Current methods for cancer diagnosis are based on identifying biomarkers—molecules that reveal a particular state or process ...

Two advanced predictive machine learning algorithms developed by researchers in England significantly improved the ability of ...

AI model calculates a protein-based stemness index to predict tumor aggressiveness and treatment resistance. Proteomic-based ...

In a proof-of-concept study, the team used machine learning to analyze blood plasma from more than 2,000 participants and link molecular patterns to lung cancer, extrapolating a potential ...

Journal reference: Orcutt, X., Chen, K., Mamtani, R., et al. (2025). Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations.

With advances in machine learning, researchers are using neural networks to predict cancer risks and guide personalized treatments. By processing immense datasets, AI helps identify factors ...

Recently, a machine learning–based model using step count measured with a wearable fitness tracker was found to predict hospitalization in patients receiving chemoradiation. 21 However, it is unclear ...

Craif, spun off from Nagoya University in Japan in 2018, is using microRNA (miRNA) to develop an AI-powered early cancer detection software, and it has raised $22 million in Series C funding to ...