A new study combining multiomics approaches with machine learning has identified plasma protein changes that may allow for ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with ...

A new deep-learning model, AngleNet, significantly improves the retrieval accuracy of atmospheric relative humidity (RH) ...

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

A machine learning–based tool accurately predicted risk for recurrent inflammatory activity after DMT discontinuation in MS, highlighting its potential to guide personalized treatment decisions.

GlobalData's AI tool 'Likelihood of Approval (LoA)' model, powered by artificial intelligence (AI), accurately predicts pharmaceutical drug approvals with an 85% success rate. Learn how this tool ...

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain ...

Abstract: Depression, a prevalent yet often overlooked mood disorder, poses significant challenges in pediatric mental health due to subtle and variable symptom presentations across developmental ...

Researchers have identified multiple causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD), ...

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain unclear. In this study, we ...

A study in the International Journal of Critical Infrastructures discusses a financial early warning system based on an ...