Still, science is always ... have just published data on a novel machine-learning framework they developed that distinguishes between low- and high-risk prostate cancer with more precision than ...

Diagram representing the prediction ... on the data collection process and input data inconsistencies. In conclusion, we use tabular and graph machine learning for objective and reproducible ...

Researchers from the Pohang University of Science ... of anti-cancer drug response predictions by using data closest to a human being’s response. The team developed this machine learning ...

Development of a precision medicine technology based on artificial intelligence that predicts immunotherapy response in cancer ... by using network-based machine learning. The research team ...

Selection of appropriate adjuvant therapy to ultimately reduce the risk of breast cancer (BC) recurrence is a challenge for medical oncologists. Several automated risk prediction models have been ...