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CURATE.AI: Optimizing Personalized Medicine with Artificial Intelligence.

Agata Blasiak1,2, Jeffrey Khong1,2, Theodore Kee1,2

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Summary
This summary is machine-generated.

Phenotypic personalized medicine (PPM) offers a novel approach to treatment by optimizing drug combinations and dosing strategies using individual patient data. This method improves treatment outcomes and patient quality of life.

Keywords:
artificial intelligencedigital therapeuticsevidence basedpersonalized dosingpersonalized medicine

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Area of Science:

  • Biomedical Informatics
  • Pharmacology
  • Personalized Medicine

Background:

  • Clinical treatment decisions rely on trial data, but individual responses vary, leading to suboptimal outcomes.
  • Combination therapies and changing patient physiology complicate treatment selection and dosing.
  • Current big data approaches face challenges with data availability and quality.

Purpose of the Study:

  • To introduce and evaluate Phenotypic Personalized Medicine (PPM) as an alternative to standard treatment protocols.
  • To demonstrate the efficacy of PPM in optimizing drug combinations and dosing strategies for individual patients.

Main Methods:

  • Utilizing the Quadratic Phenotypic Optimization Platform (QPOP) for drug combination selection.
  • Employing CURATE.AI for dynamic, individualized dosing strategies based on small-N patient data.
  • Focusing on small data collected exclusively from the treated individual.

Main Results:

  • PPM approaches demonstrate superior outcomes compared to the current standard of care.
  • PPM effectively maximizes desired therapeutic output while minimizing side effects.
  • Improved length and quality of life for individuals undergoing PPM-guided treatment.

Conclusions:

  • Phenotypic Personalized Medicine (PPM) offers a powerful, data-driven approach to optimizing patient treatment.
  • PPM overcomes limitations of traditional methods by tailoring therapies to individual patient needs and responses.
  • This personalized approach significantly enhances treatment efficacy and patient well-being.