bioRxiv

Showing 4191 to 4200 of 5016 articles

Contrastive learning of adverse events to provide effective and interpretable vector representations for machine-assisted pharmacovigilance

bioRxiv
Post-marketing surveillance is crucial for drug safety, yet the tools of pharmacovigilance rely solely on text-based data that may limit the applicability of contemporary machine learning methodologies in the support of decision making. Here, we adap...

High-Parameter Spatial Multi-Omics through Histology-Anchored Integration

bioRxiv
Spatial omics face challenges in achieving high-parameter, multi-omics co-profiling. Serial-section profiling of complementary panels mitigates technical trade-offs but introduces the spatial diagonal integration problem. To address this, we present ...

CellDiffusion: a generative model to annotate single-cell and spatial RNA-seq using bulk references

bioRxiv
Annotating single-cell and spatial RNA-seq data can be greatly enhanced by leveraging bulk RNA-seq, which remains a cost-effective and well-established benchmark for characterising transcriptional activity in immune cell populations. However, a major...

A geometric shape regularity effect in the human brain

bioRxiv
The perception and production of regular geometric shapes, a characteristic trait of human cultures since prehistory, has unknown neural mechanisms. Behavioral studies suggest that humans are attuned to discrete regularities such as symmetries and pa...

AstraPTM2: A Context-Aware Transformer for Broad-Spectrum PTM Prediction

bioRxiv
Post-translational modifications (PTMs) are covalent changes in proteins after biosynthesis that shape stability, localization, and function. While numerous computational tools exist for PTM site prediction, most struggle to handle full-length protei...

The Regional Landscape of the Human Colon Culturome in Health and Cystic Fibrosis

bioRxiv
Cystic fibrosis (CF) alters gut physiology, yet its impact on microbial communities across colonic regions (ascending, transverse, descending colon) and microhabitats (lumen, mucosa) remains incompletely understood. Here, we applied culturomics to ch...
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Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging

bioRxiv
Circulating blood cell clusters (CCCs) containing red blood cells (RBCs), white blood cells (WBCs), and platelets are significant biomarkers linked to conditions like thrombosis, infection, and inflammation. Flow cytometry, paired with fluorescence s...

Machine learning behavioral analysis reveals cervical instability as an early biomarker of Amyotrophic Lateral Sclerosis

bioRxiv
Early detection of neuromuscular disorders is a major clinical challenge, with most diagnoses only occurring after considerable motor neuron degeneration has already taken place. The central problem for early diagnosis of neuromuscular diseases is th...

Generating Synthetic MR Perfusion Maps from DWI and FLAIR in Acute Ischemic Stroke using Deep Learning

bioRxiv
Magnetic resonance imaging (MRI) is critical for acute stroke triage, but time-consuming, and often requires contrast injection for perfusion imaging. This study aimed to synthesize T-map perfusion maps from routinely available, non-contrast DWI and ...

M-DeepAssembly2: A Web Server for Predicting Multiple Conformations of Multi-domain Proteins Using Deep Learning

bioRxiv
The biological functions of proteins often depend on dynamic transitions between multiple conformational states, and for multi-domain proteins, inter-domain dynamics play a critical role in their biological functions. Despite significant advances in ...