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A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...
Flexynesis uses deep learning to evaluate multi-omics data as well as specially processed texts and images, including CT or ...
With a growing demand for precision medicine, health systems are increasingly turning to digital innovation to enhance patient care. To explore this shift, Becker’s Healthcare spoke with Christopher ...
Novel Immune Markers and Predictive Models for Diagnosis, Immunotherapy and Prognosis in Lung Cancer
Lung cancer is a significant global health challenge, continuing to be the leading cause of cancer-related mortality worldwide. It contributes to ...
Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.
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