Latest AI and machine learning research in osteoporosis for healthcare professionals.
Coronary artery calcium (CAC) scoring is a key predictor of cardiovascular risk, but it relies on ECG-gated CT scans, restricting its use to specialized cardiac imaging settings. We introduce an automated framework for CAC detection and lesion-specific Agatston scoring that operates across both gated and non-gated CT scans. At its core is CARD-ViT, a self-supervised Vision Transformer trained excl...
Osteoporosis is a silent yet debilitating disease that often remains undetected until fractures occur. While early prediction is crucial, most studies combine male and female datasets to train a single model, introducing bias since osteoporosis risk and progression differ by gender. This study aims to develop gender-specific machine learning models that leverage longitudinal data to predict osteop...
Heart failure with preserved ejection fraction (HFpEF) is an increasingly common cause of morbidity and mortality in older adults that is driven by ca...
Down syndrome (DS) is the most common genetic cause of intellectual disability, affecting one in 700 live births worldwide, and is caused by trisomy o...
Norepinephrine (NE) is an important mediator of sympathetic activity that influences breathing. At the level of the inspiratory neural network, the pr...
Efficient coding is essential for sensory systems to extract meaningful information from the environment. Here, we investigate how stimulus-driven the...
Calcium dynamics controls learning and memory. Changes in calcium-induced calcium release (CICR), which is caused by opening ryanodine receptors (RyR)...
Body mass index (BMI), type 2 diabetes (T2D) and associated cardiometabolic features modify Alzheimer's disease (AD) risk, yet shared mechanisms remai...
C-type lectins (CTLs) play key roles in innate immunity and microbial carbohydrate recognition. In the disease vector mosquito Aedes aegypti, the CTLD...
Artificial intelligence allows automatic extraction of imaging biomarkers from already-acquired radiologic images. This paradigm of opportunistic imag...
When a mouse perceives a hawk's shadow, it may have only seconds to decide where to run, yet the safest refuge is often neither visible nor nearby. To...
Neural representations rely on the ability of neuronal assemblies to display organized spiking patterns, despite being embedded within noisy networks....
In this paper, we present the first attempt to estimate the necessity of debulking coronary artery calcifications from computed tomography (CT) images...
Sensory neurons modulate organismal physiology and behavior in part by releasing neuropeptides and neurotrophins or growth factors, via the dense core...
Electric field (EF) stimulation is an emerging neuromodulatory strategy for promoting the repair and functional recovery of degenerated neural network...
Local field potentials (LFPs) measured in the extracellular matrix of the brain are postulated to arise from the integration of synaptic ionic current...
Accurate regulation of calcium release is essential for cellular signaling, with the spatial distribution of ryanodine receptors (RyRs) playing a cr...
Enhancing the performance and longevity of cementitious nanocomposites requires a comprehensive understanding of the interfacial interactions between ...
Delineating how animal behavior arises from neural activity is a foundational goal of neuroscience. However, as the computations underlying behavior...
Intracellular calcium (Ca) release via phospholipase C (PLC) following G-protein-coupled receptor (GPCR) activation is typically linked to membrane de...