
AI Identifies Two New Subtypes of Multiple Sclerosis
Scientists have used artificial intelligence to discover two new biological subtypes of multiple sclerosis, paving the way for personalized patient treatments.
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Scientists have used artificial intelligence to discover two new biological subtypes of multiple sclerosis, paving the way for personalized patient treatments.

A new AI model from Google and Yale has identified a drug that may make cancer tumors more visible to the immune system, a finding now confirmed in lab tests.

Researchers at the Medical University of South Carolina used AI and brain imaging to predict the success of rTMS therapy for smokers trying to quit.

In a first-of-its-kind study, scientists have used artificial intelligence to design and create new viruses that can successfully kill harmful bacteria like E. coli.

Researchers enhanced Google's Gemini AI with real-world Fitbit data, creating a personal health model with improved sleep and fitness coaching capabilities.

Johns Hopkins researchers developed an AI model that analyzes routine ECG heart tests to predict post-surgery complications with 85% accuracy, surpassing current methods.