AI guided therapies targeting cell aging
Aging is the largest driver of disease
Aging mechanisms are common to the major modern diseases, and the source of aging is each and every cell.
Targeting aging at a cellular level provides the strongest possible foundation for effective drugs for age-driven diseases and a multi-organ therapeutic with potential to impact Longevity.


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 proprietary aging clock (AC3) and AI-powered virtual cell have overcome this challenge, discovering novel genes that rejuvenate gold-standard epigenetic age in real fibroblasts (left), maintain cell identity (centre, left) and decouple the tumour inducing pathway (below).
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 is progressing 52 cell-rejuvenation targets
Shift's proprietary aging clock (AC3) and virtual cell reduce years of experiments to weeks, identifying 150 genes individually sufficient to reverse the aging of real cells in vitro, and 40 genes individually sufficient to accelerate the age of real cells in vitro (above, left). 52 are progressing to further validation, a subset of which are druggable, link to specific diseases of aging and offer early development paths to complementary partners (above, right).
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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
