Abstract: The course selection process in higher education has grown more complex as the students face the growing volume of academic options that must align with their personal and career goals. The ...

The transition of artificial intelligence from reactive systems to predictive agents signifies a profound shift toward the realization of autonomous machine intelligence. Central to this evolution is ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

New approach methodologies (NAMs) aim to address the limitations of animal models by assessing drug efficacy and safety in a more ethical, human-relevant way. The term ‘NAMs’ encompasses several ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...

Bringing Trustworthy Artificial Intelligence to the Clinical Forefront at JCO: A Guide for Studies Testing Artificial Intelligence Models The following represents disclosure information provided by ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...

Panelists discuss how clinical decision support tools, care pathways, and artificial intelligence can address primary care workforce shortages by providing real-time guidance, predictive modeling for ...