Infectious Disease

Flu & URI

Latest AI and machine learning research in flu & uri for healthcare professionals.

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An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping method.

OBJECTIVES: To classify higher-risk influenza patients within 10 s, we developed an infectious disea...

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Dec 2014 25541528
Humanoid robotics in health care: An exploration of children's and parents' emotional reactions.

A new non-pharmacological method of distraction was tested with 57 children during their annual flu ...

Oct 2013 24140615
Beyond Better Models: Barriers and a Path Forward in Generalisable TCR Antigen Specificity Prediction

T cells are at the centre of adaptive immunity, protecting the organism against infection and cancer...

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Decoding Clade-Specific bNAb-HIV-1 Env Interactions Using Machine Learning

Human immunodeficiency virus type 1 (HIV-1) exhibits extensive genetic diversity, posing a major cha...

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COVID-19 vaccination and survival of cancer patients in Northwestern Russia: a historical registry-based cohort study

Background: Cancer patients face a significantly elevated risk of severe COVID-19 outcomes. Although...

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VideoAWR: Reinforcing Video Flow Models with Decoupled-Timestep Advantage-Weighted Rectification

Regression-based RL for flow models mandates sampling \emph{without} classifier-free guidance (CFG) ...

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A High-Content Pseudotime Framework for Morphological Profiling of Dengue Virus Inhibitors from a Drug-Repurposing Library

Dengue virus (DENV) causes dengue fever, a globally prevalent, epidemic-prone disease with no FDA-ap...

(1)
InfluProto: Predicting Cross-Species Transmission of Influenza A Virus via Prototype Learning

Zoonotic influenza A viruses pose constitute a significant persistent threat to global public health...

A moving target: non-stationary selection governs unsupervised prediction of viral fitness

Anticipating how mutations change viral fitness is central to genomic surveillance and vaccine desig...

Predicting parental Human papillomavirus vaccine hesitancy: development and internal validation of machine learning models

Objectives: Cervical cancer is Cameroon's second most common cancer among women. However, high paren...

An Artificial Intelligence Model for Longitudinal Assessment of TCR Repertoires in SARS-CoV-2 Vaccine Recipients

T cells play a crucial role in reducing disease severity during SARS-CoV-2 infection and in shaping ...

Predicting Neoantigen Immunogenicity from In Vivo Immune Editing

Neoantigen immunogenicity prediction is fundamental to personalized cancer vaccines, tumor-infiltrat...

Effects and predictive performance of multilayer environmental exposures on coccidioidomycosis: a longitudinal surveillance study

Coccidioidomycosis (Valley fever) is a soilborne mycosis endemic to the US Southwest whose incidence...

Forecasting viral evolution from phylogenetic trees

Viral mutation forecasting plays a key role in pandemic preparedness by enabling researchers to anti...

An Integrative Computational Approach to Predict Viral Epitopes by Targeting the MHC-TCR Complexation

T-cell immunity acts as a major defense system against controlling viral infections in vertebrates. ...

Towards a ML-powered Multiscale Computational Platform Based on QSP and PBPK Modeling to Support the Development of mRNA-based Therapies

mRNA-based therapeutics have emerged as a transformative class of medicines, yet their translation b...

Why ML-based cough models do not generalize: a systematic cross-dataset evaluation for tuberculosis screening

Cough acoustics are promising for non-invasive tuberculosis (TB) screening, yet whether machine lear...

An AI-assisted platform for quantitative histopathological analysis in interstitial lung disease

Interstitial lung diseases (ILDs) are heterogeneous pulmonary disorders characterized by chronic inf...

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