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Related Experiment Video

Updated: Jan 20, 2026

The Evidence for Evolution and Common Ancestor
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Precision Oncology-The Quest for Evidence.

Theodoros G Soldatos1, Sajo Kaduthanam2, David B Jackson3

  • 1Molecular Health GmbH, 69115 Heidelberg, Germany. soldatos@molecularhealth.com.

Journal of Personalized Medicine
|September 8, 2019
PubMed
Summary

Genomic medicine guides cancer treatment, but clinical utility evidence is needed. Innovative trials use biomarkers and analytics to show positive impacts, paving the way for AI-assisted treatment decisions.

Keywords:
clinical trial designclinical utilitygenome-based diagnosticspersonalized cancer medicinetreatment decision support

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Area of Science:

  • Oncology
  • Genomic Medicine
  • Biomarker Discovery

Background:

  • Molecular tumor characterization offers a rational approach to cancer treatment decision-making.
  • Genomic medicine is emerging, with early adopters facing significant clinical and financial risks.
  • Innovative precision oncology trials are crucial for demonstrating clinical utility.

Purpose of the Study:

  • To discuss the molecular foundations of precision oncology approaches.
  • To highlight diverse innovative trial strategies utilizing emergent knowledge.
  • To explore the transition towards AI-assisted treatment decision support.

Main Methods:

  • Reviewing molecular characterization in oncology.
  • Analyzing innovative precision oncology trial designs.
  • Discussing the role of predictive biomarkers and treatment decision support analytics.

Main Results:

  • Precision oncology trials aim to demonstrate the impact of biomarkers and analytics on drug response, survival, and quality of life.
  • A diversity of innovative trial strategies are capitalizing on molecular insights.
  • Increasing clinico-molecular data will drive advancements in treatment decision support.

Conclusions:

  • Molecular tumor characterization is foundational for guiding cancer care.
  • Innovative trials are essential for validating precision oncology technologies.
  • The future of cancer patient care may be revolutionized by AI-assisted treatment decision support.