AIMC Journal:
bioRxiv

Showing 871 to 880 of 4938 articles

Automated auditory brainstem response peak estimation using a convolutional neural net

bioRxiv
Auditory brainstem responses (ABRs) are a core part of objective functional evaluations of hearing sensitivity and subcortical auditory transmission. Manual assessments of ABR waveforms are still a primary means by which thresholds and peak amplitude...

Brain2voice 2.0: High-performance voice synthesis brain-computer interface

bioRxiv
Brain-computer interfaces (BCIs) offer a promising solution to speech loss due to neurological injury by decoding intended speech directly from brain activity. While recent BCIs have restored high-accuracy text-based communication, they fail to provi...

Standardizing image-derived fish length-frequency distributions to reference measurements using bin-specific error matrices

bioRxiv
Artificial intelligence (AI)-based image analysis can efficiently estimate fish length, but differences in devices, imaging conditions, operators, and AI models limit comparability among surveys. We propose a standardization framework that estimates ...

PEPstrMOD2: Next-generation tertiary structure prediction of chemically modified and non-natural peptides

bioRxiv
While most existing methods are limited to predicting the tertiary structures of proteins containing only canonical residues, the PEPstrMOD server (developed in 2015) pioneered structure prediction for chemically modified and non-natural peptides. De...

Benchmarking AlphaFold and related deep learning approaches for modeling antibody and TCR antigen recognition

bioRxiv
Determining the structural basis of antigen recognition by antibodies and T cell receptors (TCRs) provides critical insights into effective immune targeting and can inform design of biotherapeutics and vaccines. Accurate computational modeling of ant...

Water as a thermal contrast agent for artificial-intelligence-enhanced in vivo mid-infrared thermography

bioRxiv
In vivo infrared thermography is limited by the inherently poor spatial resolution at long wavelengths, low contrast, and the lack of biocompatible contrast agents. Here, we present 3-5 m mid-wave infrared (MWIR) thermography enhanced by an artificia...

Network-mediated diffusion produces disordered self-organization in vegetation

bioRxiv
Vegetation patterns in arid and semiarid regions emerge as a result of a self-organization process triggered by water scarcity. While highly regular patterns are well reproduced through reaction-diffusion models, the origin of commonly observed disor...

Improving Generalizability in Whole-Cell Antibiotic Discovery Through Active Learning

bioRxiv
Machine learning (ML) has accelerated molecular discovery, yet training models to generalize to out-of-distribution (OOD) chemical spaces remains fundamentally constrained by the high cost of experimental validation. In antibiotic discovery, where wh...

Task-adapted biological foundation models uncover perturbation-centric representations

bioRxiv
Foundation models have emerged as powerful tools for learning transferable representations of biological systems, yet their latent spaces are typically optimized to capture cellular state rather than the effects of perturbations. Here, we demonstrate...

Deciphering the Tumor Microenvironment: An Integrated Single-Cell RNA-Seq and AI Framework for Novel Biomarker and Therapeutic Target Discovery in Melanoma

bioRxiv
Background: Melanoma represents a highly immunogenic and therapeutically challenging malignancy. The complex cellular ecosystem of the tumor microenvironment (TME) acts as a critical driver of immune evasion, patient prognosis, and treatment resistan...