Science Daily

Online brain training reverses 10 years of aging in memory and learning

A new McGill-led study reveals that digital brain exercises can rejuvenate aging brain systems responsible for learning and memory. Older adults using BrainHQ for 10 weeks showed restored cholinergic ...
Journal of Medical Internet Research

Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data

We developed a deep learning model incorporating contrastive pretraining with triplet margin loss to stabilise user-specific behavioural patterns, followed by supervised fine-tuning for binary ...
IEEE

TA-TransUNet: An Improved Deep Learning Network Model for Water Body Extraction From Remote Sensing Images

Abstract: Water body extraction, a critical task in environmental monitoring and resource management, has gained extensive research and application in recent years through the use of remote sensing ...
Journal of Medical Internet Research

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...
IEEE

Explainable and Trust-Aware AI-Driven Network Slicing Framework for 6G IoT Using Deep Learning

Abstract: The advent of sixth-generation (6G) networks promises ultra-high bandwidth, reliable connectivity, and ultra-low latency, enabling large-scale IoT deployment. Network slicing is central to ...