Developing Better Cancer Cell Models
Nearly 92% of Selected Lead Molecules for Cancer Clinical trials fail. It all starts with how the cancer patient's cancer cells are isolated, cultured, and tested.


Most of it has to do with the complexity of Patient Cancer Tumor samples. The complexity, highlighted in articles by Hanahan and Weinberg point to the many mechanisms cancer cells and cancer cell colonies employ to escape treatment. We are seeking partners to help us advance our cell isolation, culturing, identification and 'living library' platform of cancer clonal colonies.

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Frudakis Patent-1
Single Cell Cancer Analysis

Cancer cells are built to survive. Their origin is from our own cells that have gone awry for many reasons but still possess the extremely strong hereditary trait to survive. Survival is built into our DNA and to understand cancer cell colonies, studying all the cancer cells is vital to defeating a cancer colony. We are looking for partners to help us combine Artificial Intelligence, machine learning with novel cancer cell colony isolation and identification technologies as well as combination screening using STAT3 degraders with any selected targets against any cancers.



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Conjugated Antibodies

Conjugated antibodies have long been used to identify specific target cancer cells for diagnostic or drug development. One of the more successful diagnostic/drug combinations, Herceptin, started as a diagnostic. The keys to understanding not just the way to culture and propagate clonal variants, even down to the single cell level, is crucial to a successful clinical trial and approval, whether its a diagnostic, small molecule or a biomolecule. 

We are seeking partners that can help us expand our antibody reach and explore applications in diagnostics and drugs discovery and development using biomolecular targets against cancer.


2019-Guo et al-Multiplexed and high through-put fluorescent antibody conjgates-3


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