Category: Uncategorized
Can deep learning transform heart failure prevention?
The ancient Greek philosopher and polymath Aristotle once concluded that the human heart is tri-chambered and that it was the single most important organ in the entire body, governing motion, sensation, and thought.Today, we know that the human heart actually has four chambers and that the brain largely controls motion, sensation, and thought. But Aristotle was correct in observing that the heart is a vital organ, pumping blood to the rest of the body to reach other vital organs. When a life-threatening condition like heart failure strikes, the heart gradually loses the ability to supply other organs with enough blood and nutrients that enables them to function.
Researchers from MIT and Harvard Medical School recently published an open-access paper in Nature Communications Medicine, introducing a noninvasive deep learning approach that analyzes electrocardiogram (ECG) signals to accurately predict a patient’s risk of developing heart failure. In a clinical trial, the model showed results with accuracy comparable to gold-standard but more-invasive procedures, giving hope to those at risk of heart failure. The condition has recently seen a sharp increase in mortality, particularly among young adults, likely due to the growing prevalence of obesity and diabetes. Learn more
Using AI to predict lung cancer risk
In recent years, lung cancer rates have been rising in nonsmokers, a troubling trend for the world's #1 deadliest cancer. Sybil is a deep learning model built by MIT Jameel Clinic and Mass General Brigham researchers that accurately predicts lung cancer risk up to 6 years in advance by analyzing a patient's LDCT scan. How exactly does this state-of-the-art model work and what was the key insight that brought it to life? Watch this 7-minute video featuring the researchers behind the model to learn more about how Sybil is transforming the future of lung cancer screening. Learn more
How Hallucinatory A.I. Helps Science Dream Up Big Breakthroughs
Artificial intelligence often gets criticized because it makes up information that appears to be factual, known as hallucinations. The plausible fakes have roiled not only chatbot sessions but lawsuits and medical records. For a time last year, a patently false claim from a new Google chatbot helped drive down the company’s market value by an estimated $100 billion.In the universe of science, however, innovators are finding that A.I. hallucinations can be remarkably useful. The smart machines, it turns out, are dreaming up riots of unrealities that help scientists track cancer, design drugs, invent medical devices, uncover weather phenomena and even win the Nobel Prize. Learn more
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
MIT scientists have released a powerful, open-source AI model, called Boltz-1, that could significantly accelerate biomedical research and drug development. Developed by a team of researchers in the MIT Jameel Clinic for Machine Learning in Health, Boltz-1 is the first fully open-source model that achieves state-of-the-art performance at the level of AlphaFold3, the model from Google DeepMind that predicts the 3D structures of proteins and other biological molecules. MIT graduate students Jeremy Wohlwend and Gabriele Corso were the lead developers of Boltz-1, along with MIT Jameel Clinic Research Affiliate Saro Passaro and MIT professors of electrical engineering and computer science Regina Barzilay and Tommi Jaakkola. Wohlwend and Corso presented the model at a Dec. 5 event at MIT’s Stata Center, where they said their ultimate goal is to foster global collaboration, accelerate discoveries, and provide a robust platform for advancing biomolecular modeling. Learn more
Kiran Mazumdar-Shaw named in Forbes’ list of World’s Most Powerful Women
Biocon Founder, Chairman and Managing Director and Advisory Board member of MIT Jameel Clinic Kiran Mazumdar-Shaw was recognized in Forbes' 2024 list of the World's Most Powerful Women. The list recognizes 100 exceptional women in fields such as finance, technology, media and beyond, who have significant visibility and economic impact, influencing over 1 billion people around the world. Learn more
