BACKGROUND: Pharmaceutical research and industrial operations generate vast volumes of sensitive data across drug discovery, formulation development, manufacturing, and distribution, necessitating secure, transparent, and reliable digital infrastruct... read more
PURPOSE: Artificial intelligence (AI) in medical education is rapidly evolving. The nascent literature about the use of AI in clerkships is sparse. In this national study, we explore how internal medicine (IM) clerkship directors (CDs) conceptualize ... read more
This paper presents a unified probabilistic framework for construction cost forecasting, NGBoost-ETR (Natural Gradient Boosting with Extra Trees base learners) that delivers predictive accuracy, calibrated uncertainty, and SHAP-based interpretability... read more
Accurate early detection of clinically significant prostate cancer is crucial for improving patient outcomes. However, traditional diagnostic methods such as Digital Rectal Exam and Prostate-Specific Antigen (PSA) tests often lack the sensitivity and... read more
As urban waste issues become increasingly severe, traditional waste classification methods can no longer meet the demands for efficiency and accuracy. Deep learning technology has gradually become a key solution to this problem, yet improving classif... read more
The growing global demand for food production, coupled with the increasing threat of plant diseases, necessitates advanced and automated solutions for crop health monitoring. Among various crops, pome fruits such as apples and pears are widely cultiv... read more
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