Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...

The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. TL;DR: Babbel helps you learn languages for ...

Art made with AI is selling for over $1 million and being embraced by some of the world's most prestigious museums, but critics question if it really belongs in those spaces.The art world is divided.

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...