Rhythm in the Brain: Music Exposure Influences Rhythmic Interpretation – Neuroscience News

Summary: A new study involving participants from 15 countries, shed light on the universal preference for simple integer ratios in rhythms, revealing significant cultural variations in musical perception.

This research, conducted with 39 groups, including people from traditional societies, indicates that while theres a common bias towards certain rhythmic structures, the specific preferences can differ markedly across cultures. The findings suggest that the brains bias towards these rhythms aids in error correction during music production, ensuring the consistency of musical systems across generations.

This landmark study, which is unparalleled in its scope, emphasizes the need for diverse, global research to fully understand the complexities of music perception.

Key Facts:

Source: MIT

When listening to music, the human brain appears to be biased toward hearing and producing rhythms composed of simple integer ratios for example, a series of four beats separated by equal time intervals (forming a 1:1:1 ratio).

However, the favored ratios can vary greatly between different societies, according to a large-scale study led by researchers at MIT and the Max Planck Institute for Empirical Aesthetics and carried out in 15 countries.

The study included 39 groups of participants, many of whom came from societies whose traditional music contains distinctive patterns of rhythm not found in Western music.

Our study provides the clearest evidence yet for some degree of universality in music perception and cognition, in the sense that every single group of participants that was tested exhibits biases for integer ratios. It also provides a glimpse of the variation that can occur across cultures, which can be quite substantial, saysNori Jacoby, the studys lead author and a former MIT postdoc, who is now a research group leader at the Max Planck Institute for Empirical Aesthetics in Frankfurt, Germany.

The brains bias toward simple integer ratios may have evolved as a natural error-correction system that makes it easier to maintain a consistent body of music, which human societies often use to transmit information.

When people produce music, they often make small mistakes. Our results are consistent with the idea that our mental representation is somewhat robust to those mistakes, but it is robust in a way that pushes us toward our preexisting ideas of the structures that should be found in music, says Josh McDermott,an associate professor of brain and cognitive sciences at MIT and a member of MITs McGovern Institute for Brain Research and Center for Brains, Minds, and Machines.

McDermott is the senior author of the study, which appears today inNature Human Behaviour.The research team also included scientists from more than two dozen institutions around the world.

A global approach

The new study grew out of a smaller analysis that Jacoby and McDermott published in 2017. Inthat paper, the researchers compared rhythm perception in groups of listeners from the United States and the Tsimane, an Indigenous society located in the Bolivian Amazon rainforest.

To measure how people perceive rhythm, the researchers devised a task in which they play a randomly generated series of four beats and then ask the listener to tap back what they heard.

The rhythm produced by the listener is then played back to the listener, and they tap it back again. Over several iterations, the tapped sequences became dominated by the listeners internal biases, also known as priors.

The initial stimulus pattern is random, but at each iteration the pattern is pushed by the listeners biases, such that it tends to converge to a particular point in the space of possible rhythms, McDermott says.

That can give you a picture of what we call the prior, which is the set of internal implicit expectations for rhythms that people have in their heads.

When the researchers first did this experiment, with American college students as the test subjects, they found that people tended to produce time intervals that are related by simple integer ratios. Furthermore, most of the rhythms they produced, such as those with ratios of 1:1:2 and 2:3:3, are commonly found in Western music.

The researchers then went to Bolivia and asked members of the Tsimane society to perform the same task. They found that Tsimane also produced rhythms with simple integer ratios, but their preferred ratios were different and appeared to be consistent with those that have been documented in the few existing records of Tsimane music.

At that point, it provided some evidence that there might be very widespread tendencies to favor these small integer ratios, and that there might be some degree of cross-cultural variation. But because we had just looked at this one other culture, it really wasnt clear how this was going to look at a broader scale, Jacoby says.

To try to get that broader picture, the MIT team began seeking collaborators around the world who could help them gather data on a more diverse set of populations. They ended up studying listeners from 39 groups, representing 15 countries on five continents North America, South America, Europe, Africa, and Asia.

This is really the first study of its kind in the sense that we did the same experiment in all these different places, with people who are on the ground in those locations, McDermott says.

That hasnt really been done before at anything close to this scale, and it gave us an opportunity to see the degree of variation that might exist around the world.

Cultural comparisons

Just as they had in their original 2017 study, the researchers found that in every group they tested, people tended to be biased toward simple integer ratios of rhythm.However, not every group showed the same biases. People from North America and Western Europe, who have likely been exposed to the same kinds of music, were more likely to generate rhythms with the same ratios. However, many groups, for example those in Turkey, Mali, Bulgaria, and Botswana showed a bias for other rhythms.

There are certain cultures where there are particular rhythms that are prominent in their music, and those end up showing up in the mental representation of rhythm, Jacoby says.

The researchers believe their findings reveal a mechanism that the brain uses to aid in the perception and production of music.

When you hear somebody playing something and they have errors in their performance, youre going to mentally correct for those by mapping them onto where you implicitly think they ought to be, McDermott says.

If you didnt have something like this, and you just faithfully represented what you heard, these errors might propagate and make it much harder to maintain a musical system.

Among the groups that they studied, the researchers took care to include not only college students, who are easy to study in large numbers, but also people living in traditional societies, who are more difficult to reach.

Participants from those more traditional groups showed significant differences from college students living in the same countries, and from people who live in those countries but performed the test online.

Whats very clear from the paper is that if you just look at the results from undergraduate students around the world, you vastly underestimate the diversity that you see otherwise, Jacoby says.

And the same was true of experiments where we tested groups of people online in Brazil and India, because youre dealing with people who have internet access and presumably have more exposure to Western music.

The researchers now hope to run additional studies of different aspects of music perception, taking this global approach.

If youre just testing college students around the world or people online, things look a lot more homogenous. I think its very important for the field to realize that you actually need to go out into communities and run experiments there, as opposed to taking the low-hanging fruit of running studies with people in a university or on the internet, McDermott says.

Funding: The research was funded by the James S. McDonnell Foundation, the Canadian National Science and Engineering Research Council, the South African National Research Foundation, the United States National Science Foundation, the Chilean National Research and Development Agency, the Austrian Academy of Sciences, the Japan Society for the Promotion of Science, the Keio Global Research Institute, the United Kingdom Arts and Humanities Research Council, the Swedish Research Council, and the John Fell Fund.

Author: Sarah McDonnell Source: MIT Contact: Sarah McDonnell MIT Image: The image is credited to Neuroscience News

Original Research: The findings will appear in Nature Human Behavior

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Rhythm in the Brain: Music Exposure Influences Rhythmic Interpretation - Neuroscience News

Prestigious 2024 Brain Prize awarded to Hebrew University’s Prof. Haim Sompolinsky by Lundbeck Foundation – EurekAlert

image:

Prof. Haim Sompolinsky

Credit: Kris Snibbe/Harvard File

Prof. Haim Sompolinsky of the Hebrew University and Harvard University has been awarded the Brain Prize for 2024, the largest and most prestigious international prize in neuroscience.

Prof. Haim Sompolinsky a physicist and neuroscience researcher at the Edmond and Lily Safra Center for Neuroscience (ELSC) at the Hebrew University and Professor at the Center for Brain Science (CBS) at Harvard University is the first Israeli scientist to receive this esteemed prize, which is awarded to pioneers in the field of neuroscience. He shares the prize totaling 1.3 million euros with Professor Larry Abbott at Columbia University (USA) and Professor Terrence Sejnowski at the Salk Institute (USA).

Prof. Sompolinsky is renowned for his groundbreaking work in theoretical and computational neuroscience, particularly in the study of neural circuit dynamics in the brain. His research has significantly contributed to our understanding of how neural circuits process and encode information, map the external world, and participate in learning and memory. Through a combination of theoretical and computational approaches, his work has elucidated key computational principles underlying brain function.

Prof. Sompolinsky responded: I am deeply honored to have been recognized with the Brain Prize 2024, an award that underscores the central contribution of theoretical and computational neuroscience to brain science. This distinction also allows me to highlight the pioneering efforts of the Hebrew University in fostering the development of interdisciplinary brain research.

The Brain Prize, initiated in 2011 and awarded annually by the Lundbeck Foundation, is considered the most prestigious award in neuroscience. It recognizes researchers whose work has advanced the field, from fundamental research to clinical applications. Prof. Sompolinsky's research not only deepens our knowledge of the brain's inner workings but also holds promise for applications in brain-inspired artificial intelligence.

Prof. Asher Cohen, President of the Hebrew University commented: "Prof. Sompolinsky's Brain Prize triumph is a testament to his pioneering contributions in computational neuroscience, unraveling neural circuit dynamics and laying the foundation for insights into information processing. His groundbreaking work inspires artificial intelligence, blending experimentation and theory to illuminate fundamental computational principles in brain function. This recognition not only honors his exceptional achievements but serves as a beacon guiding us toward further revelations at the intersection of neuroscience and computation."

The 2024 Brain Prize will be presented on May 30, 2024 to the three winners, Professor Haim Sompolinsky at Hebrew University (Israel) and Harvard University (USA), Professor Larry Abbott at Columbia University (USA), Professor Terrence Sejnowski at the Salk Institute (USA). The Brain Prize recipients are presented with their award by His Royal Highness, King Frederik of Denmark, at a ceremony in the Danish capital, Copenhagen.

Prof. Haim Sompolinsky is the son of the late Prof. David Sompolinsky, who was born in Denmark. Together with friends from the Danish Underground, he saved hundreds of Danish Jews from Nazi persecution in October 1943 by smuggling them by fishing boats to a safe haven in Sweden.

The Hebrew University of Jerusalem is Israels premier academic and research institution. With over 25,000 students from 90 countries, it is a hub for advancing scientific knowledge and holds a significant role in Israels civilian scientific research output, accounting for nearly 40% of it and has registered over 11,000 patents. The universitys faculty and alumni have earned eight Nobel Prizes and a Fields Medal, underscoring their contributions to ground-breaking discoveries. In the global arena, the Hebrew University ranks 86th according to the Shanghai Ranking. To learn more about the universitys academic programs, research initiatives, and achievements, visit the official website at http://new.huji.ac.il/en

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Prestigious 2024 Brain Prize awarded to Hebrew University's Prof. Haim Sompolinsky by Lundbeck Foundation - EurekAlert

Pioneering work in computational and theoretical neuroscience is awarded the world’s largest brain research prize – EurekAlert

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The Brain Prize medal is awarded to the recipients at a ceremony in Copenhagen. His royal highness, king Frederik of Denmark, attends this ceremony and awards the medals.

Credit: The Lundbeck Foundation

The Lundbeck Foundation has announced the recipients of The Brain Prize 2024, the worlds largest award for outstanding contributions to neuroscience. This years award recognizes the pioneering work of three leading neuroscientists Professor Larry Abbott at Columbia University (USA), Professor Terrence Sejnowski at the Salk Institute (USA), and Professor Haim Sompolinsky at Harvard University (USA) and the Hebrew University (Israel).

Theoretical and computational neuroscience permeates neuroscience today and is of increasingly growing importance. The winners of The Brain Prize 2024 have made pioneering contributions to these scientific areas by uncovering some of the principles that govern the brains structure, function, and the emergence of cognition and behaviour.

Chair of The Brain Prize Selection Committee, Professor Richard Morris, explains the reasoning behind this years award:

It is inconceivable to imagine modern brain sciences without the concomitant development ofn computational and theoretical neuroscience. The three scientists have applied novel and sophisticated approaches from physics, mathematics, and statistics to study the brain. They have developed vital tools for the analysis of highly complex datasets acquired by modern day experimental neuroscientists. The three prize winners have also proposed conceptual frameworks for understanding some of the brains most fundamental processes such as learning, memory, perception and how the brain generates maps of the external world. They have also provided crucial new insights into what may go awry in several devastating disorders of the nervous system, such as epilepsy, Alzheimers disease, and schizophrenia. In addition, their scientific achievements have paved the way for the development of brain-inspired artificial intelligence, one of the emerging and transformational technologies of our time.

On behalf of the Lundbeck Foundation, CEO Lene Skole extends her warmest congratulations to each of the three Brain Prize recipients:

Their pioneering research has created trailblazing knowledge and paved the way for other scientists to better understand critical brain functions, also in relation to diseases. It aligns fully with our purpose of bringing discoveries to lives. Each of their scientific endeavours began in the 70s, and their determination, courage and persistence over decades should serve as inspiration for other scientists, and indeed be rewarded.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Pioneering work in computational and theoretical neuroscience is awarded the world's largest brain research prize - EurekAlert

Advancing Chemistry with AI: New Model for Simulating Diverse Organic Reactions – Lab Manager Magazine

Key Takeaways:

Researchers from Carnegie Mellon University and Los Alamos National Laboratory have used machine learning to create a model that can simulate reactive processes in a diverse set of organic materials and conditions.

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"It's a tool that can be used to investigate more reactions in this field," said Shuhao Zhang, a graduate student in Carnegie Mellon University'sDepartment of Chemistry. "We can offer a full simulation of the reaction mechanisms."

Zhang is the first author on the paper that explains the creation and results of this new machine learning model, "Exploring the Frontiers of Chemistry with a General Reactive Machine Learning Potential," which was published in Nature Chemistry on March 7.

Though researchers have simulated reactions before, previous methods had multiple problems. Reactive force field models are relatively common, but they usually require training for specific reaction types. Traditional models that use quantum mechanics, where chemical reactions are simulated based on underlying physics, can be applied to any materials and molecules, but these models require supercomputers to be used.

This new general machine learning interatomic potential (ANI-1xnr) can perform simulations for arbitrary materials containing the elements carbon, hydrogen, nitrogen, and oxygen and requires significantly less computing power and time than traditional quantum mechanics models. According to Olexandr Isayev, associate professor of chemistry at Carnegie Mellon and head of the lab where the model was developed, this breakthrough is due to developments in machine learning.

"Machine learning is emerging as a powerful approach to construct various forms of transferable atomistic potentials utilizing regression algorithms. The overall goal of this project is to develop a machine learning method capable of predicting reaction energetics and rates for chemical processes with high accuracy, but with a very low computational cost," Isayev said. "We have shown that those machine learning models can be trained at high levels of quantum mechanics theory and can successfully predict energies and forces with quantum mechanics accuracy and an increase in speed of as much as 6-7 orders of magnitude. This is a new paradigm in reactive simulations."

Researchers tested ANI-1xnr on different chemical problems, including comparing biofuel additives and tracking methane combustion. They even recreated the Miller experiment, a famous chemical experiment meant to demonstrate how life originated on Earth. Using this experiment, they found that the ANI-1xnr model produced accurate results in condensed-phase systems.

Zhang said that the model could potentially be used for other areas in chemistry with further training.

"We found out it can be potentially used to simulate biochemical processes like enzymatic reactions," Zhang said. "We didn't design it to be used in such a way, but after modification it may be used for that purpose.

In the future, the team plans to refine ANI-1xnr and allow it to work with more elements and in more chemical areas, and they will try to increase the scale of the reactions it can process. This could allow it to be used in multiple fields where designing new chemical reactions could be relevant, such as drug discovery.

- This press release was originally published on the Carnegie Mellon University website

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Advancing Chemistry with AI: New Model for Simulating Diverse Organic Reactions - Lab Manager Magazine

WEGOVY APPROVED FOR HEART RISK: U-Mich cardiology, obesity medicine experts available for interview – Newswise

BYLINE: Noah Fromson

On March 8, the U.S. Food and Drug Administration approved a new indication for the use of semaglutide (brand Wegovy) to reduce the risk of cardiovascular death, heart attack and stroke in adults with cardiovascular disease and either obesity or overweight. The FDA notes it should be used in addition to reduced calorie diet and increased physical activity. As you cover this, University of Michigan has experts in both prevention of cardiovascular disease and weight management/obesity medicine available for interview related to this development: Eric J. Brandt, M.D., M.H.S., is the director of preventive cardiology at the University of Michigan Health Frankel Cardiovascular Center. Brandt is a cardiologist/lipidologist and a clinical lecturer of internal medicine-cardiology at U-M Medical School.

Andrew Kraftson, M.D., is the director of the Weight Navigation Program and the Post-bariatric endocrinology clinic at the University of Michigan. Kraftson is an endocrinologist/obesity medicine specialist and a clinical associate professor of internal medicine-endocrinology at U-M Medical School. I am happy to facilitate an interview if you are interested. Noah Fromson (He/Him/His)Senior Public Relations Specialist & Medical Content ProducerFrankel Cardiovascular Center, Neurosciences, Kahn Pavilion, Broadcast ClipsC: (216) 509-8604

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WEGOVY APPROVED FOR HEART RISK: U-Mich cardiology, obesity medicine experts available for interview - Newswise

PA Martine Altieri Brings an Obesity Medicine Clinic to Her Cardiology Patients – AAPA

PAs treat people with obesity every dayit affects every specialty

March 5, 2024

By Jennifer Walker

About nine years ago, when she was practicing in family medicine, Martine Altieri, PA-C, FMG, MHS, now a cardiology PA, was struck by how her collaborating physician addressed obesity with patients. He would tell them the long-held advice about treating this disease: They needed to exercise more; they needed to eat healthier food and less of it; they needed to fill half of their plate with greens. The patients really felt apprehensive about having this conversation because of the way he approached it and mostly blamed them for gaining weight, Altieri said. I always felt bad for them. I thought, Theres got to be another way.

During the pandemic, Altieri began to take courses on obesity medicine, completing the Fundamentals of Obesity Treatment course with the Obesity Medicine Association (OMA) and the Obesity Management in Primary Care Training and Certificate Program with AAPA in collaboration with The Obesity Society. In these programs, she learned how to approach an obesity diagnosis and craft comprehensive, evidence-based plans for patients based on the four pillars of clinical obesity treatment: nutrition therapy, physical activity, behavior modifications, and medical interventions.

Then in 2022, Altieri found a way to formally bring obesity medicine into her work. She was applying for a position with MyCardiologist, a group of private practices in Florida, when interviewers asked what new ideas she could bring to their practice. Altieri expressed a desire to start an obesity medicine clinic tailored to cardiology patients. She was hired and has since been making that dream a reality.

Today, Altieri, who is based in Boca Raton, Florida, is focusing on building up the clinic to address obesity, which was classified as a chronic disease by the American Medical Association in 2013. She is also a leader, advocate, and educator in several special-interest groups and AAPA caucuses, including PAs in Obesity Medicine, for which she is director at large. Altieriwho is also the public relations chair for PAs for Women Empowerment and a co-host for the Journal of the American Academy of PAs (JAAPA) podcastvalues this role because she sees the importance of all PAs learning how to approach obesity with their patients.

Every PA should be interested in obesity medicine, she said. It affects every specialty.

Addressing Obesity in a Cardiology Practice Altieri graduated from medical school in Haiti before moving to the United States in 2008 to be with her husband. To become a physician in the U.S., she would have had to go through the lengthy process of taking the three-step United States Medical Licensing Exam and completing at least a three-year residency program. Then she learned about the PA profession through her sister-in-law, and realized that she could practice more quickly if she became a PA.

After graduating from the PA program at Miami Dade College in 2010, Altieri practiced in family medicine, urgent care, and hospital medicine before transitioning to cardiology. At MyCardiologist, about 80% of her patients are age 70 or older. Altieri has a full schedule in this specialty: She does rounds at the hospital, cares for patients in an outpatient setting, and spends a half-day a week doing implants of loop recorders, a device that looks for causes of cardiac symptoms, such as irregular heartbeats and palpitations.

Yet, Altieri still has undertaken additional responsibilities to support her patients who have obesity and other chronic conditions that can increase the risk of cardiovascular diseases. She recently finished developing a template and resources for the obesity medicine clinic, including prioritizing the medication list and working with a dietician to create food plans that are specific for cardiac patients. When creating these resources, she thinks about her patients backgrounds. If you tell a Haitian patient they need to follow a Mediterranean diet, they dont know what that is, she said. We have to be specific. I give patients specific food lists so they know what they can buy and eat.

[For more information on obesity, check out AAPAs Obesity Toolkit]

When treating obesity, Altieri has also stuck to one approach that she learned in the beginning of her courses: She asks permission before starting the conversation. Not everyone is available or willing to talk about obesity, she said. You cant just offer obesity management. They have to be ready. Altieri likes to ask, May I talk to you about obesity? If her patients say no, she knows it is not the right time to address this topic.

Altieri also manages the Ambulatory Patient Monitoring Program to offer earlier interventions for patients who have high blood pressure, heart failure, and/or obesity. This initiative focuses on at-home monitoring of blood pressure, oxygen, pulse, and weight. Patients use a blood pressure device and a digital scale that transfer their readings to their charts via the cloud. Based on these metrics, which Altieri checks monthly, she will schedule virtual visits for patients if changes need to be made to their treatment plans for hypertension or heart failure. Altieri estimates there are more than 170 patients enrolled in the program.

We are looking for opportunities to add patients who have recurrent hospitalizations for heart failure or repeated ED visits with uncontrolled hypertension, and who we feel would benefit from more care at home, she said. Our goal is to prevent hospitalization and reduce ER visits. And patients like the idea of someone looking after them.

Educating Communities About Obesity and More Altieri is involved with several groups and activities that focus on various aspects of medicine. For PAs for Women Empowermentwhich focuses on advocating and promoting leadership roles for women in the PA profession and healthcare in generalAltieri manages the groups social media accounts. She educates the community about initiatives like The Pump Act, which states that mothers in the workplace have a right to break time and a secure spot to express milk for up to one year after their childs birth, and highlights women who hold or have held prominent positions within healthcare.

In 2023, Altieri also became a co-host for the JAAPA podcast. Previously, each episode of this show was focused on summarizing and reviewing JAAPA articles. But Altieri and her fellow co-host, PA Kim Ketchersid, introduced a new concept: They started to interview the authors who published the articles.

And since 2021, Altieriwho is currently working on a certification in cardiometabolic healthhas been a founding member of PAs in Obesity Medicine (PAOM). This group offers periodic information sessions that highlight obesity medicine education programs for PAs. PAOM also hosts webinars on obesity medicine topics throughout the year, such as a recent CME presentation on approaching and treating obesity from the endocrine perspective.

PAOM, whose membership has grown by 32% in three years, also plans to hold a meeting at AAPA 2024 in Houston, Texas, where several board members will present on obesity medicine. The groups goal is to reach as many PAs as possible with education and resources about the growing specialty.

PAs treat people with obesity every day, Altieri said. The more PAs know about obesity as a disease, the more we can help our patients.

Jennifer Walker is a freelance writer in Baltimore, MD. Contact Jennifer at[emailprotected].

You May Also Like Experts Address Pressing Questions Regarding Pharmacologic Obesity Treatment Bilingual PA Ledyenska Ballesteros Has Built an Obesity Medicine Program to Serve Her Primarily Hispanic Patient Population TV Host and Wellness Kitchenista PA Jessica DeLuise Promotes a Food-as-Medicine Philosophy

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PA Martine Altieri Brings an Obesity Medicine Clinic to Her Cardiology Patients - AAPA

Houston cardiology-focused tech platform exits to private equity, plans to scale – InnovationMap

A Houston health tech startup founded only last year has exited to a New York private equity firm.

CardioOne, which built a physician enablement platform for independent cardiologists, has been acquired by WindRose Health Investors. The complete terms of the deal were not disclosed, but according to a WindRose news release, the firm will provide up to $100 million of additional capital to go toward supporting CardioOne's growth.

The fresh influx of capital will go toward expanding and enhancing existing service options. The CardioOne leadership team will continue to be at the helm of the startup.

"We are excited for the opportunity to partner with WindRose as CardioOne embarks on its next chapter of growth," Dr. Jasen Gundersen, CardioOne's CEO and co-founder, says in the release. "We believe that working with WindRose, which has a history of successfully partnering with companies to help navigate the transition to value-based care, will empower us to continue supporting independent cardiologists while developing additional solutions that maximize each practice's potential in the shift to VBC arrangements."

Last year, CardioOne raised an $8 million seed round and announced key partnerships at clinics in New Jersey, Florida, and Pennsylvania, in addition to existing relationships in Texas and Maryland. CardioOne also partnered with MedAxiom, an organizational performance solutions provider in the industry.

"CardioOne's unique, physician-aligned model meets the market where it is and positions the Company to take advantage of the growing desire among cardiologists to maintain their independence," Oliver Moses, managing partner with WindRose, adds. "We believe CardioOne delivers a compelling tech-enabled offering to the independent cardiology market and has significant growth potential as the Company builds upon its momentum in 2023. We are excited to join forces with Jasen and his team as they continue to build upon the differentiated platform they have created."

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Houston cardiology-focused tech platform exits to private equity, plans to scale - InnovationMap

AHA Sums Up AI’s Potential in Cardiology, but Also the Hurdles Ahead – TCTMD

Questions about the impact of artificial intelligence (AI) on cardiovascular medicine should be qualified with a when rather than if, according to a new American Heart Association (AHA) scientific statement. Much work remains, though, before these tools can be widely trusted to improve patient care, the authors stress.

Outlining the ways AI, machine learning, and deep learning have already been engrained in medical practice as well as the tools in development, the authors express optimism about their potential to improve diagnosis and treatment as well as prevention, but had some words of caution. Despite enormous academic interest and industry financing, AI-based tools, algorithms, and systems of care have yet to improve patient outcomes at scale, the authors state.

As with any technology, we get excited about its impact, but I believe this is a technology where the impact is unknown, writing committee chair Antonis Armoundas, PhD (Massachusetts General Hospital, Boston, MA), told TCTMD.

Armoundas stressed the commitment of physicians to do no harm and pointed out that improper use of AI-based tools has the potential to adversely affect patients.

It feels like an Oppenheimer moment as we are trying to seek out how to improve outcomes for our patients, whether these are healthcare outcomes or quality of life, he explained. The speed at which this technology evolves makes us humble in being able to ground ourselves and think of the implications of what we are trying to accomplish, how we are going to achieve these goals, and being mindful of the potential negative effects that it could have.

The statement, published online last week in Circulation, is the AHAs second addressing AI this year, with the first directed specifically at its role in cardiac imaging.

What we should be seeking in the future is to build trust for these technologies, as with every other use of technology in medicine.Antonis Armoundas

With a wide variety of AI-based algorithms now available, including for reducing cath lab activation time in STEMI, detecting cardiomyopathy in pregnancy, and identifying heart failure or hypertrophic cardiomyopathy, the impact of these tools is already being felt by cardiologists. In compiling a statement of best practices and associated challenges, Armoundas said the AHA statement aimed to focus both on whats worked as well as identifying gaps and challenges, providing a framework for future efforts.

From clinicians to researchers, IT executives, and government entities, he said all invested stakeholders can take something away from the statement. This manuscript aims to provide a motive: a reason to go deeper and to look for more issues of interest, Armoundas said.

Best Practices and Associated Challenges

The authors identify six main uses and clinical applications of AI within the field of cardiology: cardiac imaging, electrocardiology, continuous bedside monitoring, mobile and wearable technologies, genetics, and electronic health records (EHR). Along with best practices for each of these categories, they list specific gaps and challenges as well. The biggest ones surround patient safety and data protection, bias and fairness, accountability and reliability, regulations and liability, cybersecurity and system upgrades, and clinical decision-making.

With in-hospital monitoring, for example, remote sensors may help improve the accuracy of alarms as well as reduce alarm fatigue. However, the authors point out that while this might sound appealing, limited data exist for these tools and the research that has been done shows that their effect can be altered by patient behavior.

Additionally, they cite the potential for AI to mine EHR data to make diagnoses and predict outcomes like in-hospital mortality. Again, though, challenges around EHR data curation and consistency have been shown to directly affect the potential for AI-based tools in this space, and the authors advise waiting until those issues are corrected before putting any algorithm into routine practice.

As exciting as many of these algorithms sound, Armoundas cautioned that there is a broad shortage of prospective data at this time, and among the studies that do have prospective designs, many are limited by narrow demographics. Increasing the generalizability of these algorithms will give these tools the chance to have a greater impact, he said. What we should be seeking in the future is to build trust for these technologies, as with every other use of technology in medicine.

This can only be done gradually, Armoundas continued, through prospective clinical trials. But the US Food and Drug Administration will also play a role in the way it labels these tools for use. If an algorithm is used as labeled by the FDA, perhaps that would provide the level of security and the level of trust when it is used by clinicians and when it has to be adopted by patients, he said, adding that this will be especially important as these tools start to be used in broader populations of patients than those in the initial studies.

Another issue, he explained, is how physicians can best incorporate their own opinions with the algorithm output when making clinical decisions. We argue that algorithms at this point are more likely to be used in conjunction with expert clinician opinion, albeit we do have evidence today, especially in imaging studies, that an algorithm can perform better than an expert clinician, Armoundas said. Going back to the point of using an algorithm on an as-labeled basis, that provides not only guidance to clinicians, but provides also a level of comfort in terms of liability.

Assigning a level of probability to these algorithms will also be imperative for incorporating them into clinical care so that clinicians can make informed judgements on how to act on the data provided, he added.

Keep an Eye on AI

In a commentary published on the AHAs Professional Heart Daily website, Caroline Marra, PhD, Joseph B. Franklin, JD, PhD, and Amy P. Abernethy, MD, PhD (all from Verily Life Sciences; South San Francisco, CA), write that though there is growing consensus on the need for adequate monitoring of AI tools, agreement on the right level of monitoring is lacking and figuring out how to accomplish monitoring across so many domains is a daunting challenge.

They argue for the creation of infrastructure to be able to simultaneously analyze multiple data sources but also acknowledge that thus far efforts to do this have generated more questions than answers.

Marra et al conclude that AI tools provide an incredible opportunity to enable continuous improvement, innovation, and equity in our healthcare systems and hold the potential to optimize health for all, with the caveat that this will only be possible and responsibly done if the performance of AI tools can be tracked as theyre deployed in practice.

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AHA Sums Up AI's Potential in Cardiology, but Also the Hurdles Ahead - TCTMD

Valley Health cardiologist talks regional heart health | Nvdaily | nvdaily.com – Northern Virginia Daily

As the leading cause of death for Americans, one person dies from heart disease every 33 seconds in the country, according to the Centers for Disease Control and Prevention.

With American Heart Month recently coming to a close in February, Dr. Saif Al-Najafi from Winchester Medical Center shared what area residents should know about caring for their blood-pumping muscle year-round.

In the past 10 to 20 years, we advanced from a prognosis of heart failure being similar to cancer to almost people living a normal life on medications, Al-Najafi said.

Despite treatment improvements, it is still crucial for folks to stay away from smoking, poor diet choices and other causes of high blood pressure and high cholesterol, which can lead to developing a weak heart, he said.

Smoking and obesity both seem to be highly prevalent in the community treated at Winchester Medical Center, according to the observations of Al-Najafi and his cardiologist colleagues.

Once you have a weak heart, we want to prevent hospitalizations. And that's easily preventable as well with a good education, he said. For example, with heart failure, they come again and get admitted and many times it's just lack of education when it comes to salt intake.

One diet misconception the doctor often sees is overconsumption of canned soups, which are sometimes perceived as healthy, but usually contain high amounts of sodium. Instead, one should aim to consume less than 2 grams of salt per day, especially in cases of a weak heart, he said.

His recommended diet is intermittent fasting, which consists of restricted eating during certain periods of time. Contrary to popular belief, the keto diet raises cholesterol due to increased consumption of foods such as red meat, he said. If one chooses to go the keto route, Al-Najafi advises attempting a modified version that eliminates or lessens food high in cholesterol.

An estimated 80% of the hospitals cardiac patients are elderly, with much fewer being young. One reason Al-Najafi suggested to explain this is that the surrounding community seems to be a place where people settle down after retirement.

Older people tend to experience more heart issues, he said. But placing an emphasis on healthy lifestyles as a young person is an extremely helpful heart disease prevention tactic, he expressed.

You don't just suddenly get morbidly obese because there's stages to get there, he said. And I think discussions happen relatively later than sooner and that's a problem.

Coronary artery disease (CAD), the most common type of heart disease, is almost entirely preventable based on lifestyle choices, he said. However, genetics can certainly play a role and he recommends being screened for a family history of premature CAD.

CAD is the primary cause of heart attacks, according to the CDC.

We have actually one of the fastest or shortest response times when it comes to heart attacks in the state of Virginia, Al-Najafi said. I think last year we were number one.

Al-Najafi, who specializes in advanced cardiac imaging, reported that Winchester Medical Center has roughly 90% of the most advanced imaging technologies, such as the ability to perform cardiac CT and MRI scans.

Other specializations at the center are electrophysiology, which focuses on patients who need pacemakers or have an irregular heartbeat, as well as interventional cardiology and heart failure specialists.

In the cases where Winchester Medical Center is unable to provide the help a patient needs, it connects with nearby institutions with which it has a working relationship, Al-Najafi explained.

I think the community is lucky to have such a hospital here that, at least from the cardiology standpoint, I would say provides 90% of what is needed by the community, he said.

The good fortune goes both ways, the doctor expressed.

We're very lucky to work in a community such as Winchester where most people are extremely nice and appreciative, Al-Najafi said.

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Valley Health cardiologist talks regional heart health | Nvdaily | nvdaily.com - Northern Virginia Daily

Global Cardiology Medical Imaging Informatics Market – Cloud-powered Telecardiology to Improve Access to Healthcare – PR Newswire

DUBLIN, March 8, 2024 /PRNewswire/ -- The"Global Cardiology Medical Imaging Informatics Market Growth Opportunities" report has been added to ResearchAndMarkets.com's offering.

Cardiology is the second-largest generator of patient image data and reports, which need to be stored/archived, analyzed, and managed. This, coupled with hospitals' need to provide timely, high-quality care to patients, given the urgency of cardiology cases, necessitates a holistic view of cardiac patient data and a well-connected, enterprise-wide hospital informatics infrastructure, propelling the growth of efficient enterprise imaging informatics solutions in the cardiology specialty.

Hospitals face various challenges, such as radiologist/cardiologist burnout, rising costs, huge data silos, decentralized work environments, and the substantial time cardiologists spend on manual reporting. These factors create demand for robust cardiology image and data management, such as cardiology workflow solutions and structured reporting covering the unique needs of cardiology imaging.

Increased disease detection and diagnosis requirements also advance technology innovations across all modalities of cardiology imaging procedures, such as hybrid imaging and fusion imaging. These procedures create highly advanced images in large volumes and require appropriate cardiology diagnosis/interpretation solutions to decode/read and interpret images quickly.

As cardiology datasets increase, on-premises storage solutions will no longer be enough to manage the growing volume of cardiology data. This will drive the adoption of cloud-based cardiology image storage solutions, which are scalable and easily accessible from anywhere. Cardiology picture archive communication systems (PACS) are shifting toward cardiovascular information systems (CVIS) to meet the demand for a comprehensive, 360-degree view of patient health data from multiple disparate systems. CVIS enables a holistic view of a patient's health parameters and reduces the turnaround time for physicians to examine each patient.

Through this report, the analyst seeks to provide stakeholders with insights into the market and enable them to capture the opportunities available over the forecast period.

The report provides an overview of the global cardiology medical imaging informatics market, with a 5-year revenue forecast from 2024-2028. Cardiology informatics is an interdisciplinary field that uses data, information, and knowledge from cardiology health systems with information and communication systems for patient care with operational and financial efficiency for the enterprise. The geographical scope of this study covers 4 main regions: North America, Europe, Asia-Pacific, and the rest of the world (Latin America, Africa, and the Middle East).

The study forecast is categorized into 4 segments:

Other vital information:

Key Growth Opportunities

Key Topics Covered:

Growth Opportunity Analysis

Cardiology Imaging Informatics

Cardiovascular PACS

Cardiology Image Analysis and Visualization

Cardiology Workflow Solutions

Cardiology Enterprise Imaging

Competitive Landscape

For more information about this report visit https://www.researchandmarkets.com/r/hfjx2s

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Global Cardiology Medical Imaging Informatics Market - Cloud-powered Telecardiology to Improve Access to Healthcare - PR Newswire