bioRxiv

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Artificial Intelligence-enabled Histological Analysis in Preclinical Respiratory Disease Models: A Scoping Review

bioRxiv Jan 1, 2025
Histological analysis is a cornerstone of preclinical respiratory disease research, enabling assessment of pathology, therapeutic effects, and mechanisms. However, conventional approaches rely on manual scoring, which is subjective, time-consuming, a...
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Predicting Future SARS-CoV-2 Mutations using Deep Learning

bioRxiv Jan 1, 2025
SARS-CoV-2 continues to spread over the world steadily as opposed to many earlier estimations that it would disappear in less than two years. Even though SARS-CoV-2 vaccines have reduced the speed of the infection significantly, they could not fully ...
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Mapping the AI Life Sciences Landscape in Greece: A National Survey and Bibliometric Comparison with Global Trends

bioRxiv Jan 1, 2025
Artificial intelligence is increasingly used in Life Sciences, though the pace and direction of adoption varies widely across countries. To map the Greek landscape, we combined two complementary approaches, a data-driven analysis of 916,824 AI-relate...
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Dissociating internal representations underlying knowing and experiencing

bioRxiv Jan 1, 2025
How do internal brain representations bridge seeing an object and thinking about it after it disappears? Both object knowledge and mental imagery are involved in this process, engaging overlapping perceptual regions, yet whether their neural codes ar...
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Epithelial convergent extension as a tuning process

bioRxiv Jan 1, 2025
Self-tuning—the ability of disordered systems to develop desired collective behaviors by tuning internal couplings in response to feedback—has recently emerged as a powerful framework for understanding adaptation in amorphous solids, mechanical metam...
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Connecting a P300 speller to a large language model

bioRxiv Jan 1, 2025
The advent of large-language models (LLMs) offers a transformative approach for improving the performance of brain-computer interface (BCI) spellers. We propose a novel framework that leverages the contextual understanding of LLMs to compensate for i...
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Scalable and systematic hierarchical virus taxonomy with vConTACT3

bioRxiv Jan 1, 2025
Viruses are key players in diverse ecosystems, but studying their impacts is technically and taxonomically challenging. Taxonomic complexities derive from undersampling, diverse DNA and RNA genomes with multiple evolutionary origins, and lack of a un...
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Confidence-based Prediction of Antibiotic Resistance at the Patient Level

bioRxiv Jan 1, 2025
Rapid and accurate diagnostics of bacterial infections are necessary for efficient treatment of antibiotic-resistant pathogens. Cultivation-based methods, such as antibiotic susceptibility testing (AST), are limited by bacterial growth rates and seld...
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Learning the Unseen: Data-Augmented Deep Learning for PTM Discovery with Prosit-PTM

bioRxiv Jan 1, 2025
Post-translational modifications (PTMs) are critical regulators of protein function, yet confidently identifying and localizing PTM sites across proteomes remains a challenging task. Integrating peptide property predictions into spectrum interpretati...
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Multivariate environmental exposures are reflected in whole-brain functional connectivity and cognition in youth

bioRxiv Jan 1, 2025
Each individual’s complex, multidimensional environment, known as their “exposome”, plays an essential role in shaping cognitive neurodevelopment. Understanding the mechanisms whereby children’s exposome influences their development is crucial to fac...
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