Artificial intelligence-based miRNA analysis for precision oncology: diagnostic and prognostic insights
The powerful combination of AI and miRNA biology is reshaping oncology. It enables earlier cancer detection, more accurate forecasts of disease course, and therapies tailored to the individual. Realizing this potential demands AI models that clinicians can understand and trust, diverse datasets to ensure tools work fairly for all patients, and close teamwork across disciplines to integrate these advances into real-world care. This convergence marks a pivotal shift towards proactive, precise, and accessible cancer management globally.
Authors
- Maryam Koopaie (ORCID: https://orcid.org/0000-0002-9999-1443)
- Gowhar Rashid
- IQUEBAL HASAN
- Zainab Siddiqui
- Nishat Fatima
- Tauqeer Zehra
Institutions
- University of Pikeville (US)
- Sher-i-Kashmir Institute of Medical Sciences (IN)
- Brain Mapping Foundation (US)
- Tehran University of Medical Sciences (IR)
Publication Details
- Journal
- Frontiers in Molecular Biosciences
- Published
- 2026-03-05
- DOI
- https://doi.org/10.3389/fmolb.2026.1749586
- Primary Topic
- MicroRNA in disease regulation
- Type
- article
- Field-Weighted Citation Impact
- 0.00