AI model reads brain MRIs in seconds, hitting up to 97.5% accuracy

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...
Frontiers

A Hybrid Metaheuristic Algorithm with Machine Learning for Detecting Denial-of-Service Attacks in Wireless Sensor Networks

The final, formatted version of the article will be published soon. Abstract. Denial-of-service (DoS) attacks pose a major threat to various kinds of computer networks. There are several kinds of ...

Fundamental Announces $255M in Funding and Publicly Launches its Most Powerful Large Tabular Model (LTM)

Fundamental raises $255M and launches NEXUS, its most powerful Large Tabular Model, turning enterprise tables into predictive intelligence at scale.
AZoRobotics

AI in Vaccine Development: How Machine Learning is Speeding Up Discovery

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

AI in healthcare is entering a new era of accountability

At a time when much of healthcare AI focused on prediction and automation, Pieces concentrated on something harder to ...
eLife

Cryo-EM structure revealed a novel F-actin binding motif in a Legionella pneumophila lysine fatty acyltransferase

A novel F-actin-binding motif consisting of an α-helix hairpin from a Legionella pneumophila lysine fatty acyltransferase has the potential to be developed as an F-actin probe.
IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
CU Boulder News & Events

Machine Learning Updates - MS-CS, MS-AI on Coursera

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...
Frontiers

A machine learning algorithm to predict treatment effectiveness for Kawasaki disease in China: a retrospective model development and validation study

1 Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China 2 Department of Pediatric Cardiology, Guangzhou Women and Children’s Medical Center, Guangzhou ...
EurekAlert!

Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
Medscape

Machine Learning Algorithm Predicts Gout Flares Using RNA

Researchers analyzed clinical data and RNA expression from the peripheral blood of 174 patients with gout and hyperuricemia that had been collected at week 48 of their participation in the STOP Gout ...