AIMC Journal:
bioRxiv

Showing 1361 to 1370 of 4956 articles

Machine Learning Assisted Optimization Framework for Designing Transcranial Focused Ultrasound Phased Array Transducer for Deep Brain Neuromodulation in Mice

bioRxiv
Transcranial focused ultrasound is an emerging noninvasive neuromodulation technique offering high spatial precision and deep penetration. However, in deep brain neuromodulation in mice, the skull base attenuates the signal, distorting the focal regi...

Inducible lipid storage and steatosis in the human choroid plexus associated with age and adiposity

bioRxiv
Cells that store lipids for other cells or organs can contain ''giant'' or large lipid droplets (LLDs) greater than 2 m in diameter. In this study, human postmortem choroid plexus was evaluated for lipid droplets. Staining with hematoxylin and eosin ...

Patterns of Typical and Atypical Age-related Brainstem Volume losses

bioRxiv
Background: The brainstem and its different sub-systems control essential functions such as motor agility etc. that worsen with age. The purpose of this study was: 1. To assess the impact of age-related volume loss within three brainstem sub-systems ...

Whole slide image analysis of the endometrial decidual reaction reveals multiscale perturbations associated with miscarriage

bioRxiv
The inflammatory decidual reaction renders the cycling endometrium transiently permissive for embryo implantation before transforming it into the decidua, the maternal bed accommodating the fetal placenta during pregnancy. Disruptions in decidual tis...

Phylogenetically Dispersed Subsetting for Species-Level Machine Learning Evaluation: Dependence-Aware Validation and Limited Effective Information

bioRxiv
Machine learning is increasingly applied to species-level biological data, but phylogenetic autocorrelation can make evaluation species statistically non-independent, violating the assumption of independence in model evaluation and potentially leadin...

Beyond the annotated: protein foundation models enable robust prediction of microbial root competence

bioRxiv
Background Root competence, the ability of soil bacteria to establish and grow on plant roots, is a key ecological trait influencing plant nutrition, growth, and health. However, identifying genomic determinants of root competence across bacteria rem...

Multi-Algorithm Machine Learning Benchmarking for Pan-Cancer Classification from Tumour-Educated Platelet RNA Sequencing

bioRxiv
Tumour-educated platelets (TEPs) carry cancer-type-specific RNA signatures accessible through whole-blood RNA sequencing, but systematic multi-algorithm benchmarking with quantified statistical uncertainty had not been applied to the GSE68086 dataset...

Beyond natural amino acids: Extending immunogenicity risk assessment to non-canonical peptide drugs through chemical feature encoding

bioRxiv
Peptide therapeutics are increasingly used to treat challenging diseases, but immunogenicity risks limit their clinical success. In silico tools enable immunogenicity screening through prediction of peptide-MHCII binding, yet current methods fail to ...

ARACoFusion: Uncertainty-aware calibrated deep learning for protein-protein interaction network prediction in Arabidopsis thaliana

bioRxiv
Accurate mapping of the Arabidopsis thaliana protein-protein interaction (PPI) network is essential for deciphering complexity of plant systems biology. Here, we present ARACoFusion, a specialized deep learning architecture designed to predict inter-...

Sparse, trainable subnetworks for multi-omics integration: a cross-validated evaluation of the Lottery Ticket Hypothesis across nutrigenomic, toxicogenomic, and oncogenomic datasets

bioRxiv
Multi-omics integration, the joint analysis of two or more high-dimensional molecular data types collected on the same biological samples, is now a standard analytical approach across nutrigenomics, toxicogenomics, microbiome research, and disease ge...