Please provide your email address to receive an email when new articles are posted on . A machine learning algorithm grouped patients with chronic kidney disease into three distinct subgroups. Each ...
A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying and stratifying transplant ...
Prostate cancer (PCa) represents a highly heterogeneous disease that requires tools to assess oncologic risk and guide patient management and treatment planning. Current models are based on various ...
A phase I trial of the addition of the CDK 4/6 inhibitor palbociclib to cetuximab in patients with incurable head and neck squamous cell carcinoma (HNSCC). This is an ASCO Meeting Abstract from the ...
Receive the the latest news, research, and presentations from major meetings right to your inbox. TCTMD ® is produced by the Cardiovascular Research Foundation ® (CRF). CRF ® is committed to igniting ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Explainable Machine Learning Model to Predict Overall Survival in Patients Treated With Palliative Radiotherapy for Bone Metastases Prostate cancer (PCa) represents a highly heterogeneous disease that ...
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