Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Abstract: Cognitive radio has emerged as a viable solution to address the challenge of spectrum scarcity in modern wireless communication systems. Spectrum sensing, a crucial component of cognitive ...

Abstract: Datasets are critical to advancing machine learning and its application in real-world scenarios. However, datasets collected from real-world systems often have missing data. Despite the ...

Psoriasis and metabolic dysfunction–associated fatty liver disease (MAFLD) share pathological features such as chronic inflammation, immune dysregulation, and metabolic disturbance. Increasing ...

Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...