Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
The American Journal of Managed Care

Machine Learning Model Improves Prediction of Heart Failure Risk in CKD

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Resuscitation Science, Training And Technology Leaders Launch New Self-Guided Resuscitation Learning Model Nationwide

The American Heart Association and Laerdal Medical further commitment to provide equitable, increased access to high-quality ...
Morning Overview on MSN

AI model flags multiple dementias from a single blood sample

Researchers have built a machine-learning model that can distinguish between Alzheimer’s disease, dementia with Lewy bodies, ...

Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Machine learning could help predict how people with depression respond to treatment

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people ...
Morning Overview on MSNOpinion

Study proposes new model for how Pavlovian learning works

A peer-reviewed article in Neurobiology of Learning and Memory is challenging a foundational assumption about how animals and ...
Clinical Pain Advisor

Machine Learning Model May Predict Pain-Related QOL After Endometriosis Surgery

Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
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, ...

We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out of place with our traditional row homes that have been here for a hundred ...