US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, testing and improving AI models. NEW YORK, NY / ACCESS Newswire / May 21, 2026 / US-DATA, a ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

aDepartment of Radiodiagnosis, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India bDepartment of Clinical Hematology and Medical Oncology, Postgraduate Institute of ...

The ADORE dataset serves as a benchmark to explore the potential and limitations of machine learning in ecotoxicology. It focuses on acute mortality in fish, crustaceans, and algae. It has been ...

Abstract: Skin cancer is well known medical issue and early detection dramatically improves the outcome of treatment. Traditional diagnosis depends on dermatologists ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

The Satellite Precipitation Retrieval (SatRain) benchmark dataset developed by the International Precipitation Working Group (IPWG) is a benchmark dataset for machine-learning-based satellite ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...