Abstract: In today’s fast-paced world, timely health insights are crucial for early detection and prevention. This project introduces a machine-learning-based system that helps users analyse symptoms, ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Abstract: The increasing prevalence of health risks among pregnant women, requires early and accurate detection systems to improve maternal and fetal outcomes. This study proposes a machine ...

Illustrating physics problems with Web VPython in Python. Learn how to build clear 3D visualizations for motion and forces, and bring physics concepts to life with interactive animations and simple ...

Public Health Tracker Agent — minimal FastAPI service that analyzes a synthetic public health timeseries (public_health_timeseries.csv) and returns simple trend labels and metadata.

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 #NesterovGradient ...

OpenAI continues its push into healthcare with the launch of ChatGPT Health, a new feature that connects its artificial intelligence chatbot with users' medical records and wellness apps for more ...

Health system and hospital executives see the promise of automation and artificial intelligence to customize patient outreach and help address persistent engagement challenges. AI-powered ...

If you’re a Pilates princess, you already know why a reformer is the answer to a low-impact, strength-boosting workout. However, if you’re a newbie, allow us to school you: It’s a machine that ...