ArticlemSystems2022
Predicting Influenza A Virus Infection in the Lung from Hematological Data with Machine Learning.
Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Limited 'heft' of weight-based outcomes in predicting influenza A virus disease severity in ferrets.PLoS computational biology · 2026Article
- Validity of complete blood count in detecting influenza among clinically suspected children in Sri Lanka: a retrospective study from low resource setting country.BMC infectious diseases · 2026Article
- CrossLabFit: A novel framework for integrating qualitative and quantitative data across multiple labs for model calibration.PLoS computational biology · 2025Article
- Article
- Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues.Scientific reports · 2025Article
- Eleven quick tips to unlock the power of in vivo data science.PLoS computational biology · 2025Article
- Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data.Communications biology · 2024Article
- Data alchemy, from lab to insight: Transforming in vivo experiments into data science gold.PLoS pathogens · 2024Article
Corrections and comments
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Authors and funding
13 authors at 7 institutions in 2 countries.
Funding
Abstract
The tracking of pathogen burden and host responses with minimally invasive methods during respiratory infections is central for monitoring disease development and guiding treatment decisions. Utilizing a standardized murine model of respiratory influenza A virus (IAV) infection, we developed and tested different supervised machine learning models to predict viral burden and immune response markers, i.e., cytokines and leukocytes in the lung, from hematological data. We performed independently
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.