Artificial Intelligence Medical Compendium

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

Showing 40,851 to 40,860 of 223,737 articles

Spatial Agent-Based Modeling and Interpretable Machine Learning Predict Combination Therapy Response in HER2-Heterogeneous Breast Cancer

bioRxiv
HER2 heterogeneity and reversible phenotypic plasticity play a central role in breast cancer progression and therapeutic resistance, yet how their interaction shapes treatment response remains poorly understood. Experimental and clinical evidence ind... read more 

Fine-scale habitat partitioning of sympatric stingrays revealed by drone-based remote sensing and deep learning

bioRxiv
Habitat partitioning supports the coexistence of sympatric species and shapes their ecological roles across coastal seascapes. Understanding how sympatric species move through and use coastal habitats therefore provides fundamental ecological insight... read more 

RNAElectra: An ELECTRA-Style RNA Foundation Model for RNA Regulatory Inference

bioRxiv
RNA regulation governs gene expression through sequence-encoded mechanisms such as RNA structure formation, protein binding, chemical modification, and RNA-RNA targeting, with regulatory rules spanning both nucleotide-scale motifs and longer-range co... read more 

Neural signatures of impaired semantic contextualization in Autism Spectrum Disorder

bioRxiv
Some accounts of the etiology of autism emphasize core impairments in predictive coding, or, more fundamentally, integration of contextual information into perceptual processes. This idea has the potential to link symptoms of autism to specific neuro... read more 

Toward defining loss functions in neuroscience: an XOR-based neuronal mechanism

bioRxiv
One of the most compelling ideas for bridging neuroscience and artificial neural networks is the establishment of a framework based on three main components: network architecture, optimization mechanism, and loss (or objective) function to be minimiz... read more 

Using image classifiers to predict CMT2A disease-relevant mitochondrial motility phenotypes in iPSC motor neurons

bioRxiv
Charcot-Marie-Tooth disease type 2A (CMT2A) is a genetic disease characterized by autosomal dominant MFN2 mutations and dysregulated mitochondrial trafficking. While there is currently no FDA-approved CMT2A therapy, the recent development of iPSC mot... read more 

A widespread electrical brain network encodes anxiety in health and depressive states

bioRxiv
In rodents, anxiety is characterized by heightened vigilance during low-threat and uncertain situations. Though activity in the frontal cortex and limbic system is fundamental to supporting this internal state, the underlying network architecture tha... read more 

ChromBERT: Uncovering Chromatin State Motifs in the Human Genome Using a BERT-based Approach

bioRxiv
Chromatin states, which are defined by specific combinations of histone post-translational modifications, are fundamental to gene regulation and cellular identity. Despite their importance, comprehensive patterns within chromatin state sequences, whi... read more 

Artificial Intelligence and the Future of Healthcare-Associated Infection Surveillance: Bridging Precision, Partnership, Practice, and People.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
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Using Generative Artificial Intelligence for Healthcare-Associated Infection Surveillance.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Generative artificial intelligence (GenAI) is becoming widespread in society but has had limited impact on medicine. GenAI can rapidly digest large documents, making it particularly well suited for healthcare-associated infection (HAI) surveillance t... read more