Frontiers

Machine learning-based prediction model for teicoplanin plasma concentrations in adults with liver disease using real-world data

Objective: To construct a prediction model for teicoplanin (TEIC) plasma concentrations through machine learning and deep learning techniques in patients with liver disease using real-world clinical ...
Frontiers

Evaluating machine learning models for stroke prediction based on clinical variables

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...
CBSSports.com

Bears vs. Vikings NFL props, best SportsLine Machine Learning Model AI predictions: Williams under 214.5 yards

NFL Week 1 concludes with a Monday Night Football matchup at 8:15 p.m. ET between the Chicago Bears and Minnesota Vikings (-1, 43.5). Quarterback J.J. McCarthy will make his regular season debut after ...
CBSSports.com

Cowboys vs. Eagles props, odds, SportsLine Machine Learning Model AI predictions, NFL Kickoff Game SGP picks

The 2025 NFL season kicks off tonight with a key NFC East matchup between the Dallas Cowboys and the defending Super Bowl champion Philadelphia Eagles (-8, 47.5). Since 2010, Dallas and Philadelphia ...
C&EN

A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...
C&EN

Integrating Physical Principles with Machine Learning for Predicting Field-Enhanced Catalysis

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Field–dipole interactions can tune the energetics of polarized species over catalyst ...
IEEE

An Automated Profession Prediction Application using the Horoscope with Deep Learning-Based Strategies

Abstract: Astrology is a time-honored and conventional kind of divination that continues to capture people's curiosity. There are no widely accepted rules or astrological prediction principles in the ...
IEEE

Machine Learning and Ensemble Learning for Transcriptome Data: Principles and Advances

Abstract: Nowadays, as the next-generation RNA-seq sequencing technology and machine learning algorithms continue to advance, an increasing number of machine learning methods are being used in plant ...