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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.

Insights

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.

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.

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