Artificial Intelligence Medical Compendium

Background: Patients with ER-positive/HER2-negative early breast cancer of low or intermediate grade are generally considered to have a favourable prognosis, yet a number will recur. This risk is poorly captured by standard clinicopathological factor... read more 

Clinicians routinely make decisions for patients whose comorbidities, prior therapies, laboratory abnormalities, or demographic characteristics are not reflected in the supporting evidence, even though these factors can influence treatment selection.... read more 

Background: Older adults living with mild cognitive impairment (MCI) or Alzheimer's disease and related dementias (AD/ADRD) and their care partners face substantial daily challenges that evolve with disease progression and extend far beyond the clini... read more 

BackgroundA primary constraint on the capacity of EMS programs to meet industry demand is psychomotor instruction and verification--requiring direct observation of each student by a qualified evaluator. Whether AI video analysis can relieve it is unt... read more 

Background: Albuminuria is central to staging and risk prediction in chronic kidney disease (CKD), yet urine albumin to creatinine ratio (UACR) testing is performed far less often than serum creatinine testing. Whether routinely available clinical va... read more 

As benchmarks saturate, traditional validation methods fail to capture the probabilistic representations of genomic foundation models. This study probes self-supervised generalists (NTv3 650M, Evo2 40B, Genos 10B) alongside task-specific specialists ... read more 

Modern recording technologies enable simultaneous measurement of high-dimensional neural activity and rich behavioral variables, creating both an opportunity and a modeling challenge: identifying the shared latent structure that mediates the brain-be... read more 

AI and deep learning have transformed single-cell transcriptomics, empowering unsupervised annotation, trajectory inference, and cross-dataset integration at scale. Here, we propose bulk RNA-seq deconvolution as a novel task for single-cell foundatio... read more 

Ion channels remain notoriously recalcitrant drug targets despite their extensive pathophysiological significance. Acid-sensing ion channels (ASICs) are proton-gated cation channels that cause neuronal death when excessively activated, such as during... read more 

With the increase of recycled water to offset water demand, the potential possibility to spread contagious RNA viruses, such as Coxsackievirus B3, increases. However, detection of viral particles remains challenging because of low viral concentration... read more