Artificial Intelligence Medical Compendium

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

Showing 48,181 to 48,190 of 224,199 articles

Evaluating the impact of artificial intelligence development on urban resilience: Evidence from Chinese cities.

iScience Feb 21, 2026
Urban management faces unprecedented challenges in addressing uncertainty, maintaining ecological balance, and safeguarding social welfare. Despite artificial intelligence (AI) providing opportunities while also posing risks, empirical evidence of it... read more 

Comparative Analysis of Deep Learning Techniques in Alzheimer's Disease Diagnosis: Trends, Challenges, and Future Directions.

MethodsX Feb 21, 2026
Alzheimer's disease is a slow, progressive neurological disorder that impacts the brain tissue and causes cells to die, the most common reason for dementia. It typically reduces brain volume, subsequently impairing several cognitive functions. We exp... read more 

Accelerated sampling of protein dynamics using BioEmu augmented molecular simulation

bioRxiv Feb 21, 2026
We introduce a workflow that integrates BioEmu-generated conformational ensemble with physics-based molecular simulations and Markov State Models to sample Boltzmann-weighted conformational populations across biomolecules. Molecular simulations initi... read more 
biophysics

Development and Characterization of Self-Tracing Neural Progenitor Cells for Mapping Their Synaptic Integration into Endogenous Neural Networks

bioRxiv Feb 21, 2026
Neural progenitor cell (NPC) transplantation holds immense promise for neurodegenerative and traumatic central nervous system (CNS) pathologies. However, it is crucial to define which neural circuits and pathways are targeted with transplanted NPCs u... read more 
neuroscience

Genomic-island cassette architecture drives pathogenic Enterococcus cecorum lineages: Cassette2Vec-EC, a structural genomics and machine-learning framework

bioRxiv Feb 21, 2026
Mobile genetic elements and genomic islands (GIs) frequently encode antibiotic resistance and host-adaptation cargo, yet routine genome comparison pipelines often miss the higher-order organization of how genes co-occur as transferable, GI-anchored m... read more 
bioinformatics

Geometric-aware and interpretable deep learning for single-cell batch correction via explicit disentanglement and optimal transport

bioRxiv Feb 20, 2026
Single-cell RNA sequencing enables high-resolution characterization of cellular heterogeneity, yet integrating datasets from diverse sources remains challenging due to batch effects. Current methods rely on implicit feature disentanglement and and la... read more 
bioinformatics

Spatial multi-omics identify an immunosuppressive lipid-laden macrophage niche in primary CNS lymphoma

bioRxiv Feb 20, 2026
Primary central nervous system lymphoma (PCNSL) is a subtype of diffuse large B-cell lymphoma (DLBCL) with confined CNS growth. We evaluated tumor microenvironment (TME) features associated with its unique tropism. Comparative spatial transcriptomic ... read more 
cancer biology

A New Sparse Bayesian Quantile Neural Network-based Approach and Its Application to Discover Physiological Sweet Spots in the Canadian Longitudinal Study on Aging

bioRxiv Feb 20, 2026
Identifying physiological sweet spots (optimal ranges for homeostasis) is essential for precision medicine. However, traditional statistical methods often rely on globally linear or locally jagged models that struggle to capture the smooth, non-linea... read more 
bioinformatics

A lateral temporal network for transmodal combinatorial semantics: Convergent evidence from a multi-study investigation

bioRxiv Feb 20, 2026
This study integrates three literatures typically examined in isolation: single-concept semantics, combinatorial semantics, and theory of mind (ToM). We argue that these domains share overlapping computational principles and neuroanatomical networks.... read more 
neuroscience

When Experience Leaves a Trace: Consolidation-Dependent Persistence in Artificial Agents

bioRxiv Feb 20, 2026
Across minimal neural networks and small transformer models, we demonstrate that experience ordering alone can produce durable, irreversible behavioral divergence in artificial agents - but only when learning is consolidated into internal parameters ... read more 
neuroscience
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