A total of 590 patients were identified, 432 in the development set and 158 in the validation set. The median age was 51 years, and 55.8% (329 of 590) experienced grade 3 or 4 toxicity. The ...
News-Medical.Net on MSN
Digital twin technology guides personalized treatment for brain cancer patients
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
New research presented during the 2024 San Antonio Breast Cancer Symposium (SABCS) reveals a new machine learning model that could change the way metastatic breast cancer is treated in the future. By ...
Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...
Researchers with City of Hope and MSK have created a tool that uses machine learning to assess a non-Hodgkin lymphoma (NHL) patient’s likely response to chimeric antigen receptor (CAR) T cell therapy ...
Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...
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 ...
Tech Xplore on MSN
Patient privacy in the age of clinical AI: Scientists investigate memorization risk
What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics ...
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