AI Finds Promising Drugs for Liver Cancer and Lung Fibrosis
Michigan State researchers use machine learning to predict gene effects from chemical structures, identifying compounds that reduced tumors in mice.
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Michigan State researchers use machine learning to predict gene effects from chemical structures, identifying compounds that reduced tumors in mice.
New AI model predicts how mutations in non-coding DNA affect genes, offering hope for solving rare disease cases that have stumped geneticists for years.
EMBL scientists use AI to spot the earliest markers of chromosomal chaos in cells, finding one in ten divisions produces errors that can seed tumors.
Betsi Cadwaladr health board uses Paige AI to triage biopsies, catching malignancies that would otherwise sit in queues for three months
University of Geneva researchers create MangroveGS, an AI that reads gene expression patterns to forecast which cancers will metastasize.
Cognita CXR drafts preliminary chest x-ray reports for radiologist review, with validation showing 16-65% detection improvements
University of Geneva's MangroveGS uses gene signatures to forecast metastasis risk, potentially sparing low-risk patients from aggressive treatment
GEMINI study finds AI integration catches cancers missed by radiologists while cutting workload by a third
Nature Medicine study finds AI with 'cognitive layer' rated higher than 74% of top human therapy sessions
Partnering with Anthropic, Ultima Genomics, and PacBio, the startup aims to sequence 100 million species and train AI models that can design therapeutics from a disease prompt.
UC Berkeley and UCSF release an open-source radiology AI that processes 3D scans 150x faster than existing models and beats big tech on diagnostic accuracy.
Machine learning models screened 1.6 million potential drug pairings and identified synergistic combinations that neither drug achieves alone. Lab tests confirmed the predictions work.
AMIE achieved 90% diagnostic accuracy across 100 patients at Beth Israel with no safety stops required, marking a milestone for conversational AI in healthcare
Cleveland Clinic study shows AI screening identified rare disease patients in days that traditional methods missed over months - with better diversity outcomes.
Google DeepMind and Yale's 27B parameter model identified how silmitasertib plus interferon can boost cancer antigen presentation by 50%
University of Missouri releases PSBench, a massive benchmark database to help researchers know when AI protein predictions can be trusted
Brown University research identifies 15 ethical risks when LLMs act as therapists, including crisis mishandling and reinforcing harmful beliefs.
Claire becomes the first AI-enabled system cleared to assess tumor margins during lumpectomy, potentially reducing repeat surgeries.
Multiple biotech companies are sprinting to bring the first fully AI-designed antibody drugs to human testing. Here's how they're doing it and what it could mean for medicine.
Data from the world's first national deployment of AI stroke diagnosis shows patients are three times more likely to recover without disability when hospitals use the technology.
Arc Institute researchers created 16 viable bacteriophages using generative AI, with cocktails that overcome antibiotic-resistant bacteria
Mount Sinai researchers found OpenAI's health chatbot recognized dangerous symptoms in its own explanations but still told patients to wait instead of seeking emergency care.
Rice University researchers built the first AI system that predicts how genetic circuits will behave in human cells, opening the door to programmable cell therapies for cancer.
A new 'clock model' using plasma p-tau217 can forecast Alzheimer's symptom onset within 3-4 years, potentially transforming diagnosis and clinical trials.