Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Background Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...

This study analyses the spatiotemporal distribution of land use and land cover (LULC) in the United Arab Emirates (UAE) over the past 50 years (1972–2021) using 72 multi-temporal Landsat satellite ...

Objective: To investigate the risk factors associated with cognitive frailty among older adults in nursing homes using logistic regression and decision tree modeling, and to compare the predictive ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...

All species on Earth, both living and extinct, are related. We know this because of a biological tool called the tree of life. This "tree" takes the form of a diagram that maps the relationships ...

Abstract: Everybody wants to be healthy, but sometimes illnesses and disorders prevent this from happening. Most deadly diseases can be treated or their harmful effects can be reduced if detected at ...

Classification is a machine learning model used to predict mutually exclusive categories when there are no continuous values. It does so by using labels to classify data, thus predicting a discrete ...