Artificial Intelligence Medical Compendium

Automated fundus-based diabetic retinopathy (DR) grading can substantially expand screening capacity, but source-trained models degrade sharply across different cameras, clinics, and patient populations. Existing test-time adaptation methods depend o... read more 

Recent advances in video generation have increased the demand for reliable watermarking for copyright protection, yet the robustness of video watermarks against removal attacks remains underexplored. Most watermark-removal methods originate from the ... read more 

Partial occlusion makes object detection difficult when visible regions have weak texture or similar appearance. Hyperspectral imaging provides material-dependent spectra and wavelength-dependent optical blur, which offer complementary evidence for s... read more 

HIV persistence during suppressive antiretroviral therapy (ART) remains a central barrier to cure, with the majority of reservoirs residing in gut-associated lymphoid tissues (GALT). Here, we define a spatially organized viral microenvironment (VME) ... read more 

Patient-specific phenotype information extraction identifiers and normalizes phenotype entities and links them with individual patients, supporting rare disease research and genotype-phenotype analysis. However, existing datasets rarely combine full-... read more 

Motivation: Peptide toxicity remains a major bottleneck in drug development, as small sequence variations can drastically alter cytotoxic profiles. Experimental assessment is costly and time-consuming, motivating computational predictors. Existing ap... read more 

Transposable elements (TEs) constitute a substantial fraction of the human genome and contribute to genomic and epigenomic regulation. However, TE-related knowledge remains fragmented across the literature and databases, with inconsistent identifiers... read more 

Predictive grid cells, a recently discovered functional class of neurons in medial entorhinal cortex (MEC), exhibit grid-like tuning, not with respect to where an animal currently is, but where it will be. Such coding, which is disjoint from standard... read more 

Cancers frequently co-opt genes and transcriptional networks associated with embryos and stem cells, yet the extent and significance of expressing gene programs associated with the earliest stages of embryonic development in cancer remain unknown. Sy... read more 

Background: Marker-based estimates of completeness and contamination are widely used to identify near-complete metagenome-assembled genomes (MAGs), but they do not detect foreign sequences joined within a contig. Results: Across 63 samples from eight... read more