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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Artificial Intelligence-Driven Personalized Medicine.

Zhi-Yong Liu1, Chang-Fu Kuo2

  • 1Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Research Building 3rd Floor, No.15 Wenhua 1st Road, Guishan District, Taoyuan City 333, Taiwan.

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PubMed
Summary
This summary is machine-generated.

Personalized medicine uses AI and genomic data for tailored treatments, improving patient outcomes. This approach enhances disease detection, drug discovery, and adaptive therapies for better global healthcare.

Keywords:
Artificial intelligenceDrug discovery and developmentGenomic medicinePersonalized medicinePrecision medicinePredictive analytics

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Area of Science:

  • Genomic Medicine
  • Artificial Intelligence in Healthcare
  • Precision Therapeutics

Background:

  • Personalized medicine leverages individual genetic, environmental, and lifestyle data.
  • Advances in genomics and AI are key drivers of this targeted treatment approach.
  • Current healthcare often relies on a one-size-fits-all model.

Purpose of the Study:

  • To explore the role of AI in advancing personalized medicine.
  • To highlight the potential of AI-driven tools for diagnosis and treatment.
  • To discuss the transformative impact of AI on healthcare paradigms.

Main Methods:

  • Integration of artificial intelligence (AI) with genomic data.
  • Utilizing AI tools such as predictive analytics and machine learning.
  • Employing real-time monitoring for adaptive therapies.

Main Results:

  • AI enables precise diagnosis and optimized therapeutic strategies.
  • AI facilitates early disease detection and enhances drug discovery.
  • AI supports adaptive therapies for improved patient outcomes.

Conclusions:

  • AI-driven personalized medicine promises to revolutionize healthcare.
  • This approach offers more cost-effective and patient-centered care.
  • Future advancements will improve clinical outcomes and quality of care globally.