Medicine

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Predictive Analytics Can Help Us Deliver Personalized Healthcare

ai, AI (Artificial Intelligence), Artificial Intelligence, Medicine

Predictive analytics is a driving force of modern-day medicine. The technique enables more personalized healthcare, which it does in several ways. Whether through data mining electronic healthcare records, health surveys, or medical alert services, there’s plenty you can do with predictive analytics. So — if you want to know: How predictive analytics can enable effective […]

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How Artificial Intelligence Is Transforming Diabetes Care

ai, AI (Artificial Intelligence), Artificial Intelligence, Business, Medicine

Artificial intelligence and diabetes: two topics that are very close to my heart. That’s why, in association with World Diabetes Day, I’ve decided to show you the many fascinating ways AI is helping the medical world gain ground in the fight against the disease. Whether you have diabetes or not: I have no doubt you’ll

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Can AI help predict which heart-failure patients will worsen within a year?

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, data, Electrical engineering and computer science (EECS), Harvard-MIT Health Sciences and Technology, Health care, Health sciences and technology, Jameel Clinic, Machine Learning, Medicine, MIT Schwarzman College of Computing, Research, Research Laboratory of Electronics, School of Engineering

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient’s lungs, legs, feet, and other parts of the body. The condition is chronic and incurable, often leading to arrhythmias or sudden cardiac arrest. For many centuries, bloodletting and leeches were the treatment of choice, famously practiced

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3 Questions: Building predictive models to characterize tumor progression

ai, AI (Artificial Intelligence), Artificial Intelligence, Biology, Cancer, Computational biology, DNA, Evolution, Faculty, Genetics, Health sciences and technology, Institute for Medical Engineering and Science (IMES), Interview, Koch Institute, Machine Learning, Medicine, School of Science

Just as Darwin’s finches evolved in response to natural selection in order to endure, the cells that make up a cancerous tumor similarly counter selective pressures in order to survive, evolve, and spread. Tumors are, in fact, complex sets of cells with their own unique structure and ability to change. Today, artificial Intelligence and machine learning

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How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Digital technology, Ecology, Electronics, Environment, Faculty, Health, Internet of things, Machine Learning, Media Lab, Medicine, Physics, Profile, School of Architecture and Planning, School of Science, Sensors, Space, Wearable sensors, Wireless

Joseph Paradiso thinks that the most engaging research questions usually span disciplines. Paradiso was trained as a physicist and completed his PhD in experimental high-energy physics at MIT in 1981. His father was a photographer and filmmaker working at MIT, MIT Lincoln Laboratory, and the MITRE Corporation, so he grew up in a house where artists, scientists,

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AI to help researchers see the bigger picture in cell biology

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Biological engineering, Biology, Broad Institute, Cells, Computer science and technology, Diagnostics, Electrical engineering and computer science (EECS), Genetics, Health, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine Learning, Medicine, MIT Schwarzman College of Computing, National Institutes of Health (NIH), Research, School of Engineering

Studying gene expression in a cancer patient’s cells can help clinical biologists understand the cancer’s origin and predict the success of different treatments. But cells are complex and contain many layers, so how the biologist conducts measurements affects which data they can obtain. For instance, measuring proteins in a cell could yield different information about the

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Federated Learning: Issues in Medical Application

Artificial Intelligence, arXiv, Ciencia de Datos | 🇬🇧 Data Science, Copyright, Creative Commons, D. Learning, English, English (Articles), English (Paper), Frameworks (Article), Importan to, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Medicina | 🇬🇧 Medicine, Medicine, Medicine (Paper), news, Numbered, Open Access, Papers, Programación y frameworks en IA | 🇬🇧 Programming and frameworks in AI, Research, TheMedicine

In this presentation, the current issues to make federated learning flawlessly useful in the real world will be briefly overviewed. They are related to data/system heterogeneity, client management, traceability, and security. Also, we introduce the modularized federated learning framework, we currently develop, to experiment various techniques and protocols to find solutions for aforementioned issues. The

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Highly accurate protein structure prediction with AlphaFold

Artificial Intelligence, Biointelligence (Article), by-nc-nd, Copyright, Creative Commons, D. Learning, English (Articles), English (Paper), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Medicina | 🇬🇧 Medicine, Medicine, Medicine (Paper), nature, news, Numbered, Open Access, Papers, Research, TheMedicine

Underpinning the latest version of AlphaFold is a novel machine learning approach that incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into the design of the deep learning algorithm.

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AI deepfakes of real doctors spreading health misinformation on social media

Artificial Intelligence, Artificial intelligence (AI), Deepfake, Digital media, Health, Internet, Medicine, Social media, Technology, TikTok, UK news, US news

Hundreds of videos on TikTok and elsewhere impersonate experts to sell supplements with unproven effectsTikTok and other social media platforms are hosting AI-generated deepfake videos of doctors whose words have been manipulated to help sell supplements and spread health misinformation.The factchecking organisation Full Fact has uncovered hundreds of such videos featuring impersonated versions of doctors

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How AI is Reducing Emergency Room Overcrowding

ai, Artificial Intelligence, Medicine

Emergency room overcrowding has become one of healthcare’s most pressing challenges, putting countless lives at risk through delayed care and strained resources. The scale of this crisis is stark: over 1.5 million patients experienced wait times exceeding 12 hours in major emergency departments in 2023, with 65% of these cases involving patients awaiting admission. Among

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