AIMC Journal:
bioRxiv

Showing 661 to 670 of 4938 articles

A predictive theory of experimental design for inferring neural population geometry in large-scale recordings

bioRxiv Jul 23, 2026
Ongoing technological advances will lead to recordings with progressively increasing numbers of neurons, while trial counts may only increase modestly. The analysis of such large-scale data increasingly relies on extracting collective neural populati...
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Structured Sparsification of Signal-Transmission Networks Enhances Visual Information Coding

bioRxiv Jul 23, 2026
Sensory coding depends on the architecture of cortical neural networks, yet the principles linking network organization to coding performance remain poorly understood. To address this question, we inferred spiking signal-transmission networks at sing...
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Single-cell foundation models predict durable CAR T response despite imperfect cell annotation

bioRxiv Jul 23, 2026
CD19 targeted chimeric antigen receptor (CAR) T cell therapy achieves high initial response rates in B cell acute lymphoblastic leukemia (B ALL), yet half of patients relapse within one year. Pre-infusion product composition decoded by single-cell RN...
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Diagnostic Performance of Fluorescence-Based Rapid On-Site Specimen Evaluation for Helicobacter pylori Antimicrobial Susceptibility Testing Before and After Algorithm Optimization: A Two-Round Comparative Study

bioRxiv Jul 23, 2026
Objective This study was designed to evaluate the diagnostic performance of fluorescence-based rapid on-site specimen evaluation (F-ROSE) for antimicrobial susceptibility testing of Helicobacter pylori (H. pylori) and to compare test performance befo...
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X-PAIR: an ultrafast multitask framework for proteome-scale reconstruction of PPI networks and partner-specific interfaces from sequence

bioRxiv Jul 23, 2026
Protein-protein interaction prediction and residue-level interface localisation are biologically intertwined but usually treated as separate computational problems. Here we present X-PAIR, a sequence-based multitask deep learning framework that joint...
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Deformable Models-Based Retinal OCT Layer Segmentation and Classification with Feature Analysis

bioRxiv Jul 23, 2026
Optical coherence tomography (OCT) is widely used for retinal disease assessment, but automated quantitative analysis remains challenging because of anatomical variability and noisy imaging conditions. This study presents an interpretable OCT classif...
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CHIMIYA-1: An Autoselection Foundation Model for ADMET Property Prediction, Rigorously Benchmarked Against the Therapeutics Data Commons ADMET Group

bioRxiv Jul 23, 2026
Accurate, generalizable prediction of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties remains one of the highest-leverage unsolved problems in computational drug discovery, and late-stage attrition driven by ADMET lia...
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Beyond the Static Caliper: Dynamical Translocases and the Mathematical Imperative for Single-Molecule Proteomics

bioRxiv Jul 23, 2026
The advent of single-molecule nanopore sequencing established a powerful platform for modern genomics by using static biological pores to report the translocation of canonical nucleic acids, enabling rapid, accessible nucleic acid analysis. However, ...
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Super-resolution imaging with deep learning-based segmentation for detailed characterization of mitochondrial arrangement in Pompe disease skeletal muscle

bioRxiv Jul 22, 2026
Pompe disease (glycogen storage disease type II) is an autosomal recessive lysosomal storage disorder characterized by progressive glycogen accumulation within lysosomes. It leads to their enlargement, autophagosome build-up and defective autophagic ...
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Linguistic structure and probability are jointly encoded in high gamma power

bioRxiv Jul 22, 2026
During speech comprehension, the brain dynamically infers a hierarchy of increasingly abstract representations from the sensory input. An important step in the inferential hierarchy is the combination of words to form phrases and sentences. Whether t...
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