Wastewater Digest

Operators are building trust in machine learning recommendations at wastewater plants

Implementing machine learning tools in wastewater treatment plants offers measurable benefits such as chemical cost ...

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 ...
Hosted on MSN

Master predictive modeling for smarter business moves

Predictive modeling is reshaping how businesses anticipate challenges, seize opportunities, and optimize processes. By leveraging machine learning, ensemble methods, and advanced analytics, ...
ascopubs.org

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study

Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal ...
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 ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
The Silicon Review

Will machine learning transform the dairy industry? Understanding how AI and data are shaping the next generation of dairy decision-making

Explore how machine learning is transforming the dairy industry, using AI and data-driven insights to improve efficiency, ...
Frontiers

Predictive Computational Models in Anesthesia and Coma

The transition between wakefulness and states of reduced consciousness, whether pharmacologically induced via anesthesia or pathologically necessitated by ...
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Regulators Are Forcing Banks to Rethink Machine Learning in 2026

The financial industry's embrace of machine learning has reached a tipping point in 2026, moving from experimental adoption to a core operational necessity fraught with regulatory peril. Recent joint ...