While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...

The following is a summary of “Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and ...

By Tarun Sai Lomte COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological ...

A recent study finds that a machine learning model can make accurate survival predictions for Merkel cell carcinoma.

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a ...

The existing prediction models for severe complications of preeclampsia are most accurate only in the two days after hospital ...

For more, see the 2025 edition of the machine learning conference I chair ... how well it predicts—and how valuable those predictions will be—and 3) how the predictions are acted upon to ...

This groundbreaking initiative has resulted in the development of the first datasets of digital brain tumour biopsies, which provide crucial training data for machine learning AI models, enabling them ...