ReviewDie Naturwissenschaften2025
Artificial intelligence in biology and medicine.
Review in Die Naturwissenschaften, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Artificial Intelligence as a Discovery Engine for Routine Molecular Techniques: Extracting Biological Insight from Western Blotting, ELISA, Immunostaining, and Immunoprecipitation.Cell biochemistry and biophysics · 2026Review
- Artificial intelligence and oral microbiome: Reshaping the diagnostic and therapeutic paradigm of OSCC.Clinical and translational medicine · 2026Review
- AI in Drug Discovery: Clinical Failures, Regulatory Reality, and the Validation Crisis Behind the Hype.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Artificial Intelligence-Assisted Pathogen Detection: Algorithms, Biosensing Platforms, and Applications.Biosensors · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article explores the role of artificial intelligence (AI) in medicine and biology. Special attention is given to areas of biology such as genomics, proteomics, biotechnology, cell, and synthetic biology. In the field of medicine, the emphasis is on diagnosis, vaccine development, and treatment of various diseases, including COVID-19. The future of AI is explored, including explainable AI and biologically inspired models, as well as the synergy of AI with other advanced technologies, such as robotics and nanotechnology. The limitations and challenges facing AI are also analysed, including ethical and legal aspects, data quality issues, and the need for standardisation. The article emphasises that the potential of AI can both improve the quality of life and accelerate scientific discovery, and increase the occurrence of risks associated with its introduction into the scientific process. It concludes by emphasising the need for responsible use of AI to preserve scientific diversity and innovation.
Indexed as
Identifiers
41107683What 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.