Integrating genomics, transcriptomics, proteomics and metabolomics with machine learning enables more precise and tailored therapeutic strategies that improve treatment efficacy and reduce adverse effects.
Published November 30, 2024, this peer-reviewed article reviews how combining genomics, transcriptomics, proteomics and metabolomics with machine learning and high-throughput sequencing is being used to tailor therapies to individual genetic and molecular profiles.
- Impact 30%
- 49
- Evidence 25%
- 95
- Scale 20%
- 35
- Confidence 15%
- 87
- Recency 10%
- 84
Updated Jul 19, 2026 · TRV-2026-0274
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