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Updated: Jul 16, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Using ChatGPT to predict the future of personalized medicine.
George P Patrinos1,2,3, Negar Sarhangi4, Behnaz Sarrami5
1Department of Pharmacy, School of Health Sciences, University of Patras, 26504, Patras, Greece.
Personalized medicine and pharmacogenomics offer a promising future for tailored treatments based on genetics. AI tools like ChatGPT predict advancements but acknowledge current limitations needing resolution.
Area of Science:
- Genomics
- Artificial Intelligence
- Health Informatics
Background:
- Personalized medicine leverages individual genetic makeup for tailored healthcare.
- Pharmacogenomics optimizes drug treatment by analyzing genetic variations in drug response.
- Future treatments may integrate genetic, transcriptomic, proteomic, epigenetic, and lifestyle data for personalized medication.
Purpose of the Study:
- To explore the future of personalized medicine and pharmacogenomics using AI.
- To assess AI's predictive capabilities regarding advancements in individualized healthcare.
Main Methods:
- Utilized ChatGPT, an advanced conversational AI, to query future trends.
- Formulated questions regarding personalized medicine and pharmacogenomics.
Main Results:
- ChatGPT predicts a promising future for personalized medicine and pharmacogenomics.
- AI anticipates significant improvements in patient outcomes and medical transformation.
- Identified current limitations within AI predictions that require further research and development.
Conclusions:
- Personalized medicine and pharmacogenomics hold immense potential for revolutionizing healthcare.
- AI tools can provide insights into future medical advancements.
- Addressing AI-identified limitations is crucial for realizing the full potential of personalized medicine.
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