Artificial Intelligence Medical Compendium

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

Showing 45,091 to 45,100 of 224,055 articles

Autoencoders for unsupervised analysis of rat myeloarchitecture

bioRxiv
Quantitative assessment of brain histology is often constrained by predefined feature sets and labor-intensive manual annotations. To overcome these limitations, we employed unsupervised deep learning to automatically extract and quantify tissue orga... read more 

Structure, disorder, and dynamics in task-trained recurrent neural circuits

bioRxiv
Across many brain areas, neurons produce heterogeneous, seemingly disordered responses. Yet the circuits these neurons comprise cannot be purely random; they must possess some structure to generate representations and computations underlying behavior... read more 

Towards Cross-Sample Alignment for Multi-Modal Representation Learning in Spatial Transcriptomics

bioRxiv
The growing number of spatial transcriptomics (ST) datasets enables comprehensive multi-modal characterization of cell types across diverse biological and clinical contexts. However, integration across patient cohorts remains challenging, as local mi... read more 

A comprehensive benchmark of publicly available image foundation models for their usability to predict gene expression from whole slide images

bioRxiv
Recent advances in large-scale self-supervised learning have led to the emergence of foundation models capable of extracting transferable visual representations from high-dimensional image data. In computational pathology, such models are increasingl... read more 

An Integrated Computational Antigen Discovery Pipeline with Hierarchical Filtering for Emerging Viral Variants

bioRxiv
Emerging and evolving viral diseases, such as SARS-CoV-2, continue to pose significant global health challenges, underscoring the urgent need for rapid and scalable antigen discovery pipelines. This work presents a computational pipeline that integra... read more 

An autonomous system for multi-objective continuous evolution at scale

bioRxiv
Natural evolution is high-dimensional; organisms adapt to many pressures at once, across substrates, environments, and genetic backgrounds. Yet most directed evolution methods flatten this landscape to a single selection axis, hiding tradeoffs, and l... read more 

Validation and analysis of 12,000 AI-driven CAR-T designs in the Bits to Binders competition

bioRxiv
Artificial intelligence (AI) methods for proteins have advanced rapidly, improving structure prediction and design, particularly for de novo binders. However, most evaluations emphasize binding affinity rather than higher-order biological function. W... read more 

Neural Encoding of Immediate and Instrumental Value During Planning

bioRxiv
Planning is a key executive function that enables humans to anticipate future outcomes by mentally simulating action sequences and balancing immediate gains against long-term goals. While we developed a partial understanding of neural mechanisms of p... read more 

Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs

arXiv
Reasoning has emerged as a key capability of large language models. In linguistic tasks, this capability can be enhanced by self-improving techniques that refine reasoning paths for subsequent finetuning. However, extending these language-based self-... read more 

CAWM-Mamba: A unified model for infrared-visible image fusion and compound adverse weather restoration

arXiv
Multimodal Image Fusion (MMIF) integrates complementary information from various modalities to produce clearer and more informative fused images. MMIF under adverse weather is particularly crucial in autonomous driving and UAV monitoring applications... read more