This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

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 ...

Abstract: The future of agriculture depends on our ability to make informed, data-driven decisions about land use and crop management. This paper presents a comprehensive, humancentered approach to ...

A machine learning web application that predicts resale flat prices in Singapore using historical HDB data. Built with Scikit-learn and Streamlit, the app helps buyers and sellers estimate market ...

Predictive models were built with records from 4758 patients and validated with 6977 patients after evaluation in the emergency department. Variables recorded were age, sex, place of birth, clinical ...

Gry Carl Terrell from the Danish Meat Research Institute introduces a valuable tool to maximise shelf life and ensure food safety A predictive model is a mathematical framework or algorithm that ...