AIMC Topic: COVID-19
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Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics.
Scientific reports
Apr 10, 2025
Viral codon fitness (VCF) of the host and the VCF shifting has seldom been studied under quantitative measurements, although they could be concepts vital to understand pathogen epidemiology. This study demonstrates that the relative synonymous codon ...
DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus.
Scientific reports
Apr 10, 2025
The integration of Artificial Intelligence (AI) techniques with medical kits has revolutionized disease diagnosis, enabling rapid and accurate identification of various conditions. We developed a novel deep learning model, namely DeepATsers based on ...
Low-cost algorithms for clinical notes phenotype classification to enhance epidemiological surveillance: A case study.
Journal of biomedical informatics
Apr 8, 2025
OBJECTIVE: Our study aims to enhance epidemic intelligence through event-based surveillance in an emerging pandemic context. We classified electronic health records (EHRs) from La Rioja, Argentina, focusing on predicting COVID-19-related categories i...
Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.
IEEE transactions on pattern analysis and machine intelligence
Apr 8, 2025
Given radiology images, automatic radiology report generation aims to produce informative text that reports diseases. It can benefit current clinical practice in diagnostic radiology. Existing methods typically rely on large-scale medical datasets an...
AI-imputed and crowdsourced price data show strong agreement with traditional price surveys in data-scarce environments.
PloS one
Apr 8, 2025
Continuous access to up-to-date food price data is crucial for monitoring food security and responding swiftly to emerging risks. However, in many food-insecure countries, price data is often delayed, lacks spatial detail, or is unavailable during cr...
Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey.
Yearbook of medical informatics
Apr 8, 2025
OBJECTIVES: To select, present, and summarize cutting edge work in the field of Knowledge Representation and Management (KRM) published in 2022 and 2023.
Virtual reality in drug design: Benefits, applications and industrial perspectives.
Current opinion in structural biology
Apr 7, 2025
Virtual reality (VR) is a tool which has transformative potential in domains which involve the visualization of complex 3D data such as structure-based drug design (SBDD), where it offers new ways to visualize and manipulate complex molecular structu...
Deep Learning-Based Comparative Prediction and Functional Analysis of Intrinsically Disordered Regions in SARS-CoV-2.
International journal of molecular sciences
Apr 5, 2025
This study explores the role of intrinsically disordered regions (IDRs) in the SARS-CoV-2 proteome and their potential as targets for small-molecule drug discovery. Experimentally validated intrinsic disordered regions from the literature were utiliz...
Clinical microbiology and artificial intelligence: Different applications, challenges, and future prospects.
Journal of microbiological methods
Apr 4, 2025
Conventional clinical microbiological techniques are enhanced by the introduction of artificial intelligence (AI). Comprehensive data processing and analysis enabled the development of curated datasets that has been effectively used in training diffe...
MIST: An interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis.
Science advances
Apr 4, 2025
Joint analysis of transcriptomic and T cell receptor (TCR) features at single-cell resolution provides a powerful approach for in-depth T cell immune function research. Here, we introduce a deep learning framework for single-T cell transcriptome and ...
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