RTID system reduces unnecessary temporary diverting ileostomy use in rectal cancer surgery without increasing anastomotic ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...

A machine learning study of 4,776 women found AI can predict physical, emotional, and social outcomes after breast cancer ...

Cervical cancer (CC) is the fourth most common cancer among women globally. The key to preventing and treating CC is early detection, diagnosis, and treatment. This study aimed to develop an ...

Among the many challenges faced by healthcare systems, cancer remains one of the most urgent. This makes the application of artificial intelligence a critical tool for enhancing early detection and ...

Machine learning and artificial intelligence (AI) techniques and analysis of large datasets have helped University of Birmingham researchers to discover proteins that have strong predictive potential ...

BETHESDA, VA, UNITED STATES, June 12, 2026 /EINPresswire.com/ -- Integrating Bioinformatics, Machine Learning, and ...

Colonoscopy quality indicators for colorectal cancer precursors: Sessile serrated lesion and adenoma detection rates from a large clinical study of a blood-based test for CRC screening. This is an ...

TrialTranslator uncovers the survival gap for high-risk patients and offers a path to better cancer research. Study: Evaluating generalizability of oncology trial results to real-world patients using ...

The AI in cancer diagnostics market presents significant opportunities driven by advancements in AI and machine learning ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...