National Cancer Institute 1R15CA297754-01A1

Explainable Analogical Learning for Oncology Diagnosis and Prediction based on Deep Pathophysiology

Award for developing explainable analogical machine learning models to improve cancer diagnosis and prediction, enhancing clinical decision support systems' interpretability and safety.

Description

The project focuses on developing explainable, analogical machine learning models for cancer diagnosis and survival prediction based on deep pathophysiology. The project aims to improve interpretability, safety, and trustworthiness of clinical decision support systems. The award is part of NIH's efforts to advance biomedical informatics and personalized medicine.

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