bioRxiv

Showing 4621 to 4630 of 5021 articles

Moremi Bio Agent: Using Neisseria meningitidis Reference Data For The Double Blinded Validation of A General Purpose Biology-Trained Reasoning Model for Pathogen and Antigen Discovery

bioRxiv
Antibodies serve as vital diagnostic and therapeutic agents due to their exceptional specificity toward antigenic targets. Mapping antibody–antigen interactions is essential for understanding immune responses and developing vaccines or biologics. Tra...

LaCONIC: A Label-Aware and Graph-Guided Contrastive Multi-Omics Collaborative Learning Model for Cancer Risk Prediction

bioRxiv
Investigating accurate cancer survival prediction models has important clinical value for optimizing therapeutic strategies and improving clinical outcomes. Although an increasing number of models have shifted from relying solely on clinical variable...

Deep learning predicts haematopoietic stem cell ageing from 3D chromatin images

bioRxiv
The functional decline of the haematopoietic system during ageing propagates detrimental effects on the whole organism, ultimately eroding life and healthspan. Quantifying haematopoietic ageing holds great scientific and clinical relevance. Alteratio...

Modeling and Design of Multi-layered Cylindrical Microcapsules for Intravitreal Controlled Release

bioRxiv
Chronic diseases often require repeated oral or local administration, which can compromise patient compliance. In wet age-related macular degeneration (AMD), current therapies rely on intravitreal injections of anti-vascular endothelial growth factor...

Machine learning for integrative multi-omics clustering and feature gene identification

bioRxiv
Multi-omics integrative analysis is pivotal for elucidating complex molecular mechanisms and biological processes, yet remains challenging in multi-omics data integration and feature selection. Here we present MIA, a machine learning framework for mu...

Subtype-Specific Dependencies and Drug Vulnerabilities Enable Precision Therapeutics in Head and Neck Cancer

bioRxiv
Molecular heterogeneity in head and neck squamous cell carcinoma (HNSCC) is well recognized, yet existing subtype frameworks remain largely descriptive and have not translated into therapeutic decision-making. Here, we establish a mechanistic platfor...

High-Fidelity Neural Speech Reconstruction through an Efficient Acoustic-Linguistic Dual-Pathway Framework

bioRxiv
Reconstructing speech from neural recordings is crucial for understanding speech coding and developing brain-computer interfaces (BCIs). However, existing methods trade off acoustic richness (pitch, prosody) for linguistic intelligibility (words, pho...

RegEvol: detection of directional selection in regulatory sequences through phenotypic predictions and phenotype-to-fitness functions

bioRxiv
Regulatory DNA controls when and where genes are expressed, making it a key driver of phenotypic evolution. Yet detecting selection in non-coding regions remains difficult, as most approaches rely on sequence conservation or changes in substitution r...

Disentangling Cephalopod Chromatophores Motor Units with Computer Vision

bioRxiv
Cephalopod chromatophores are skin pigment organs that enable unmatched camouflage through rapid, flexible and neurally controlled deformation. Although their morphology is well known, the organization of their motor control is not entirely understoo...

Efficient Deep Learning Models for Predicting Individualized Task Activation from Resting-State Functional Connectivity

bioRxiv
Deep learning has shown promise in predicting task-evoked brain activation patterns from resting-state fMRI. In this study, we replicate the state-of-the-art BrainSurfCNN model using data from the Human Connectome Project, and explore biologically mo...