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Machine Learning and/or Neural Networks to Validate Stem Cells and Their Derivatives for Use in Cell Therapy, Drug Delivery, and Diagnostics
Abstract: Many biological and clinical procedures require functional validation of a desired cell type. Current techniques to validate rely on various assays and methods, such as staining with dyes, antibodies, and nucleic acid probes, to assess stem cell health, death, proliferation, and functionality. These techniques potentially destroy stem cells...
Published: 4/8/2024   |   Inventor(s): Kapil Bharti, Nicholas Schaub, Carl Simon, Nathan Hotaling
Keywords(s): Bharti, Cell therapy, Cell Validation, Less Invasive Diagnostics, Machine Learning, Neural Networks, QUALITY CONTROL, Stem Cell Diagnostics, Stem Cell Therapy
Category(s): TherapeuticArea > Cardiology, Collaboration Sought > Collaboration, Collaboration Sought > Licensing, TherapeuticArea > Oncology, Application > Software / Apps, TherapeuticArea > Dermatology