Harnessing AI-powered virtual cells to reverse age-driven disease and aging
Aging is the largest driver of disease
Aging mechanisms are common to the major modern diseases (right). By targeting aging at a cellular level, Shift is developing a common therapeutic approach to age-driven diseases that enables whole-body rejuvenation.


Aging is reversed between generations
Each of us developed from a single cell passed down by our parents, yet we’re not born at our parent’s age and we begin our post-development lives in full health. The biology inherited from our parents is safely scrubbed, renewed and restarted, with evidence of a natural rejuvenation event in the embryo shortly after conception.
Shift has decoupled cell rejuvenation from a tumor-inducing pathway
Yamanaka factors (OSKM) rejuvenate multiple cell types and extend the lifespan of disease models, but are optimised to activate a tumor-inducing pathway, posing safety concerns for therapeutic development.
Shift's AI-powered virtual cells have discovered novel transcription factors that rejuvenate real aged human fibroblasts and maintain their identity (left) whilst decoupling the tumor-inducing pathway (below) even when continuously expressed.
World leaders in AI virtual cells and cell aging clocks
Shift has assembled a world-class team of scientists that bridge machine learning and cell biology.

Senior advisor, Prof University of Toronto, Inventor of the cell simulator single-cell-GPT (scGPT)1

CSO and founder, PhD University of Cambridge, Inventor of the first accurate cell aging clock
Brendan received his PhD in Pharmacology from the University of Cambridge, where his focus was on basic research. First as an intern and then as a founder, Brendan began to prototype single-cell transcriptomic aging clocks, helping forge a new direction for Shift. Since 2021, Brendan has led Shift’s science team in the search for new rejuvenating interventions, with the belief that these discoveries could have a massive impact across healthcare.

Head of ML, MPhil University of Cambridge, Inventor of the most accurate aging clock2


Shift's discovery platform has identified gene families linked to epigenetic aging or rejuvenation
Shift's AI-powered virtual cells and aging clock (AC3) reduce centuries of experiments to weeks, identifying families of genes that accelerate or reverse the aging of real cells. Crucially, some of these genes link to specific age-driven diseases, providing a drug development path within today's regulatory framework.
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Shift Bioscience announces key appointments to advance rejuvenation therapeutics pipeline

Shift Bioscience establishes North American facilities to expand capabilities of AI-powered virtual cell technology
