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Artificial intelligence (AI) is rapidly transforming the way we work. While AI is impacting many traditional jobs, it is also ...
Psychology Today

AI Foundation Model Predicts Diseases From Brain Scans

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
National Academies

Gulf Research Program Awards over $7 Million to Advance Scientific Understanding of Sea-Level Variation and Rise in the Gulf Region

The Gulf Research Program (GRP) of the National Academies of Sciences, Engineering, and Medicine today announced an award of more than $7.3 million to support four interdisciplinary research projects ...
TMCnet

QT Imaging Announces Collaboration with Olea Medical to Advance Visualization and Quantitative Analytics for Its Cloud Imaging Platform

This collaboration enhances QT Imaging's Cloud SaaS Platform by integrating Olea Medical's advanced visualization, quantitative analytics and AI-ready imaging technologies to support clinical ...
Brandeis University

Brandeis Graduate Students Dig Into Spring Semester Research

Office of Graduate Affairs. While Brandeis University’s graduate students may be newly organized into four schools – the School of Arts, Hum ...
ahajournals.org

Abstract 4365640: Machine Learning–Based Prediction of Right Heart Failure After LVAD Implantation with Visualization of Individual Risk Factors

Introduction: Right ventricular failure (RVF) is a major adverse event following left ventricular assist device (LVAD) implantation. The complex mechanisms involved make it challenging to accurately ...
Frontiers

Development of a prognostic prediction model and visualization system for autologous costal cartilage rhinoplasty: an automated machine learning approach

Objective: To develop an automated machine learning (AutoML)-based prognostic prediction model and visualization system for autologous costal cartilage rhinoplasty (ACCR), addressing the clinical ...