AI predicts kidney cancer immunotherapy survival rates
A new machine learning model uses basic blood markers to predict how kidney cancer patients respond to immunotherapy.
July 5, 2026
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Discover the newest research about AI innovations in 👤 Personalized Medicine.
Digital twins predict cardiac pacing success
A new digital twin model shows that one-third of heart failure patients fail cardiac therapy because surgeons are aiming at the wrong target.
July 5, 2026
Cheap DNA sequencing detects ovarian cancer
By combining two different genomic signals, researchers proved that cheap, shallow DNA sequencing can catch ovarian cancer with high accuracy.
July 4, 2026
Established machine learning matches tabular foundation models in clinical predictions
A new benchmark shows that expensive tabular foundation models offer almost no performance advantage over classic machine learning for predicting patient outcomes.
July 4, 2026
What your retina says about your heart
An AI model that calculates biological age from a simple eye photo could shift systemic disease screening from specialized clinics to the optometrist’s chair.
July 3, 2026
MedGenesis: Toward a World Model for Autonomous Clinical and Translational Research
A new AI system called MedGenesis can compress years of clinical research into hours by autonomously generating hypotheses and analyzing patient data.
June 30, 2026
AI predicts immunotherapy success across multiple cancers
A new AI model predicts immunotherapy success across different cancers by translating complex genetic data into clear biological concepts.
June 28, 2026
AI challenges genomic testing in breast cancer
A newly validated artificial intelligence model is challenging the expensive, slow-moving monopoly of genomic sequencing in breast cancer care.
June 27, 2026
AI finds protein markers for rare cervical cancer
A new AI tool bypasses the limits of scarce patient data to identify a two-protein signature that accurately flags a deadly, non-HPV cervical cancer.
June 27, 2026
Disentangling Confounders from Pathology in Long-COVID Trajectory Prediction for Women: An Interpretable Large-Language-Model Approach
A new language model attempts to solve a major diagnostic bias by separating normal hormonal transitions from actual viral damage in women.
June 25, 2026