A novel ML algorithm (named ‘AutMedAI’) capable of early autism spectrum disorder (ASD) detection with minimal background and medical information.

Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given ...

After training a machine learning model on the patients’ functional brain images and clinical assessments, the researchers found that the model was able to predict an individual’s PTSD symptom ...

Machine learning model helps identify patients at risk of postpartum depression Date: May 19, 2025 Source: Mass General Brigham Summary: Postpartum depression (PPD) affects up to 15 percent of ...

The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools).

The biggest challenge, if you abstract away everything, is that machine learning is bad at “out-of-distribution” prediction. That means that if you have a new data point that’s unlike anything you’ve ...

Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility ...

Can readily available laboratory data train and test the performance of a machine learning (ML)–based risk models for abnormal lymphocytosis associated with chronic lymphocytic leukemia (CLL)?