multi-omics data integration

Gutz Analytics builds AI models to better understand human disease through subtyping, aiming to lower patient care costs and enable effective treatments. Its Dynomics platform uses Dynamic Variational Autoencoders (DVAE) to create digital twins from multi-omics data, identifying disease subtypes that predict treatment response. The company's current focus is autism spectrum disorder, with applications in oncology, autoimmune diseases, and neurological conditions.

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AI/machine learning modelingBioinformaticsdigital twinsdisease subtypingDynamic Variational Autoencoders (DVAE)patient stratification