Statera Biopharma, Inc.’s foundation is based on restoring immune health through the leveraging of complex pleiotropic beneficial effects. At Statera, we embrace the idea that beneficial safe drugs act as natural analogs in a paracrine fashion, as well as a trans-activator, to resolve disease and elicit homeostasis — much like nature, but we engineer it.
Statera Biopharma: Changing the way people think about immunotherapy.
Statera Biopharma develops its pipeline with these guiding principles:
Statera’s drug development focuses on healthy today AND healthy tomorrow outcomes by promoting drugs that bring the immune system back into homeostasis. This principal requires the complicated integration of many components to deliver true balance rather than just pursuing and executing usual suspects with monolithic all-in approaches.
Just as the immune system naturally engages many cellular/compartments to effect change, we expect that multiple components of the immune system will be engaged by our therapies. Complexity is a theme we embrace in our discovery/development program—AIMS (ADVANCED IMMUNOMODULATING MULTI_COMPONENT SYSTEM). AIMS is the combination of many assays that point to the effect we’ll demonstrate in vivo which will “AIMS” us to the therapeutic.
It is important to us that our therapeutics do not sacrifice symptomatic relief today in exchange for substantial future risks. This is revolutionary in some ways as “RISK/benefit” is a typical rationalization, that disposes of a future concern in exchange for “whatever it takes to get another day.” However, we think about BENEFIT/risk and value the quality of life and future of those we treat.
Our principles manifest themselves in our discovery, research and development
Our foundational compositions have known activities that restore diseased tissues to healthy phenotypes in a bi-phasic, dose-related fashion. Our compositions, like many natural biologic factors, are therapeutic in the context they are administered, incomparable simply across a linear concentration curve, but rather a biologic. As mimics of biology, they represent the chemical archetypes of our potential next-gen compositions, further lifted by our understanding of their mechanism to that we can expand the breadth of use and drive potential toxicities ever lower.
We screen new compositions that hit multiple pathways in multiple cell types, fully expecting that parallel interactions in aggregate will drive the therapeutic effect. This means we will run small observational studies, or learn from others who do, how the aggregate effect is logically greater than the effects one can measure in vitro.
Where complexity is thematic, computational methods are the best way to integrate and improve composition design. As we engineer new chemical entities, or evaluate myriad phenotypical results in trials, we will feed artificial intelligence, learning machines, and predictive algorithms so they evolve to find a better composition with a higher therapeutic value.
We will use in-human findings as a primary form of information to develop our next generation of compositions. Technology has untethered us from having to discover ex vivo only. Deep analysis of human immunology post-treatment will return to our discovery platform, extending the computational and in vitro models.