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Next-Generation Clinical Trials and Research with Successful Collaborations
1Graduate School of Medicine, Kyoto University, Kyoto, Japan. toi@kuhp.kyoto-u.ac.jp.
Advances in Experimental Medicine and Biology
|May 13, 2021
Summary
Clinical trials require fundamental changes for improved efficiency and transparency. Integrating omics technology and artificial intelligence, alongside global collaboration, enhances patient outcomes and trust in research.
Area of Science:
- Clinical research methodology
- Biomedical informatics
- Translational science
Background:
- Clinical trials are evolving but need fundamental improvements.
- Increasing demands for efficiency, accountability, and transparency in research.
- Emerging technologies like omics and AI offer transformative potential.
Purpose of the Study:
- To highlight necessary changes in clinical trial design and execution.
- To explore the integration of omics technology and artificial intelligence.
- To review successful global collaborative studies and their impact on good clinical practices.
Main Methods:
- Review of global clinical and exploratory collaborative studies.
- Analysis of outcomes related to patient survival, drug toxicity, efficacy, and safety.
- Assessment of biomarker discovery and consensus-building for improved practices.
Main Results:
- Successful outcomes in patient survival, drug efficacy, and safety were achieved.
- Biomarker identification and consensus contributed to enhanced clinical practices.
- Collaborative studies demonstrated the value of integrated approaches.
Conclusions:
- Fundamental changes are needed to enhance clinical trial relevance and outcomes.
- Integrating omics and AI can accelerate advancements and improve transparency.
- Future progress relies on collaboration, cooperation, and trust among stakeholders.
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