bioRxiv

Showing 3861 to 3870 of 5001 articles

An Explainable Web-Based Diagnostic System for Alzheimer’s Disease Using XRAI and Deep Learning on Brain MRI

bioRxiv Jan 1, 2025
Background Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by cognitive decline and memory loss. Despite advancements in AI-driven neu-roimaging analysis for AD detection, clinical deployment remains limited due to chal-l...
View on bioRxiv DOI

ROSMAP-Compass: a data-harmonised, AI-ready atlas of 22 million single nuclei from the ROSMAP cohort

bioRxiv Jan 1, 2025
The Religious Orders Study and Memory and Aging Project (ROSMAP) cohort has generated the world’s most comprehensive single-cell transcriptomic resource for Alzheimer’s disease research. Naturally, in a project spanning multiple years with dozens of ...
View on bioRxiv DOI

APDeeM: A machine Learning strategy towards Effective Peptide Vaccine Candidates Identification against Different Types of Viruses

bioRxiv Jan 1, 2025
Viral infections pose significant global health challenges, underscoring the urgent need for improved medications. Nevertheless, traditional medicinal approaches depend significantly on labor-intensive laboratory tests, which impede efficient identif...
View on bioRxiv DOI

Acetylcholine demixes heterogeneous dopamine signals for learning and moving

bioRxiv Jan 1, 2025
Midbrain dopamine neurons promote both reinforcement learning and movement vigour1–12. A major outstanding question is how dopamine-recipient neurons in the striatum parse these heterogeneous signals. Previous work suggests that cholinergic striatal ...
View on bioRxiv DOI

MSF-CPMP: A Novel Multi-Source Feature Fusion Model for Cyclic Peptide Membrane Permeability Prediction

bioRxiv Jan 1, 2025
Cyclic peptides are becoming attractive molecules for drug discovery because of their properties with inherent stability and structural diversity. However, the high potential of cyclic peptide drugs is challenged by the limited membrane permeability ...
View on bioRxiv DOI

Impact of variation in tissue staining and scanning devices on performance of pan-cancer AI models: a study of sarcoma and their mimics

bioRxiv Jan 1, 2025
Histopathological analysis is considered the gold standard for the diagnosis and prognostication of cancer. Recent advances in AI, driven by large-scale digitisation and pan-cancer foundation models, are opening new opportunities for clinical integra...
View on bioRxiv DOI

Interpretable Machine Learning on Soybean Multi Omics Data Reveals Drought-Driven Shifts of Plant-Microbe Interactions

bioRxiv Jan 1, 2025
Plant-microbe interactions in the rhizosphere are central to plant growth, nutrient acquisition, and stress resilience. Multi-omics approaches enable comprehensive profiling of different biological layers, yet integrating these data to understand the...
View on bioRxiv DOI

Microbial Named Entity Recognition and Normalisation for AI-assisted Literature Review and Meta-Analysis

bioRxiv Jan 1, 2025
Manual curation of biomedical literature is slow and error-prone and while large language models (LLMs) trained on general texts have shown to be useful for text summarisation, these methods lack the domain-specific expertise required to perform this...
View on bioRxiv DOI

Efficient Double Helix Detection with Steerable Filters

bioRxiv Jan 1, 2025
We present an efficient detection scheme for localization of Double Helix point-spread functions for 3D single-molecule localization microscopy or tracking. Using steerable filters, we extract both 2D position and lobe orientation (axial position) es...
View on bioRxiv DOI

TISCalling: Leveraging Machine Learning to Identify Translational Initiation Sites in Plants and Viruses

bioRxiv Jan 1, 2025
The recognition of translational initiation sites (TISs) offers complementary insights into identifying genes encoding novel proteins or small peptides. Conventional computational methods primarily identify Ribo-seq-supported TISs and lack the capaci...
View on bioRxiv DOI
Popular Topics
Popular Journals