Latest AI and machine learning research in exercise & fitness for healthcare professionals.
When learning to find the most beneficial course of action, the prefrontal cortex guides decisions by comparing estimates of the relative value of the options available. Basic neuroscience studies in animals support the view that the thalamus can regulate the activity within and across the prefrontal cortex. However, it is unknown if it can modify value-based decision making in humans. Understandi...
We present MeFEm, a vision model based on a modified Joint Embedding Predictive Architecture (JEPA) for biometric and medical analysis from facial images. Key modifications include an axial stripe masking strategy to focus learning on semantically relevant regions, a circular loss weighting scheme, and the probabilistic reassignment of the CLS token for high quality linear probing. Trained on a co...
Body mass index (BMI), type 2 diabetes (T2D) and associated cardiometabolic features modify Alzheimer's disease (AD) risk, yet shared mechanisms remai...
Machine learning models trained on measurements of protein functional properties are widely used to accelerate laboratory-based protein design campaig...
Brain machine interfaces (BMIs) aim to decode motor intentions from neural activity to enable direct control of external devices. However, most existi...
Background: Conventional evaluations of digital health interventions typically assess mean treatment effects, potentially masking heterogeneous impact...
Background: Artificial intelligence applications for preventive stress monitoring remain limited by dependence on expensive continuous biosensors. We ...
The human face is a rich medium for biometric, behavioral, and clinical information. However, 2D facial images based technologies lack critical geomet...
Background- Eating timing and regularity represent new contributors to metabolic health, however, the time-based aspect of eating behavior is rarely i...
The engineering of enzymes with novel functions is a cornerstone of synthetic biology but remains bottlenecked by the fragmentation between computatio...
Determining physiological stress at high resolution is crucial across diverse settings to enable informed decision-making in the context of health and...
Background: Heart failure with preserved ejection fraction (HFpEF) remains a major therapeutic challenge due to its complex pathophysiology and pronou...
Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molecular mechanisms through which exercise influences ...
The ventral tegmental area is the primary source of dopaminergic input to the human prefrontal cortex and plays a central role in reinforcement learni...
Spatial visual perception is a fundamental requirement in physical-world applications like autonomous driving and robotic manipulation, driven by the ...
Low back pain (LBP) is a pervasive global health challenge, affecting approximately 80% of adults and frequently progressing into chronic or recurrent...
Background Patients with repaired tetralogy of Fallot (rTOF) require lifelong surveillance with cardiovascular magnetic resonance (CMR) and cardiopulm...
Oxygen is a primary driver of the distribution and activity of microbial life. Since oxygen levels are often difficult to measure in situ, one potenti...
B-cell maturation antigen (BCMA) shedding by {gamma}-secretase generates soluble BCMA (sBCMA) , which diminishes membrane antigen density, and limits ...
BackgroundThe pancreas is essential for metabolic homeostasis. Alterations in morphology and parenchymal integrity may impact proper function but are ...