AI Tool Predicts Cancer Survival From Single Cells
Averaging tumor data has long blinded oncologists to the specific, high-risk cells that drive patient mortality.
July 14, 2026
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Discover the newest research about AI innovations in 👤 Personalized Medicine.
ML predicts fertility-sparing treatment success in cancer
A new machine learning model uses simple blood and nutrition markers to predict which uterine cancer patients can safely skip aggressive surgery to preserve their fertility.
July 13, 2026
AI predicts brain bleed survival without brain scans
A new machine learning model predicts 30-day mortality for brain bleed patients using routine clinical data instead of expensive brain scans, challenging the assumption that advanced imaging is required for accurate prognosis.
July 13, 2026
AI Predicts Veteran Mortality Using Outpatient Billing Codes
A new model bypasses complex clinical charts to predict long-term death risk using nothing but raw billing codes.
July 12, 2026
AI blood test spares women invasive cancer scans
A new AI-driven blood test could soon keep thousands of women out of the imaging room by ruling out womb cancer with near-perfect accuracy.
July 9, 2026
AI Predicts Fractures Using Patient History Trajectories
Static bone density scans miss how a patient’s body changes over time, but a new deep learning model proves that tracking those physical trajectories can prevent missed fracture risks.
July 8, 2026
Digital Twins Solve Rare Disease Trial Dilemma
Using virtual clones to simulate disease progression could finally solve the recruitment bottleneck that stalls rare disease drug development.
July 5, 2026
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
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