The main objective of this study is to evaluate the nitrate contamination in the groundwater of the Suruliyar River basin using modern technologies such as machine learning (ML) and Monte Carlo Simulation (MCS) for a cost-effective and time-efficient... read more
Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Feb 4, 2026
Artificial intelligence (AI) is increasingly being used in oncology to support early diagnosis and develop personalized treatment plans. However, its successful use in cancer care depends not only on the technology itself, but also on whether people ... read more
Weaning is a critical stage in swine production, characterized by intestinal alterations that affect piglet health and performance. In this study, machine learning techniques were applied to identify joint patterns between gut health and productivity... read more
Breast cancer is the most common non-skin cancer and the second leading cause of cancer death in U.S. women. Early detection and timely intervention are thus critical in reducing breast cancer-related deaths. Existing literature for the design of per... read more
Environmental science and pollution research international
Feb 4, 2026
At the European Union level, approximately 60-70% of soil is in unhealthy or degraded conditions. One of the soil threats is the legacy of industrial pollution, as historic industrial pollutants discharged into the ground continue to pose risks to bo... read more
The international journal of cardiovascular imaging
Feb 4, 2026
Fractional flow reserve (FFR) is an essential tool for evaluating coronary artery disease and directing percutaneous coronary intervention (PCI). The instantaneous wave-free ratio (iFR) has been validated as a non-hyperemic alternative with less proc... read more
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