Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 17,441 to 17,450 of 213,726 articles

Electrodiffusion analysis of concentration and voltage changes in thin cylindrical domains using cross-diffusion modelling

bioRxiv
A major challenge in neuroscience is to predict how currents in nanodomains affect voltage and ionic concentrations. Cable and Rall theory provide analytic current-voltage relations by neglecting concentration gradients, and the impact of concentrati... read more 

Metabolic Self-Organization: Emergence of Autonomous Agency in a Metabolically Constrained LLMs

bioRxiv
Biological organisms are driven by thermodynamic self-preservation, whereas large language models operate as dissipative tools decoupled from existential constraints. We introduce a metabolic model translating this imperative of life into a computati... read more 

Design of DNA Aptamers for Lyme disease Diagnosis Combining experimental and numerical approaches

bioRxiv
Aptamers are single stranded DNA or RNA molecules selected for their high affinity and specificity to bind target molecules, similar to antibodies. They are commonly selected through the SELEX process, which involves the iterative exposure of a rando... read more 

CN-RNN: a Deep Learning Framework for Copy Number Variation Detection with Exome Sequencing Data

bioRxiv
Copy number variations (CNVs) are major structural genomic variants that contribute to a wide range of human diseases. Accurate detection of CNVs from whole-exome sequencing (WES) data has been a long-sought goal for clinical and population genetic s... read more 

Deciphering conformational preferences of RNA in protein-RNA recognition

bioRxiv
Conformational plasticity of RNAs plays important roles in recognizing RNA-binding proteins, and is often modulated by their binding partners. Here, we investigate RNA conformational preferences in a non-redundant dataset of 263 protein-RNA complexes... read more 

Word meaning, not surface statistics, is essential for predictive language processing

bioRxiv
Humans comprehend language incrementally, updating the representation of sentence meaning with each incoming word. These updates are guided by the distance between each perceived word and prior expectations--the prediction error. The alignment betwee... read more 

Advancing diagnosis of bipolar disorder using brain morphometric similarity networks in a graph AI framework

medRxiv
Brain similarity networks (BSNs), extracted from structural magnetic resonance imaging, provide a validated framework for studying brain network organization and encode neurodevelopmental information relevant for psychiatric disorders. Recently, a ne... read more 

Deep Learning for Automated Meningioma Segmentation: Toward Clinical Integration and Workflow Efficiency

medRxiv
Background: Meningiomas are the most common primary intracranial tumors in adults, and volumetric assessment increasingly guides surveillance and treatment decisions. Automated segmentation could enable standardized volumetry but requires robust vali... read more 

Rheumatic Heart Disease Detection in Asymptomatic Schoolchildren using ECG and PCG

medRxiv
Rheumatic heart disease (RHD) remains a major public health concern across low- and middle-income countries in the Global South. Early detection through community-based screening of asymptomatic individuals has been identified as a critical strategy ... read more 

Simulating population compliance with pandemic interventions using large language models

medRxiv
Effective pandemic response requires accurate modeling of population compliance with non-pharmaceutical interventions (NPIs), yet most epidemic models treat behavioral change as fixed scenarios rather than an emergent process. Here, we test whether l... read more