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 ...
EurekAlert!

Deep learning model achieves global high-precision prediction of nuclear charge density, covering a wide range of nuclei

To validate the DNN predictions, we derived charge radii from its Fourier-Bessel (FB) coefficients and compared them with experimental values. Across 1,014 nuclei, the DNN results show significantly ...
ascopubs.org

Enhancing precision oncology for Haitian breast cancer patients through deep learning-enabled computational pathology tools.

Elacestrant combinations in patients (pts) with ER+/HER2- locally advanced or metastatic breast cancer (mBC): Safety update from ELEVATE, a phase (Ph) 1b/2, open-label, umbrella study. This is an ASCO ...
GEN

Deep Learning Integrates Multi-Omics for Precision Oncology Decision Making

Nearly 50 new cancer therapies are approved every year. While this positive trend is a huge benefit for patients, Altuna Akalin, PhD, head of the bioinformatics and omics data science technology ...
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 ...
Business Wire

GE HealthCare Expands Its Effortless Recon DL Portfolio, Bringing Advanced Deep Learning Image Reconstruction to Clinicians Worldwide

CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC) unveiled three new advanced deep learning image processing and reconstruction solutions as a part of its Effortless Recon DL portfolio at the ...