AIMC Journal:
bioRxiv

Showing 1771 to 1780 of 4956 articles

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...
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AI-readiness criteria for biomedical data

bioRxiv Apr 24, 2026
Biomedical research is rapidly adopting artificial intelligence (AI). Yet the inherent complexity of biomedical data preparation requires implementing actionable, robust criteria for ethical and explainable AI (XAI) at the "pre-model" stage, encompas...
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Multiscale volume electron microscopy of the human liver maps vascular-cellular architecture, organelle dynamics and inter-organelle communication

bioRxiv Apr 24, 2026
The human liver depends on multiscale structural organization from vasculature to cells to organelles to perform its diverse metabolic functions. A unified three-dimensional view linking these hierarchical scales in intact human tissue would be usefu...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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