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[Innovative activated platelet detection technology by artificial intelligence].

Atsushi Yasumoto1

  • 1Department of Clinical Laboratory, The University of Tokyo Hospital.

[Rinsho Ketsueki] the Japanese Journal of Clinical Hematology
|November 9, 2020
PubMed
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A new intelligent Image-Activated Cell Sorter (iIACS) detects platelet aggregates for antiplatelet drug efficacy. This technology aids in the early diagnosis of thrombotic microangiopathy (TMA) by identifying excessive platelet activation.

Area of Science:

  • Biomedical Engineering
  • Hematology
  • Artificial Intelligence

Background:

  • Antiplatelet drugs are crucial for atherothrombosis, but efficacy evaluation methods are lacking.
  • Platelet aggregates play a key role in thrombotic events and related diseases.

Purpose of the Study:

  • To introduce the novel intelligent Image-Activated Cell Sorter (iIACS) for analyzing platelet aggregates.
  • To explore the application of iIACS in evaluating antiplatelet drug efficacy and diagnosing thrombotic microangiopathy (TMA).

Main Methods:

  • Development of iIACS utilizing high-speed imaging and deep learning for single-cell analysis.
  • Detection and quantification of platelet aggregates based on size and morphology.
  • Analysis of platelet aggregate formation induced by various agonists.
Keywords:
Artificial intelligenceAtherothrombosisPlatelet aggregatesTMA

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Main Results:

  • iIACS successfully detects individual platelets (2 µm) and quantifies platelet aggregates.
  • Distinct morphological features of platelet aggregates were identified based on different activating agents.
  • The technology shows potential for early TMA diagnosis through detection of excessive platelet aggregation.

Conclusions:

  • iIACS represents a breakthrough in analyzing platelet aggregates, offering a tool for drug efficacy assessment.
  • The ability to characterize platelet aggregates can lead to earlier and more accurate diagnosis of TMA.
  • This technology has significant implications for personalized medicine in cardiovascular and thrombotic disorders.