Artificial Intelligence Medical Compendium

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

Showing 26,781 to 26,790 of 218,283 articles

Multimodal prediction of visual improvement in diabetic macular edema using real-world electronic health records and optical coherence tomography images

medRxiv Apr 24, 2026
Multimodal learning has the potential to improve clinical prediction by integrating complementary data sources, but the incremental value of imaging beyond structured electronic health record (EHR) data remains unclear in real-world settings. We deve... read more 
health informatics

Failure to classically condition planarian flatworms

bioRxiv Apr 24, 2026
Planarian flatworms represent one of the most evolutionarily informative nervous systems for an account of ancient bilaterian brains. Likewise, the unparalleled regenerative ability of planarians makes possible certain investigations of neural develo... read more 
animal behavior and cognition

Integrating AI and molecular modeling for structural prediction of a closed state of the hERG channel

bioRxiv Apr 24, 2026
The voltage-gated potassium channel hERG (Kv11.1) plays a central role in cardiac repolarisation by mediating the rapid delayed rectifier K current (IKr). Blockage of hERG by small molecules can lead to delayed repolarisation, QT interval prolongatio... read more 
biochemistry

H2O: A Foundation Model Bridging Histopathology to Spatial Multi-Omics Profiling

bioRxiv Apr 24, 2026
Spatial omics technologies have revolutionized the molecular profiling of tissues but remain constrained by high costs and limited scalability. While hematoxylin and eosin (H&E) staining is ubiquitous, it lacks molecular specificity. Here, we present... read more 
bioinformatics

Probabilistic coupling of cellular and microenvironmental heterogeneity by masked self-supervised learning

bioRxiv Apr 24, 2026
Spatial omics technologies have advanced to single-cell resolution, enabling systematic analysis of tissue microenvironments alongside cellular-state heterogeneity. However, computationally defining microenvironmental states at single-cell resolution... read more 
bioinformatics

scConcept enables concept-level exploration of single-cell transcriptomic data

bioRxiv Apr 24, 2026
Interpreting high-dimensional single-cell transcriptomic data remains challenging, as existing methods rely on latent representations or prior knowledge that require extensive post hoc analysis to derive biologically meaningful insights. Topic models... read more 
bioinformatics

Turep: Detecting cross-cancer tumor-reactive T cells in single-cell and spatial transcriptomics data

bioRxiv Apr 24, 2026
Tumor-infiltrating lymphocytes are essential for anti-tumor immunity, yet distinguishing tumor-reactive T cells from non-reactive bystander cells remains a significant challenge. Existing signatures, often derived from single cohorts, lack robustness... read more 
bioinformatics

Systematic Evaluation of AlphaFold2 and OpenFold3 on Protein-Peptide Complexes

bioRxiv Apr 24, 2026
Protein-peptide interactions are important mediators of diverse biological processes. While deep learning has revolutionized protein structure prediction, comparative evaluation of these methods, specifically for protein-peptide complexes, remains an... read more 
bioinformatics

CellChem: Cellular transcriptional responses reshape molecular representation space for efficient and multi-scale drug discovery

bioRxiv Apr 24, 2026
Despite decades of progress in computational drug discovery, deep learning-based molecular representation models remain largely structure-centric, assuming that chemical similarity approximates functional similarity. However, drug effects in cells ar... read more 
molecular biology

On the predictability of progression-free survival in ovarian cancer from NanoString gene expression data

bioRxiv Apr 24, 2026
In the treatment of high grade serous ovarian cancer (HGSC), patients initially diagnosed with unresectable tumors are first treated with neoadjuvant chemotherapy (NACT) to reduce tumor burden prior to surgery. Analysis of matched pre- and post- NACT... read more 
cancer biology
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