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 ...

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, ...

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 Ammonia (NH3) is a gaseous pollutant with significant environmental and health implications. Over recent decades, its increasing ...

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

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

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

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