This technology is a method to generate squamous epithelial 3D organoids that can mimic the natural physiology of tissues and be used as a personalized pathology model.
This technology is patient-specific engineered model of bone marrow for diagnostics and research of cancer progression using a sample of patient’s serum.
This technology is a bioengineered bone marrow system that can be applied to study various human diseases, toxicity responses, and immune functions in vitro.
This technology is a computational pipeline designed to identify major kinases in different cancer subtypes for the development of precision cancer therapeutics.
This technology is a modular platform with engineered tissues linked by vascular perfusion that can be used to study tumor progression and systemic disease in a clinically relevant setting.
This technology uses computational methods to identify the cell of origin and differentiation path leading to the formation of a particular type of cancer-associated fibroblasts (“aCAFs,” standing for aggressive cancer-associated fibroblasts), as well as related pan-cancer targets for therapeutic development.
This technology is two methods, called ssg-MeDIP-Seq and sscf-MeDIP-Seq, for improved tumor detection using detection of DNA methylation density in genomic DNA, and of hemi-methylated regions in plasma cell-free DNA.
This technology is an RNA templated genome editing technique that can be utilized in any organism, without the typical requirement for homologous recombination.