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Artificial intelligence-enabled microfluidic analysis of ciliary beat defects for drug discovery, biomedicine, and disease screening

CORDIS · observation · Publication date unknown

Artificial intelligence-enabled microfluidic analysis of ciliary beat defects for drug discovery, biomedicine, and disease screening In Ai4Cilia (“Artificial intelligence for Cilia”), we will develop an automated microfluidic AI-powered assay of ciliated cells to detect and classify ciliary beat abnormalities for drug discovery, biomedicine, and disease screening. Rhythmically beating ciliated cells perform important physiological functions in the airways and the reproductive system. Defects of ciliary beat contribute to debilitating diseases, such as to-date uncurable chronic obstructive pulmonary disease (COPD), and underdiagnosed causes of infertility. In the context of our ERC StG MecCOPD, we recently showed that standard video-microscopy recordings of ciliary beat can be used to extract quantitative metrics that clearly identify disease-specific ciliary dysfunction. Therefore, since

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR