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Immunai, to map immune system for better diagnosis, disease treatment


Key points from article :

Immunai claims its platform can be used to more accurately monitor efficacy of immunotherapy.

"Our platform identifies common patterns not visible looking at narrower disease-specific view."

Uses single-cell technologies to extract data from blood samples.

Then uses machine learning algorithms to map data to cell types and create immune profiles.

The database of immune profiles supports biomarker discovery and insight generation.

This identifies subtle changes in cell type and state-specific expression.

GE Healthcare partnered with Vanderbilt University Medical Center last year.

This is to use AI to retroactively analyze data from anonymized patient records.

Creates new tools allowing clinicians to more accurately predict patients' response to therapy.

National University of Singapore unveiled a cancer "scorecard" or Tumor Matrisome Index.

Developed using big data, predictive analysis of more than 30,000 patient-derived biopsies.

This application of machine learning will soon speed up drug development

Mentioned in this article:

- Biotech company, New York
Jeff Balser
- President and CEO of Vanderbilt University Medical Center
Company Representative
Luis Voloch
- Chief echnology Officer and Co-founder, Immunai
National University of Singapore (NUS)
- Asia’s leading university with a global approach in education, research and service.
Company Representative
Noam Solomon
- CEO and Co-founder, Immunai
Vanderbilt University Medical Center
- Hospital and health care center.