ReviewAnnals of medicine2024
Machine learning in infectious diseases: potential applications and limitations.
Review in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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.
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.
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Who cites it
30 citing papers in PubMed.
- Quantitative risk assessment of avian influenza: A scoping review.Infectious Disease Modelling · 2026Review
- Predicting Insecticide-Treated Net Use Among Under-Five Children in Tanzania Using Machine Learning: Evidence From the 2022 Tanzania DHS.Health science reports · 2026Article
- Zoonotic Parasite Nanovaccines: Progress, Challenges, and Future Perspectives.Integrative zoology · 2026Review
- MINERVA: a public XAI-powered platform advancing multi-target discovery in Alzheimer's disease.Journal of cheminformatics · 2026Article
- Machine Learning in Nonhuman Primate Models of Infectious Diseases: Current Applications and Future Perspectives.Journal of the American Association for Laboratory Animal Science : JAALAS · 2026Review
- The emergence of superficial dermatophytosis due toJournal of clinical microbiology · 2026Article
- Metallic topological structures in bone repair implants: Design, properties, and biological interactions.Journal of orthopaedic translation · 2026Review
- Assessing the Application of a Genomic Network Analysis in Population Ecology: Inferring Patterns of Dispersal and Geographic Structure in the Emerging Pathogen,Ecology and evolution · 2026Article
- Integrating Host Genetics and Clinical Setting in Machine Learning Models: Predicting COVID-19 Prognosis for Healthcare Decision-Making (The FeMiNa Study).Diagnostics (Basel, Switzerland) · 2026Article
- Modeling Factors Associated With Diarrhea Caused by Cryptosporidium Species Using Machine Learning Methods.Journal of clinical laboratory analysis · 2026Article
- Generalized additive model integrating multi-source data for short-term influenza forecasting in Shenzhen, China (2023-2025).Frontiers in public health · 2026Article
- Application of dimensionality reduction and clustering techniques for the analysis of Carrion's disease cases in the period 2000-2024.Frontiers in artificial intelligence · 2026Article
- Utilization, perceived benefits and concerns regarding robotic technologies among community pharmacists.Future science OA · 2025Article
- Predicting Infectious Disease Incidence After Flooding Using Artificial Intelligence Models: A Retrospective Pre-Post Cohort Study Using Routinely Collected EHR Data.Health science reports · 2025Article
- From data to immunity: the role of machine learning in advancing malaria vaccine research: a scoping review.Tropical diseases, travel medicine and vaccines · 2025Review
- Machine Learning-Powered Smart Healthcare Systems in the Era of Big Data: Applications, Diagnostic Insights, Challenges, and Ethical Implications.Diagnostics (Basel, Switzerland) · 2025Review
- Advancements in Modern Nucleic Acid-Based Multiplex Testing Methodologies for the Diagnosis of Swine Infectious Diseases.Veterinary sciences · 2025Review
- Refining early detection of Marburg Virus Disease (MVD) in Rwanda: Leveraging predictive symptom clusters to enhance case definitions.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025Article
- AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions.BMC health services research · 2025Article
- Machine Learning and Artificial Intelligence for Infectious Disease Surveillance, Diagnosis, and Prognosis.Viruses · 2025Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infectious diseases are a major threat for human and animal health worldwide. Artificial Intelligence (AI) combined algorithms including Machine Learning and Big Data analytics have emerged as a potential solution to analyse diverse datasets and face challenges posed by infectious diseases. In this commentary we explore the potential applications and limitations of ML to management of infectious disease. It explores challenges in key areas such as outbreak prediction, pathogen identification, drug discovery, and personalized medicine. We propose potential solutions to mitigate these hurdles and applications of ML to identify biomolecules for effective treatment and prevention of infectious diseases. In addition to use of ML for management of infectious diseases, potential applications are based on catastrophic evolution events for the identification of biomolecular targets to reduce risks for infectious diseases and vaccinomics for discovery and characterization of vaccine protective antigens using intelligent Big Data analytics techniques. These considerations set a foundation for developing effective strategies for managing infectious diseases in the future.
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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.