IEEE

Feature Extraction for Machine Learning-based Sleep Stage Classification Using PPG-Derived Parameters and Skin Temperature

Abstract: This study explores feature extraction and machine learning methods for automated sleep stage classification using physiological signals, focusing on PPG-derived parameters and skin ...
Frontiers

Machine Learning, AI, and Robotics in Musculoskeletal Rehabilitation

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...
Opinion

AI Is Changing How Private Equity Firms Manage Investments — and Which Businesses are Funded. Here’s How.

Firms integrating AI and machine learning into their investment processes are building compounding advantages that late adopters may never overcome.
IEEE

A Comparison of Deep Learning and Machine Learning Methods for Water Quality Prediction

Abstract: Predicting water quality is essential to preserving human health and environmental sustain ability. Traditional water quality assessment methods often face scalability and real-time ...
Clinical Trials Arena

The importance of real-world evidence in transforming healthcare decision-making

Real-world evidence (RWE) empowers payers and providers to make more informed, cost-effective treatment. Read more here: ...
AZoOptics

Deep Learning in Optical Microscopy: Advancements and Applications

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.