AIMC Journal:
bioRxiv

Showing 1071 to 1080 of 4938 articles

Infectious Disease Forecasting via Physics-Informed Machine Learning

bioRxiv
Infectious disease transmission evolves as a dynamic process shaped by biological mechanisms, population behavior, and intervention policies, yet public health responses are often driven by lagging indicators. Accurate short- and long-term disease fo...

A Systematic Review and Independent Benchmarking of Automated Nerve Morphometry Methods

bioRxiv
Objective: To systematically review automated nerve morphometry tools and independently benchmark their performance on independent optic nerve datasets. Design: Systematic review and comparative benchmarking study. Controls: Benchmarking was performe...

Physics-Informed Operator Learning for Pulsatile Milk Flow in Distal Generations of a Bifurcated Mammary Duct Network

bioRxiv
Pulsatile milk transport through the lactating mammary ductal tree involves complex interactions between pressure gradients, wall compliance, and non-Newtonian rheology across spatial scales that span nearly two orders of magnitude in lumen radius. D...

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets

bioRxiv
Large-scale clinical and biomedical datasets increasingly contain both diverse subgroup attributes (e.g., demographic or clinical subgroups) and multiple prediction targets. Although various machine learning approaches can address subgroup difference...

Orion: Towards Lab Automation with Computer-Using Agents

bioRxiv
Laboratory discovery increasingly depends on computational workflows that connect experimental data to analysis, interpretation and follow-up hypotheses. Yet these workflows remain constrained by labor-intensive use of specialized software, visual in...

Automated Parameter Estimation for Camera Trap Density Models Using Computer Vision-Enhanced Distance Sampling

bioRxiv
Models for estimating animal density from camera traps require four parameters informing detection: movement speed, daily activity level, staying time (duration animals remain within the detection zone), and effective detection distance. These parame...

Phylogenetic tree inference using generative models

bioRxiv
Accurate inference of phylogenetic trees is fundamental to evolutionary biology, yet existing methods rely on complex pipelines involving multiple sequence alignment, explicit evolutionary models, and computationally intensive tree search procedures....

Invariant Neural Representation of Parts of Speech in the Human Brain

bioRxiv
Elucidating the internal representation of language in the brain has major implications for cognitive science, brain disorders, and artificial intelligence. A pillar of linguistic studies is the notion that words have defined functions, often referre...

SMLMFlow: Improving Structural Resolution in Single Molecule Localization Microscopy with Flow Matching

bioRxiv
While Single Molecule Localization Microscopy (SMLM) aims to generate precise coordinates of molecular targets in cells, the resulting point clouds are inherently blurred by additive noise sources across the experimental, imaging, and processing work...

Trustworthy agentic genomics through versioned skill libraries

bioRxiv
Genomics is adopting autonomous AI agents that interpret genomes from natural-language instructions faster than it is building the means to trust them. We report the first large-scale controlled evaluation of where, in an agentic genomic pipeline, co...