Jul 2026· Zeitschrift für Induktive Abstammungs- und Vererbungslehre· Vol 301· 0 citations· 71 references
Medicine
TL;DR
The central argument is that AI is especially consequential in African molecular biology, not simply because it automates analysis, but because it can help unlock insight from African genomic diversity, pathogen biology, and clinically relevant multi-omics data that remain underrepresented in global models.
A clinically oriented, pipeline-based synthesis of contemporary AI applications in genomic medicine, focusing on factors that determine model robustness and clinical utility, and common sources of failure in real-world genomic AI systems.
Alexandra-Maria Blaga, Răzvan-Octavian Mihuț, A. Treteanu et al.· International Journal of Mol...· 0 citations
This review evaluates the current state of AI applications in medicine, focusing on clinical knowledge encoding, molecular drug discovery, and administrative workflow optimization, while critically addressing the technical, ethical, and systemic challenges of their institutional implementation.
Aleksandra Stańczyk, Kinga Haduch, Zuzanna Michalska et al.· International Journal of Inn...· 0 citations
The evidence is strongest where algorithms perform structured classification against well-curated reference data, notably clade and lineage assignment and resistance determinant detection in taxa with dense phenotype-linked genome collections and confidence weakens progressively for retrospective fitness inference, and...
R. A. Adeyemo, Hassan Abdulwasiu Oladele, Odeyemi Oluwayemisi et al.· Journal of medicine and heal...· 0 citations
Findings indicate that artificial intelligence can support the integration and analysis of multi-omics data, support the identification of genetic variants and disease associations, and improve predictive modeling for precision medicine.
Towsif Alam, Koushik Saha, M. K. K. Rony et al.· Journal of Multidisciplinary...· 0 citations
The findings suggest that the digitalization of the pharmaceutical industry and enhanced AI integration hold promise for developing safer and more effective therapeutic strategies, while also identifying obstacles to their widespread adoption and optimal functionality.
K. C. Panda, B. Ravi Kumar, J. Sruti et al.· Reviews on recent clinical t...· 0 citations
Overall, AI is being applied to pediatric genomics in many different ways, including: identifying individuals who may have genetic conditions and assisting in the diagnostic process; AI implementation in the laboratory-based genetic testing process; and how recent AI developments may support patient management as well...
Jack A Meltzer, Benjamin D. Solomon· Current opinion in pediatric...· 0 citations
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