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 π Oncology.
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
AI analyzes entire endoscopy cases for gastric cancer
A new foundation model bypasses cherry-picked images to evaluate gastric cancer risk using every photo taken during an endoscopy.
July 3, 2026
AI models struggle with precise cancer registry dates
Automating cancer registries with artificial intelligence sounds like an easy win, but new data shows these models fail at the precise timelines crucial for tracking patient care.
June 29, 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
AI predicts breast cancer risk from ultrasound images
A new deep learning model outperforms traditional risk scores by extracting hidden risk signals directly from routine screening ultrasound images.
June 26, 2026
AI Spots Brain Tumor Risks From Routine Slides
High-tech cancer diagnostics are currently a luxury of the wealthiest health systems, but a shift in how we analyze basic tissue slides could soon level the playing field.
June 25, 2026
Three flagship AI models fail breast cancer diagnosis
Hiring a commercial AI to read breast cancer biopsies does not just introduce errors; it forces clinicians to choose which specific flavor of diagnostic failure they can tolerate.
June 24, 2026