This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

xIt would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient’s condition rapidly deteriorates or shows vitals in highly abnormal ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

As global participation in digital-asset ecosystems expands and blockchain behaviour becomes increasingly complex, platforms ...