Clinical Roundup

AI may be more accurate vs. traditional methods at classifying patients into prostate cancer risk groups

For localized prostate cancer, multimodal artificial intelligence models have revealed a more accurate way to assess prostate cancer risk.  By combining advanced artificial intelligence with digital pathology images and clinical data, researchers developed a way to approach risk classification that outperforms traditional methods. These findings were published in JCO Precision Oncology. The research found that... […]
Clinical Roundup

Neuro-oncology experts release clinical practice guidelines for using AI in brain cancer diagnosis, monitoring, treatment

An international, multidisciplinary team of leading neuro-oncology researchers and clinicians has released new recommendations for good clinical practice—a set of guidelines that helps ensure clinical trial results are reliable, and patients are protected—regarding the use of artificial intelligence methods to more accurately diagnose, monitor, and treat brain cancer patients. The team recently published two companion... […]
AACR progress report highlights AI’s role in research and clinical care

AACR progress report highlights AI’s role in research and clinical care
Obstacles to progress include systemic disparities and dwindling appropriations

Artificial intelligence is starting to transform life sciences by accelerating drug discovery and development, optimizing clinical trials, and creating personalized treatments for cancer patients, speakers said at the Sept. 18 unveiling of the American Association for Cancer Research 2024 Cancer Progress Report.