
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.
Discover the newest research about AI innovations in 🎗 Oncology.

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.

A new deep learning model outperforms traditional risk scores by extracting hidden risk signals directly from routine screening ultrasound images.

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.

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.

Automated translation of complex radiology scans can finally bypass the medical jargon barrier, but only if radiologists remain the ultimate gatekeepers.

A new AI tool reveals that many prostate cancers upgraded during active surveillance were actually mischaracterized from the very start.

A new study shows that small, locally hosted AI models can clean up messy clinical text better than expected, without risking patient privacy.

A new AI model can detect lethal pancreatic tumors up to three years before they show up on standard medical scans.

By ditching expensive gene sequencing for a simpler neural network and qPCR setup, researchers may have found a way to make early cancer screening practical for local clinics.

Standard radiation therapy treats every brain tumor margin the same way, but deep learning reveals that tumor geometry and location dictate how cancer spreads.