Deep Learning for Immunophenotyping and Cell Classification

Medical Biotechnology › AI Cell Therapy Development Research

Deep Learning for Immunophenotyping and Cell Classification

Interns will create convolutional neural networks and other deep learning models to analyze flow cytometry and imaging data for precise identification and classification of immune cell populations. This work involves training models on high-dimensional single-cell data to support cell therapy quality control and characterization.

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