Medical Device and Diagnostic Industry (MD+DI)

AI-Powered Atrial Fibrillation Detection: How Machine Learning Is Transforming Cardiac Care Through ECG Analysis

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

AI for molecular simulations may not need built-in physics to deliver strong results

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
Medical Xpress

Boosting Machine Learning Algorithms

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly influencing a child's development and long-term outcomes, yet most ...
Scientific Research Publishing

Yoon, J. (2020) Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach. Computational Economics, 57, 247-265.

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...
ahajournals.org

Abstract 4371610: Boosting Prediction: Machine Learning Models Outperform Traditional Risk Scores for Primary Cardiovascular Prevention

Background: Standard CVD risk calculators assume linear relationships among risk factors. ML methods (gradient boosting, random forests, neural networks, support vector machines) capture nonlinear ...
Fierce Healthcare

HLTH25: OpenEvidence scores $200M, 3 months after series B, boosting valuation to $6B

LAS VEGAS, Nev.—Artificial intelligence startup OpenEvidence banked $200 million in series C funding, just three months after it raised $210 million in a series B. The three-year-old company's ...
thedeepdive

Heliostar Updates Economic Model For La Colorada, Boosting NPV To US$243 Million At $3,500 Gold

Heliostar Metals (TSXV: HSTR) this morning released an updated economic assessment on their La Colorada Mine, highlighted by a base case net present value of US$66.2 million and an IRR of 24.4% at ...
IEEE

Machine Learning-Based Solar Panel System Failure Detection Using Random Forest, Gradient Boosting, and AdaBoost

Abstract: This research applies a combination of machine learning methods - Random Forest, Gradient Boosting, and AdaBoost - to detect solar panel system failures using historical data. The ensemble ...
Frontiers

Evaluating machine learning models for stroke prediction based on clinical variables

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 the Framingham ...