AIMC Journal:
bioRxiv

Showing 2201 to 2210 of 4956 articles

The Combinatorial Capacity and Robustness of Hierarchical Concept Coding in the Human Medial Temporal Lobe

bioRxiv Mar 2, 2026
The human brain encodes a virtually infinite repertoire of semantic concepts using a finite number of neurons, a feat that defies the capacity limits of classical attractor networks. While concept cells in the medial temporal lobe (MTL) exhibit extre...
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High Diversity Gene Libraries Facilitate Machine Learning Guided Exploration of Fluorescent Protein Sequence Space

bioRxiv Mar 2, 2026
While protein language models (PLMs) have shown great promise for protein design, their performance is fundamentally constrained by the diversity and completeness of available training data. In particular, PLMs often struggle to extrapolate to sequen...
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ChatSpatial: Schema-Enforced Agentic Orchestration for Reproducible and Cross-Platform Spatial Transcriptomics

bioRxiv Mar 1, 2026
Spatial transcriptomics has transformed our ability to study tissue architecture at molecular resolution, yet analyzing these data demands navigating dozens of computational methods across incompatible Python and R ecosystems---forcing researchers to...
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MolX: A Geometric Foundation Model for Protein-Ligand Modelling

bioRxiv Mar 1, 2026
Understanding how small molecules interact with protein binding pockets is central to structure-based drug discovery. Accurately modelling these interactions requires capturing the 3D geometry and physicochemical complementarity of binding interfaces...
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Evaluating Limits of Machine Learning-Assisted Raman Spectroscopy in Classification of Biological Samples

bioRxiv Mar 1, 2026
Machine learning (ML)-assisted Raman spectroscopy has become a powerful analytical tool for the classification and identification of analytes; however, technical challenges impacting its detection accuracy have not been investigated. This study explo...
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DeepSRFusion: a point cloud deep learning framework for super-resolution particle fusion

bioRxiv Mar 1, 2026
Deciphering the spatial organization of macromolecular complexes in their native context is central to structural biology. Particle fusion in single-molecule localization microscopy offers a unique capability for high-resolution structural reconstruc...
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Evaluating AI-Assisted Customer Verification for Synthetic Nucleic Acid Screening

bioRxiv Mar 1, 2026
Legitimacy screening, the process of verifying the identity and purpose of customers ordering synthetic nucleic acids, is a primary safeguard against the misuse of synthetic biology. However, the associated costs discourage the adoption of screening ...
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Aberration-aware 3D localization microscopy via self-supervised neural-physics learning

bioRxiv Feb 28, 2026
Single-molecule localization microscopy (SMLM) enables volumetric nanoscopy by retrieving 3D molecular positions from engineered 2D fluorescence patterns. However, achieving nanoscale resolution over large axial ranges in complex biological samples r...
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Impact of Image Representation on Deep Learning-Based Single-Cell Classification by Holographic Imaging Flow Cytometry

bioRxiv Feb 28, 2026
Accurate cell type classification is essential for a wide range of biomedical applications, including disease diagnosis, drug discovery, and the study of cellular processes. Holographic imaging flow cytometry (HIFC) provides label-free quantitative p...
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AI-Guided CRISPR Screen Accelerates Discovery of New Drug Targets

bioRxiv Feb 28, 2026
Psoriasis affects over 125 million people worldwide, yet the mechanistic understanding of keratinocyte-driven inflammation remains incomplete, limiting therapeutic innovation beyond costly systemic biologics that are prone to side effects. Here, we p...
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