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Machine learning helps predict immunotherapy response in lymphoma patients

Researchers with City of Hope and Memorial Sloan Kettering (MSK) Cancer Center have created a tool that uses machine learning to assess a non-Hodgkin lymphoma (NHL) patient's likely response to ...
ascopubs.org

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
European Medical Journal

Tertiary Lymphoid Structures Correlate with Immunotherapy Response in MCC

How do tertiary lymphoid structures influence immunotherapy outcomes in Merkel cell carcinoma? Spatial proteomics reveals key ...
Los Angeles Times

Researchers Develop Test Utilizing Machine Learning to Aid Predicting Immunotherapy Response in Lymphoma Patients

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 ...
EurekAlert!

Beyond vegetation indices: A phenomic prediction strategy sharpens genetic signals from drone-based crop imaging

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...