Artificial Intelligence Medical Compendium

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

Showing 1,761 to 1,770 of 213,633 articles

Shifu: an integrated framework for deep learning of RNA secondary structure

bioRxiv Jul 16, 2026
Deep learning has advanced RNA secondary-structure prediction by bypassing explicit energy rules to capture long-range dependencies, yet progress is limited less by model scale than by how structures are measured: single scores hide where and why mod... read more 
bioinformatics

{Sigma}0-EvoCell: An AI-Native Ontology that Unifies Evolutionary and Cell Biology in Latent Space

bioRxiv Jul 16, 2026
Foundation models for biology achieve impressive pattern recognition on molecular sequences and single-cell transcriptomics, yet they fail to outperform simple linear baselines for predicting genetic perturbation effects, exposing a gap between stati... read more 
bioinformatics

Spatio-temporal 3D Mapping of Mouse Cerebellar Vascularization during Embryonic Development

bioRxiv Jul 16, 2026
Despite major advances in the study of cerebellar neurogenesis, cerebellar angiogenesis during embryogenesis remains poorly described. Recent advances in tissue clearing, light-sheet microscopy, and artificial intelligence have increasingly enabled d... read more 
neuroscience

Mapping the Transcriptional Landscape of Drug Responses in Primary Human Cells Using High-Throughput DRUG-seq

bioRxiv Jul 16, 2026
To advance our understanding of drug action in physiologically-relevant systems, we developed a high-throughput transcriptomic atlas of compound responses in primary human cell types. Leveraging the scalable and cost-effective Digital RNA with the pe... read more 
systems biology

G$^2$SR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstruction

arXiv Jul 16, 2026
Few-view surface reconstruction recovers the visible surfaces of a scene from a few posed RGB images, providing the 3D models that robots need to explore and interact online. On mobile platforms, the reconstruction must be fast and geometrically accu... read more 
Computer Vision and Pattern Recognition cs.RO

One-Shot Generative Design for Disordered Metamaterials via Self-Organizing Neural Cellular Automata

arXiv Jul 16, 2026
Disordered metamaterials feature microstructures with inherent randomness and irregularity, enabling them to achieve broader property coverage and superior performance unavailable in their regular counterparts. Despite their promise, designing disord... read more 
Computational Engineering, Finance, and Science cs.LG

Immediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency

arXiv Jul 16, 2026
3D Gaussian Splatting (3DGS) has become the method of choice for reconstructing and real-time rendering of captured scenes. To capture a scene with good visual quality, continuous image sequences are usually combined with out-of-order shots for bette... read more 
Computer Vision and Pattern Recognition

Multi-Scale ViT Inference with Habitat-Fit Priors and kNN Retrieval for Multi-Species Plant Identification

arXiv Jul 16, 2026
This paper describes DS@GT ARC's third-place solution to the PlantCLEF 2026 challenge on multi-species plant identification in vegetation quadrat images, where systems must predict every species present in high-resolution (~3000 x 3000 pixel) plot ph... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Compression of 3D Gaussian Splatting Data Using GPU-friendly Graphics Texture Coding

arXiv Jul 16, 2026
Techniques for modeling 3D scenes from image collections, such as 3D Gaussian Splatting (3DGS), are capable of generating high-quality novel views by leveraging graphics primitives with view-dependent appearance. In 3DGS, spherical harmonic (SH) are ... read more 
Computer Vision and Pattern Recognition eess.IV

Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition

arXiv Jul 16, 2026
Visual generative models inevitably absorb undesirable concepts from uncurated pretraining data, making concept erasure essential for safe deployment. Existing erasure methods, however, are often architecture-specific and struggle to remove target co... read more 
Computer Vision and Pattern Recognition
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