Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Working from home is great. Working from home and earning around $50 an hour is the dream, especially when you’re staring at ...

Abstract: Emerging Internet of Things (IoT) technologies, combined with sensors and data analytics, enable intelligent management of buildings, significantly improving energy efficiency and optimizing ...

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 ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

High-paying remote finance director jobs often involve managing accounting and financial control functions, establishing financial strategy, overseeing the finance department, conducting assessments ...

The HiDimStat package provides statistical inference methods to solve the problem of variable importance evaluation in the context of predictive model using high-dimensional and spatially structured ...

Abstract: Domain adaptation has found widespread applications in real-life scenarios, especially when the target domain has limited labeled samples. However, most of the domain adaptation models only ...