ReviewFrontiers in cellular and infection microbiology2022
Machine Learning and Its Applications for Protozoal Pathogens and Protozoal Infectious Diseases.
Review in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Harnessing AI for advancing pathogenic microbiology: a bibliometric and topic modeling approach.Frontiers in microbiology · 2024Pooled it
- Artificial intelligence-powered microscopy: Transforming the landscape of parasitology.Journal of microscopy · 2026Review
- Modeling Factors Associated With Diarrhea Caused by Cryptosporidium Species Using Machine Learning Methods.Journal of clinical laboratory analysis · 2026Article
- Review
- Comprehensive diagnostic approaches to feline toxoplasmosis: Bridging traditional methods and emerging technologies.Virulence · 2025Review
- A machine learning model and molecular clusters of epigenetic chromatin regulators in tuberculosis based on bioinformatics and clinical samples.Scientific reports · 2025Article
- Transformer-based deep learning enables improved B-cell epitope prediction in parasitic pathogens: A proof-of-concept study on Fasciola hepatica.PLoS neglected tropical diseases · 2025Article
- Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing.Parasites & vectors · 2025Article
- Artificial intelligence in epidemic watch: revolutionizing infectious diseases surveillance.Frontiers in digital health · 2025Review
- Computational tools and data integration to accelerate vaccine development: challenges, opportunities, and future directions.Frontiers in immunology · 2025Review
- Effective Laboratory Diagnosis of Parasitic Infections of the Gastrointestinal Tract: Where, When, How, and What Should We Look For?Diagnostics (Basel, Switzerland) · 2024Review
- Editorial: New advances in the biology and pathogenesis of free-living amoebae.Frontiers in microbiology · 2024Article
- Analytic Approaches in Genomic Epidemiological Studies of Parasitic Protozoa.Transboundary and emerging diseases · 2024Review
- Efficient prediction of anticancer peptides through deep learning.PeerJ. Computer science · 2024Article
- Explainable artificial intelligence and machine learning: novel approaches to face infectious diseases challenges.Annals of medicine · 2023Article
- CD8TCEI-EukPath: A Novel Predictor to Rapidly Identify CD8Frontiers in genetics · 2022Article
- Advances in Microbial Diagnostics: Machine Learning and Nanotechnology for Zoonotic Disease Control.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, massive attention has been attracted to the development and application of machine learning (ML) in the field of infectious diseases, not only serving as a catalyst for academic studies but also as a key means of detecting pathogenic microorganisms, implementing public health surveillance, exploring host-pathogen interactions, discovering drug and vaccine candidates, and so forth. These applications also include the management of infectious diseases caused by protozoal pathogens, such as
Indexed as
Identifiers
What OpenQuestion holds
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.