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Mashup Score: 0
Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches. The work was led by researchers at MIT and the University of Basel.
Source: news.mit.eduCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 6
Researchers developed a potential new treatment for alopecia areata, an autoimmune disorder that causes hair loss. The microneedle patch delivers immune-regulating molecules that can teach T cells not to attack hair follicles, helping hair regrow.
Source: news.mit.eduCategories: General Medicine News, General HCPsTweet
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Mashup Score: 20
MIT CSAIL researchers create three neurosymbolic methods to help language models build libraries of better abstractions within natural language: LILO assists with code synthesis, Ada helps with AI planning, and LGA guides robotic navigation and manipulation.
Source: news.mit.eduCategories: General Medicine News, General HCPsTweet
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Mashup Score: 18This tiny chip can safeguard user data while enabling efficient computing on a smartphone - 22 day(s) ago
A new chip can efficiently accelerate machine-learning workloads on edge devices like smartphones while protecting sensitive user data from two common types of attacks — side-channel attacks and bus-probing attacks.
Source: news.mit.eduCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 4
Lincoln Laboratory, in collaboration with MIT and Harvard, demonstrated the first quantum interaction with a nanophotonic quantum memory across a deployed telecommunications fiber — a foundational step toward scalable quantum networking.
Source: news.mit.eduCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 1
MIT and other researchers developed a framework that models irrational or suboptimal behavior of a human or AI agent, based on their computational constraints. Their technique can help predict an agent’s future actions.
Source: news.mit.eduCategories: General Medicine News, General HCPsTweet
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Mashup Score: 3New AI method captures uncertainty in medical images - 1 month(s) ago
Tyche is a machine-learning framework that can generate plausible answers when asked to identify potential disease in medical images. By capturing the ambiguity in images, the technique could prevent clinicians from missing crucial information that could inform diagnoses.
Source: news.mit.eduCategories: General Medicine News, General HCPsTweet
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Mashup Score: 9
MIT researchers discover an antibiotic that could target “sleeper” bacteria that evade detection of traditional antibiotics. Using artificial intelligence, researchers screened millions of compounds to find which ones are effective against dormant bacteria.
Source: news.mit.eduCategories: General Medicine News, General HCPsTweet
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Mashup Score: 4Calcium-based MRI sensor enables more sensitive brain imaging - 2 month(s) ago
MIT neuroscientists have developed an MRI sensor that lets them monitor neuron activity deep within the brain by tracking calcium ions. This type of sensing could allow researchers to link specific brain functions to their pattern of neuron activity, and to determine how distant brain regions communicate with each other during particular tasks.
Source: news.mit.eduCategories: General Medicine News, CardiologistsTweet
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Mashup Score: 169Decoding the complexity of Alzheimer’s disease - 2 month(s) ago
Using more than 2 million cells from over 400 postmortem brain samples, MIT researchers performed the largest-scale analysis of the genomic, epigenomic, and transcriptomic changes that occur in every cell type in the brains of Alzheimer’s patients.
Source: news.mit.eduCategories: General Medicine News, Future of MedicineTweet
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