PsyPost on MSN

Machine learning uncovers how childhood trauma amplifies genetic risks for depression

Depression is a highly common mental health condition that affects millions of people worldwide. Medical professionals have ...
HUB

Novel machine learning method can improve genetic risk assessments for non-white populations

For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...
The Stanford Daily

Research Roundup: Brain degeneration, machine learning for identifying diseases and AI-generated genetic code

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...
News Medical

Interpretable machine learning model advances analysis of complex genetic traits

Predicting observable traits from genetic variation remains difficult due to the complex interplay of multiple genes and environmental influences. Widely used statistical approaches are limited in ...
pv magazine International

PV energy forecasting based on genetic algorithms, dynamic neural network

Researchers from Spain’s Valencia Polytechnic University have developed a novel method for forecasting the power generation of PV systems. Its novelty lies in developing a hyperparameter optimization ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...