AIMC Journal:
bioRxiv

Showing 2531 to 2540 of 4979 articles

Automated Segmentation of Kidney Nephron Structures by Deep Learning Models on Label-free Autofluorescence Microscopy for Spatial Multi-omics Data Acquisition and Mining

bioRxiv
Automated spatial segmentation models can enrich spatio-molecular omics analyses by providing a link to relevant biological structures. We developed segmentation models that use label-free autofluorescence (AF) microscopy to recognize multicellular f...

Brainstem neurons coordinate the bladder and urethral sphincter for urination

bioRxiv
Urination, a vital and conserved process of emptying urine from the urinary bladder in mammals, requires precise coordination between the bladder and external urethral sphincter (EUS) that is tightly controlled by a complex neural network. However, t...

Transformer-Based Phenotyping of Rice Root Aerenchyma Across Environments Enables Climate-Smart Rice Selection

bioRxiv
Quantification of root anatomical traits such as cortical aerenchyma is key to understanding rice adaptation to diverse water regimes. Recently, the role of aerenchyma in regulating methane emissions has been demonstrated, making it a target for clim...

Microplastics drive both linear and threshold-type shifts in soil multifunctionality along concentration gradients

bioRxiv
Microplastics are increasingly recognized as emerging contaminants in terrestrial ecosystems, yet their mechanistic impacts on soil multifunctionality remain poorly understood. Here, we evaluated the influence of two microplastic types, polyethylene ...

PlotGDP: an AI Agent for Bioinformatics Plotting

bioRxiv
High-quality bioinformatics plotting is important for biology research, especially when preparing for publications. However, the long learning curve and complex coding environment configuration often appear as inevitable costs towards the creation of...

An agentic framework turns patient-sourced records into a multimodal map of ALS heterogeneity

bioRxiv
ALS shows marked clinical heterogeneity, yet much real-world evidence remains trapped in unstructured reports. Here we introduce MEDSTREM, a large-language-model (LLM)-based agent that converts patient-sourced document images into standardized longit...

Deep-learning-based fMRI decoding of real-world size for hand-held objects

bioRxiv
Real-world object size is a fundamental dimension of visual cognition, supporting effective interaction with the environment and object manipulation. However, neural mechanisms encoding size have largely been inferred from extreme size comparisons, l...

Closed-loop imitation learning reveals muscle-centric and latent-goal codes in primate sensorimotor cortex

bioRxiv
Dexterous grasping requires the seamless integration of proprioceptive feedback with predictive motor commands. Yet, how cortical circuits combine afferent feedback with efference copies to support skilled hand control remains poorly understood. Here...

Domain Adaptation Enables Cross-site Classification of First-episode Schizophrenia from Multimodal Neuroimaging Data

bioRxiv
Identifying robust neuroimaging markers associated with schizophrenia is essential for advancing research and informing clinical understanding. However, a major obstacle to clinical translation is the limited ability of neuroimaging-based classificat...

Beyond Lipschitz: Ranking Binding Affinity in Hyperbolic Space

bioRxiv
Despite the importance of protein-ligand affinity ranking in drug discovery, existing deep learning models struggle to distinguish hard inactives that are structurally similar to active compounds but biologically inactive. We theoretically show this ...