ReviewTrends in molecular medicine2020
Emergence of New Disease: How Can Artificial Intelligence Help?
Review in Trends in molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- Evolving Landscape of Emerging Virus Diagnosis: Challenges and Innovations.Molecular biotechnology · 2026Review
- Effective Integration of Artificial Intelligence and Blockchain Technologies for Empowerment of Drug Discovery and Development.Current drug discovery technologies · 2025Review
- Development of a novel strategy to reduce diagnostic errors in real-time polymerase chain reaction using probe-based techniques.Scientific reports · 2024Article
- Epidemic intelligence activities among national public and animal health agencies: a European cross-sectional study.BMC public health · 2023Article
- Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions.Life (Basel, Switzerland) · 2022Review
- Using artificial intelligence technology to fight COVID-19: a review.Artificial intelligence review · 2022Article
- Change Management and Digital Innovations in Hospitals of Five European Countries.Healthcare (Basel, Switzerland) · 2021Article
- How artificial intelligence may help the Covid-19 pandemic: Pitfalls and lessons for the future.Reviews in medical virology · 2021Review
- Different kinds of stem cells in the development of SARS-CoV-2 treatments.World journal of stem cells · 2021Review
- Rational Vaccine Design in Times of Emerging Diseases: The Critical Choices of Immunological Correlates of Protection, Vaccine Antigen and Immunomodulation.Pharmaceutics · 2021Review
- Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies.The Journal of international medical research · 2021Article
- AI in Fighting Covid-19: Pandemic Management.Procedia computer science · 2021Article
- The prediction of the lifetime of the new coronavirus in the USA using mathematical models.Soft computing · 2021Article
- Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks.PeerJ. Computer science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emergence of new disease remains a critical parameter in human health and society. Advances in artificial intelligence (AI) allow for rapid processing and analysis of massive and complex data. In this forum article, the recent applications across disease prediction and drug development in relation to the COVID-19 pandemic are reviewed.
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.