Deep learning analysis of FDG PET-CT improves survival prediction in non-metastatic breast cancer, outperforming standard staging and single modality models while supporting interpretable and ...
Hosted on MSN
Using deep learning for precision cancer therapy
Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, it is becoming increasingly difficult to keep track and to select the ...
In the article that accompanies this editorial, Bergstrom et al 7 present DeepHRD, a deep learning (DL) algorithm that predicts homologous recombination deficiency and clinical outcomes directly from ...
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 ...
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 ...
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 ...
Max Delbrück Center for Molecular Medicine in the Helmholtz Association Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results