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 ...
AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...
To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...
While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...
The measurements of about 3,000 plasma proteins were integrated with clinical information to construct sparse prediction models for 218 rare and common diseases. These diseases were associated ...
This study highlights the potential of saliva-based metabolomics and AI in prenatal diagnostics, improving detection rates ...