Predicting genetic risk for type 1 diabetes just got more accurate thanks to machine learning study

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...
TechAnnouncer

Demystifying Machine Languages: Practical Examples and Core Concepts

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...
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, ...
The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Phys.org

Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...
ascopubs.org

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors.

Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.
EurekAlert!

SwRI harnesses AI to find meaningful matches in solar data

New research led by Southwest Research Institute (SwRI) integrated three types of machine learning models to generate solar magnetic patches with physical properties and used those as a query to find ...