When AI meets physics: Unlocking complex protein structures to accelerate biomedical breakthroughs

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...
Frontiers

AI-Driven Computational Physiology in Cardiometabolic Syndrome: From Real-World Data to Mechanistic Understanding

Cardiometabolic syndrome arises from intricate interactions among metabolic, cardiovascular, behavioral, and environmental factors. The convergence of ...
IEEE

Enhancing Diagnostic Accuracy in Breast Cancer and Diabetes Prediction Using Probability-Based Correction and Machine Learning

Abstract: In this study, we present a unified framework that approaches the accuracy of breast cancer diagnosis as well as diabetes prediction through the introduction of a novel probability-based ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
GitHub

Metis: AI-Powered Security Code Review

Metis is an open-source, AI-driven tool for deep security code review, created by Arm's Product Security Team. It helps engineers detect subtle vulnerabilities, improve secure coding practices, and ...
IEEE

Performance Analysis of Diabetes Disease Prediction Using Machine Learning Classification Algorithms

Abstract: Diabetes is a medical disorder disease that affects our body's food fuel systems. Eating food is converted to glucose and discharged to different body parts through blood and the pancreas ...
SciELO

Machine learning for high-risk hospitalization prediction in outpatient individuals with diabetes at a tertiary hospital

Objective: To characterize, via a predictive model using real-world data, patients with diabetes with a heightened probability of hospitalization. Methods: At the Endocrinology Unit of a tertiary ...
The Motley Fool

Here's How the Prediction Market Boom Is Connected to the Crypto Sector

Investors can use prediction markets to see the potential range of outcomes for a specific cryptocurrency. Investors can buy prediction market contracts to make directional bets on specific ...
Medscape

ADA 2026 Standards of Care in Diabetes: Use of Devices

Today I'm going to discuss the American Diabetes Association (ADA) 2026 Standards of Care. By way of full disclosure, I was part of the professional practice committee that created these guidelines, ...
The New York Times

This A.I. Tool Is Going Viral. Five Ways People Are Using It.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...
The Verge

Claude Code is suddenly everywhere inside Microsoft

Microsoft sells GitHub Copilot to its customers, but it increasingly favors Claude Code internally. Microsoft sells GitHub Copilot to its customers, but it increasingly favors Claude Code internally.