This study reveals how machine learning models uncover new genetic variants linked to Alzheimer’s, advancing predictive ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

The uncertainty in maritime transportation dramatically impacts liner shipping efficiency; to improve operational stability, timely recovery of vessel schedule in liner shipping service is essential ...

A suite of machine learning algorithms and SHAP (SHapley Additive exPlanations) interpretation techniques were employed to improve model transparency and predictive accuracy.