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

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

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

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

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

The author investigates how probabilistic classification can be used to enhance credit-scoring accuracy, offering a robust means for assessing model performance ...

The modern enterprise landscape demands sophisticated data solutions that seamlessly blend engineering excellence with ...

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 ...

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

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.

The team analyzed DNA from about 100 trees per species, searching for genetic clues about the history and future of each species.

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