The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

Learn how to compare ML models using bootstrap resampling with a hands-on sklearn implementation. 'Come-to-Jesus meeting’: Military community reacts to Hegseth's get fit, get in line or get out speech ...

insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to develop advanced machine learning models that can ...

After receiving his degree in Journalism & Media Communications from CSU in 2019, Erik began building his career in online media, and found his dream job when he joined Game Rant as a staff writer.

Objective: This study aims to develop and validate a machine learning model that integrates dietary antioxidants to predict cardiovascular disease (CVD) risk in diabetic patients. By analyzing the ...

Background: Machine learning (ML) algorithms offer some advantages over traditional scoring systems to assess the influence of cardiovascular risk factors (CVRFs) on the risk of major cardiovascular ...

Welcome to the FAIR Chemistry repository! This library offers a collection of machine learning methods tailored for the field of chemistry. Our goal is to enhance research and development in chemistry ...

Abstract: This study, aimed at professionals in research and development in the fields of computer vision, artificial intelligence, and intelligent transportation, presents a systematic literature ...