VivoSim Platform Predicts Gastrointestinal Toxicity (Diarrhea) in an AI Model Trained on Human Intestinal Model Results – Without Animal Testing

VivoSim’s NAMkind™ Intestinal Model combined with AI prediction tools yields high-accuracy resultsSAN DIEGO, April 28, 2026 ...
ascopubs.org

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
The American Journal of Managed Care

Machine Learning–Based Tools Predict MS Progression

A new study published in the Journal of Neurology1 detailed the development of 2 machine learning–based tools that were able ...
European Medical Journal

Machine Learning Predicts Childhood Asthma Risk from Eczema

Discover how machine learning asthma prediction can identify high-risk children early and support personalised care ...

Machine learning predicts asthma risk in children with early-life atopic dermatitis

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in ...
Medscape

Can a Machine Learning Model Predict Liver Cancer?

A machine learning model can accurately predict an individual’s risk of developing hepatocellular carcinoma (HCC) using routine clinical data, according to a new study. The findings point to a ...
Science Daily

Novel machine learning model can predict material failure before it happens

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...
ascopubs.org

Machine Learning Models of Early Longitudinal Toxicity Trajectories Predict Cetuximab Concentration and Metastatic Colorectal Cancer Survival in the Canadian Cancer Trials ...

PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...
EurekAlert!

Mount Sinai researchers develop machine learning model to predict how CPAP affects cardiovascular disease risk in patients with obstructive sleep apnea

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...