Digital Journal

Precision in the preclinical phase: Mahesh Recharla proposes deep learning models for early MS and Alzheimer’s detection

A leading expert in AI-driven healthcare innovation, Mahesh Recharla has proposed a new approach to identify Multiple Sclerosis (MS) and Alzheimer’s disease (AD) in their earliest, often asymptomatic ...
Frontiers

Advances in Deep Learning–Based Intelligent Sensing for Non-Destructive Monitoring of Crop Nutrition and Quality

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices. Remote sensing and proximal ...
EurekAlert!

BioCompNet: a deep learning workflow enabling automated body composition analysis toward precision management of cardiometabolic disorders

BioCompNet: a dual-channel deep learning framework for automated body composition analysis from fat-water MRI sequences. (A) Schematic of the dual-channel 2-dimensional (2D) U-Net architecture used to ...