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

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

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.

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 ...

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

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 ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Rising Researcher Honored with 2025 Dr. C. V. Raman Excellence in Education Award for Pioneering AI and Cybersecurity ...