AIMC Journal:
bioRxiv

Showing 821 to 830 of 4938 articles

AI-enabled Spatial Profiling of Circulating Tumor-Immune Ecosystems Predicts Patient Outcomes Across Cancers

bioRxiv
Circulating tumor cells (CTCs) and immune cells form dynamic multicellular ecosystems in blood, but their spatial organization and clinical relevance have not been systematically characterized. We developed the Cell and Cluster Identification Program...

Hierarchical classification of hematologic malignancies using epigenetic and genetic information

bioRxiv
Molecular testing in hematology requires different assays for disease subgroup identification, risk stratification and selection of appropriate treatment regimens. Yet, molecular tests are not necessarily standardized between diagnostic laboratories,...

Foundation Model RNAGAN Enhances Biomedical Insight of Nasopharyngeal Carcinoma Metastasis

bioRxiv
RNAGAN (version 2.0, https://github.com/ZhaozhengHou-HKU/RNAGAN-2.0.git) is a published foundation model that analyzes single-cell and bulk-level RNA sequencing samples and enables multiple applications that enhance medical insights. Here we applied ...

DATA-DRIVEN IDENTIFICATION OF SEX DIFFERENCES IN CEREBRAL BLOOD FLOW USING ARTERIAL SPIN LABELLING AND EXPLAINABLE ARTIFICIAL INTELLIGENCE

bioRxiv
Purpose: To investigate sex differences in cerebral blood flow through densely parcellated cortical and subcortical regions using explainable artificial intelligence methods and identify neurobiologically interpretable perfusion biomarkers. Methods: ...

Invasion history of Aedes (Stegomyia) albopictus into Mesoamerica based on mitogenomes and Wolbachia symbionts: Multiple introductions with temperate origins.

bioRxiv
The global invasion of the Asian tiger mosquito Aedes albopictus has led to an increase in arboviral disease, including within Mesoamerica. Understanding vector invasion routes is important for public health because it directs biosecurity and identif...

A deep-learning-informed prior and Bayesian model for differential AP-MS interactome analysis

bioRxiv
Affinity-purification mass spectrometry (AP-MS) maps a bait proteins partners, but every purification also captures abundant non-specific background that masks genuine interactors. Established tools such as SAINTexpress and CompPASS score one evidenc...

Directed evolution of compact synthetic promoters via AlphaGenome and genetic algorithms

bioRxiv
Compact tissue-specific promoters are highly desirable for gene therapy because viral vectors possess limited packaging capacity. However, existing promoter engineering strategies rely primarily on rational design or de novo sequence generation and l...

Current challenges in GWAS integration and fine-mapping for variant interpretation

bioRxiv
Over the past two decades, genome-wide association studies (GWAS) have identified thousands of trait- and disease-associated loci. However, the mechanistic understanding of these loci remains incomplete, which limits our ability to understand gene re...

When Color Adds Nothing: A Causal Audit of Channel Triplication in Alzheimer's MRI Classification

bioRxiv
Medical imaging pipelines routinely copy single-channel grayscale data into three identical RGB channels before classification, usually without justification. This study tests whether that step affects model predictions. Four coordinated experiments ...

A systematic analysis of machine learning pipelines for robust antimicrobial resistance prediction

bioRxiv
Motivation: Antimicrobial resistance (AMR) has been identified as a top global public health threat. Accurate AMR phenotype prediction from whole-genome sequencing data is an essential tool for accelerating clinical decision-making and mitigating res...