This Cooperative Agreement award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program provides $904,947 to Biochip Labs Inc. to optimize the manufacturing processes and develop machine learning-based automation for their endothelium-on-a-chip microfluidic platform. The project aims to scale up the production of this assay, which is used to study blood-endothelium interactions relevant to sickle cell disease and evaluate drug candidates. The work will involve improving fabrication methods, materials selection, and system integration to enable broader commercialization and accessibility of the technology. Additionally, the project will create automated data analysis capabilities using machine learning to classify adhesion events, replacing manual counting. This is expected to streamline the use of the endothelium-on-a-chip platform for preclinical drug screening and toxicity assessment. The award has a period of performance from April 1, 2024 to March 31, 2026 and includes plans for sub-awards to academic collaborators.
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