News Medical on MSN19h
AI-driven ECG age prediction transforms early disease detection
AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...
News-Medical.Net on MSN21d
COMET model enhances disease prediction with deep learning
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 ...
Physician's Weekly19h
Development of machine learning prognostic models for overall survival of epithelial ovarian cancer patients: a seer-based study.
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 ...
Devdiscourse6d
Machine Learning and Explainable AI revolutionize diabetes prediction
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 ...
Medical Xpress21d
Graph machine learning model shows potential for predicting cancer genes
proposed a graph machine learning model, namely TREE, based on the Transformer framework. With this novel Transformer-based architecture, TREE not only identifies the most influential omics data ...
Hosted on MSN6mon
Proteomic signatures enhance risk prediction for both common and rare diseases
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 ...
AZoRobotics on MSN17d
Non-Invasive Saliva Test and AI Unlock New Potential for Detecting Critical Congenital Heart Disease in Fetuses
This study highlights the potential of saliva-based metabolomics and AI in prenatal diagnostics, improving detection rates ...