AIMC Journal:
bioRxiv

Showing 571 to 580 of 4935 articles

AI-enabled simultaneous phenotyping of leaf vein and stomatal traits uncovers independent genetic control in maize

bioRxiv
Leaves maintain hydraulic homeostasis during photosynthesis through the coordinated action of stomata, which regulate gas exchange and transpiration, and veins, which supply water to the leaf lamina. While functional links between stomatal and vascul...

Physics-Guided Neural Reconstruction of Cellular Membranes for 3D Electron Microscopy

bioRxiv
With advances in three-dimensional electron microscopy modalities, quantitative characterization of membrane ultrastructure has emerged as an approach to interrogate how organization of proteins and other components around the membrane drive structur...

Humanized Anti-PD-1 Antibodies Generated Using The Conditional Kernel-Elastic Autoencoder

bioRxiv
The human immune system excels at generating highly effective antibodies through natural selection and somatic hypermutation, but adapting these antibodies for therapeutic use, referred to as "antibody medicine-likeness", requires careful considerati...

Disruption of interareal control during propofol anesthesia

bioRxiv
Anesthetic-induced unconsciousness may arise partly from a change in how brain areas can manipulate each other's activity. To quantify this change, we use control-theoretic tools that can precisely characterize how easily subsystems in complex networ...

Reusable modular architecture enables flexible cognitive operations in the mouse brain and artificial recurrent networks

bioRxiv
Complex behaviors are thought to be built by combining simpler cognitive components. Computational modeling has shown that artificial neural networks can perform a variety of tasks by flexibly combining functional modules, each specialized for a spec...

Interpreting Protein Language Models: high attention sites predict functional regions

bioRxiv
Computational proteomics has revolutionized biomedical research, guiding targeted experimental exploration to accelerate protein-based mechanistic discovery. Protein Language Models (PLMs) enable scalable, resource-efficient study; through large-scal...

Non-Invasive Embryo Quality Assessment via Matrix-Optimized Untargeted LC-MS Metabolomics of Spent Embryo Culture Media and Weighted Ensemble Machine Learning

bioRxiv
Spent embryo culture media (SECM) presents significant challenges for untargeted LC-MS metabolomics due to limited sample volume, high salt content, and abundant proteins. Despite growing interest in SECM metabolomics for non-invasive embryo quality ...

Multi-scale modeling of human tissues from spatial transcriptomics with TERRA

bioRxiv
Spatial transcriptomics maps gene expression at cellular resolution, revealing how cells organize into multicellular niches. Yet computational analyses remain dataset-specific, without a transferable representation of tissue organization that general...

Benchmarking Generalizability in Deep Learning-Based White Matter Tract Segmentation

bioRxiv
White matter tracts (WMTs) are the brain's structural foundation for information transfer, underlying essential cognitive and behavioral functions. While diffusion MRI and tractography enable non-invasive mapping of these pathways, automated segmenta...

Pervasive Backdoor Vulnerabilities in Genomic Foundation Models

bioRxiv
Genomic foundation models are increasingly used to interpret and design DNA sequences, yet their susceptibility to training-data manipulation remains poorly understood. Here we systematically evaluate backdoor poisoning across three model families, s...