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AI-organoid integrated systems for biomedical studies and applications.

Sudhiksha Maramraju1,2, Andrew Kowalczewski3,4, Anirudh Kaza1,2

  • 1Department of Biomedical Engineering University of North Texas Denton Texas USA.

Bioengineering & Translational Medicine
|March 4, 2024
PubMed
Summary

Artificial intelligence (AI) is revolutionizing human pluripotent stem cell (hPSC)-derived organoids for disease modeling and drug discovery. AI efficiently analyzes complex organoid data, overcoming limitations in current research methods.

Keywords:
artificial intelligencedeep learningdisease modelingdrug evaluationhuman pluripotent stem cells (hPSCs)machine learningorganoidregenerative medicine

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Area of Science:

  • Biomedical Engineering
  • Stem Cell Biology
  • Artificial Intelligence

Background:

  • Human pluripotent stem cell (hPSC)-derived organoids are vital for disease modeling, drug discovery, and regenerative medicine.
  • Analyzing complex datasets from organoids (microscopy, transcriptomics, etc.) is challenging and prone to errors.
  • Artificial intelligence (AI) offers advanced computational methods to process and interpret these datasets.

Purpose of the Study:

  • To review the integration of AI in hPSC-derived organoid research.
  • To highlight AI applications in organoid-based disease modeling and drug evaluation.
  • To discuss future AI potential in organoid quality control and data analysis.

Main Methods:

  • Review of current literature on AI applications in organoid research.
  • Exploration of AI techniques for analyzing diverse organoid data types (imaging, omics).
  • Discussion of AI's role in disease modeling, drug screening, and organoid fabrication.

Main Results:

  • AI significantly enhances the efficiency and accuracy of analyzing complex organoid datasets.
  • AI facilitates predictive modeling for disease progression and drug responses using organoid data.
  • AI integration promises improved quality control and advanced 3D reconstruction of organoids.

Conclusions:

  • AI is crucial for unlocking the full potential of hPSC-derived organoids in biomedicine.
  • Addressing challenges in AI-organoid integration is key for reliable and standardized research.
  • Future AI development will further accelerate discoveries in organoid research and applications.