ReviewEmerging topics in life sciences2025
Molecular life sciences in the era of the Fourth Industrial Revolution: sequencing, multi-omics and artificial intelligence.
Review in Emerging topics in life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Artificial Intelligence for Osteoporosis Diagnosis, Risk Prediction and Therapy: Current Advances, Clinical Challenges, and Future Perspectives.Clinical interventions in aging · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The onset of the Fourth Industrial Revolution has catalysed a fundamental shift in how research within the molecular life sciences is approached and undertaken. Over the past decade, a multitude of nascent enabling technologies have progressed to maturity and have become irreversibly embedded in laboratory practice. Artificial intelligence (AI) has become a mainstay within the molecular sciences, facilitating major advances across a multitude of sub-disciplines, including synthetic biology, industrial biotechnology and drug discovery. One area where this impact is being particularly felt is within multi-omics, where the marriage of AI with low-cost high-throughput sequencing is delivering unprecedented advances, allowing large and often complex datasets to be deconvoluted on timescales previously considered unimaginable. In this mini-review, we outline how the integration of AI into multi-omics has been realised and forecast future trajectories for research in this important area.
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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.