bioRxiv

Showing 5021 to 5029 of 5029 articles

Decoding Diabetes: Harnessing AI to Accurately Predict Real-Time and Future Blood Glucose Levels for Diabetes Management Using Diet, Exercise, Insulin Intake, and Heart Rate Variability

bioRxiv Jan 1, 2025
Continuous glucose monitoring (CGM) systems play a crucial role in diabetes care. Yet, they focus solely on blood glucose levels (BGL), neglect diet, exercise, and medication, and lack predictive capabilities, leaving patients and clinicians with rea...
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Extending digital biology: bacterial survival and morphological heterogeneity under antibiotic stress

bioRxiv Jan 1, 2025
The morphology of bacteria is modified by antibiotic stress while also serving to survive the antibiotic. However associating morphological descriptors with quantitative measurements of cell survival remains elusive. Here we present a workflow to gen...
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Nona: A unifying multimodal masking framework for functional genomics

bioRxiv Jan 1, 2025
The non-coding genome encodes complex regulatory logic that orchestrates gene expression and cell identity. While machine learning models for functional genomics have advanced our understanding of the cis-regulatory code, sequence-to-function models,...
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SpaTranslator: A deep generative framework for universal spatial multi-omics cross-modality translation

bioRxiv Jan 1, 2025
Recent advances in spatial omics technologies have enabled the simultaneous analysis of multiple molecular patterns in tissue sections, offering unprecedented insights into cellular microenvironments. However, the high cost of measurements and the sp...
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A Global Discovery of Antimicrobial Peptides in Deep-Sea Microbiomes Driven by an ESM-2 and Transformer-based Dual-Engine Framework

bioRxiv Jan 1, 2025
The escalating global threat of multidrug-resistant pathogens underscores the urgent demand for innovative strategies in antimicrobial peptide (AMP) discovery. Notably, deep-sea-related data resources remain underexplored, despite their potential as ...
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GONNECT: A Gene Ontology-guided Neural Network for Explainable Cancer Typing

bioRxiv Jan 1, 2025
Deep Neural Networks (DNNs) are renowned for their high accuracy and versatility, which has led to their application in many fields of research, including biology. However, this accuracy often comes at the expense of interpretability, making it chall...
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ATHENA: A deep learning–based AI for functional prediction of genomic mutations and synergistic vulnerabilities in prostate cancer

bioRxiv Jan 1, 2025
Identifying functional mutations that drive therapy resistance remains a major challenge in prostate cancer. Large-scale sequencing often produces extensive lists of mutations but provides limited insight into which alterations are functionally relev...
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Reversing Eroom’s Law: Finitude and Dilution in Small-Molecule Discovery

bioRxiv Jan 1, 2025
Drug discovery productivity—measured as clinically viable new molecules per research has declined for decades, a trend known as Eroom’s Law. This paradox persists despite advances in screening, computing, and artificial intelligence. Here we show tha...
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Nodal analysis of the human brain networks - a new way to couple function and structure

bioRxiv Jan 1, 2025
Combining the functional and structural connectomes of the human brain on macro-scale could provide information on various brain diseases and conditions. Unfortunately, accomplishing such combination is not trivial as the connectomes are usually deri...
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