Introduction.
Introduction.Aging is the underlying driver of diseases with growing unmet need.
Aging occurs in each and every cell within the body and is the largest risk factor across many of the most debilitating modern diseases. At Shift Bioscience, we are drawing on cutting edge cell biology and machine learning to develop new ways to effectively reverse aging by cell rejuvenation. Our mission is to reduce cellular age without changing cell identity.
About.
Shift has assembled a world-class team of scientists that bridge machine learning and cell biology.
Operating at the nexus of single cell sequencing, aging clocks and virtual cells, Shift’s proprietary single cell aging clock and virtual cell models allow us to run experiments in silico. What once took years now takes seconds.
Science.
A single factor for safer cellular rejuvenation.
SB000 is a breakthrough, single gene target that reverses validated cell aging clocks in multiple cell types. It is well positioned as a target for safer cell rejuvenation therapeutics, with initial application in localised age-driven diseases such as age-related hearing loss.
SB000.
Science.
Leaders in cell aging clocks and AI-powered virtual cells.
The Yamanaka factors (OSKM) are perhaps the most established targets for cell rejuvenation, capable of extending lifespan in mouse models. Unfortunately, these factors were optimized to activate a tumor-inducing pathway, posing safety concerns for therapeutic development.
With its AI-driven target discovery platform and safety-first approach, Shift is overcoming the challenges of the Yamanaka factors.
Ai.
Pipeline.
Pipeline.Shift is developing an AI-driven pipeline of therapeutic candidates for conventional indications with defined regulatory paths that are validated for cellular age reversal.
190
Genes Identified
Shift’s revolutionary discovery platform has identified more than 190 genes, 150 of which reverse cellular aging and 40 that accelerate cellular aging. Shift is now progressing a pipeline of cell rejuvenation assets, initially targeting age-driven hearing loss, liver fibrosis and systemic sclerosis.
Latest News.
Shift Bioscience publishes improved metric calibration framework for robust genetic perturbation modeling using AI Virtual Cells