Medicine

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Predictive Analytics Can Help Us Deliver Personalized Healthcare

ai, 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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MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Drug development, Electrical engineering and computer science (EECS), Health sciences and technology, Jameel Clinic, Machine Learning, Medicine, MIT Schwarzman College of Computing, Pharmaceuticals, Proteins, Research, School of Engineering, Special events and guest speakers

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct. 30, hosted by the Abdul Latif Jameel Clinic for Machine Learning in Health (MIT Jameel Clinic). Headlining the event was MIT PhD student and BoltzGen’s first author Hannes Stärk, who had announced BoltzGen just a few days

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AI maps how a new antibiotic targets gut bacteria

Algorithms, Antibiotics, Artificial Intelligence, Bacteria, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Disease, Drug development, Drug discovery, Electrical engineering and computer science (EECS), Health care, Health sciences and technology, Jameel Clinic, Machine Learning, Medicine, MIT Schwarzman College of Computing, Research, School of Engineering, Viruses

For patients with inflammatory bowel disease, antibiotics can be a double-edged sword. The broad-spectrum drugs often prescribed for gut flare-ups can kill helpful microbes alongside harmful ones, sometimes worsening symptoms over time. When fighting gut inflammation, you don’t always want to bring a sledgehammer to a knife fight.Researchers at MIT’s Computer Science and Artificial Intelligence

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Helping scientists run complex data analyses without writing code

Algorithms, Alumni/ae, Artificial Intelligence, Disease, Electrical engineering and computer science (EECS), Health, Innovation and Entrepreneurship (I&E), Machine Learning, Medicine, School of Engineering, Startups

As costs for diagnostic and sequencing technologies have plummeted in recent years, researchers have collected an unprecedented amount of data around disease and biology. Unfortunately, scientists hoping to go from data to new cures often require help from someone with experience in software engineering.Now, Watershed Bio is helping scientists and bioinformaticians run experiments and get

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New AI system could accelerate clinical research

Artificial Intelligence, Broad Institute, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Health, Health care, Imaging, Machine Learning, Medicine, MIT Schwarzman College of Computing, National Institutes of Health (NIH), Research, School of Engineering

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images.For instance, to determine how the size of the brain’s hippocampus changes as patients age, the scientist first outlines each hippocampus in a series of brain

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