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The Bomsztyk lab is developing high-throughput technologies for multi-omics applications to reverse-engineer disease and aging molecular pathology. The technologies consist of tissue storing and sampling (CryoGrid ), microplate sample preparation (PIXUL), and microplate analytical (Matrix) platforms linked to qPCR,  the next generation sequencing (NGS) and mass spectrometry (MS). These techniques are user friendly generating large amounts of data from cell cultures and frozen and FFPE tissue blocks.

These platforms, along with computational algorithms, are being applied to several diseases, as well as aging, related areas, such as acute and chronic organ injury, cancer and diabetes. These high-throughput technologies and machine learning tools provide opportunities to discover disease pathways, biomarkers, and potential drug targets.

Four Pillars of Precision Medicine R&D

I. Access to hundreds and thousands of high-quality human biospecimens

II. Reliable sample and analyte preparation and assays to generate harmonized multiomics datasets

III. Robotized workflows

IV. Multimodal machine learning to integrate multiomics harmonized datasets and metadata to generate coherent representations

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