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Storm surge predictions get a boost from hybrid wind field and machine learning models

A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, has developed a method for predicting storm surges. This innovative ...
EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Yale Environment 360

Machine learning model predicts PTSD symptom severity over time

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
Semiconductor Engineering

Machine Learning-Based IR Drop Prediction Approach

A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...
AZoRobotics

Detecting Alzheimer’s Early: Machine Learning’s Role in Neurological Imaging

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...