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 cell.
Targeting aging at the cellular level provides the strongest possible foundation for effective drugs directed at 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 cancer
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 aging clock (AC3) and virtual cell have overcome this challenge, discovering genes that rejuvenate gold-standard epigenetic age in real fibroblasts (left), maintain fibroblast identity (centre, left) and decouple the tumour inducing pluripotency pathway (below).
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 has uncovered the hidden biology of aging and rejuvenation
Shift's AI powered aging clock (AC3) and virtual cell reduce years of experiments to weeks, identifying 190 genes that individually affect the aging of real cells in vitro. In the UMAP plot shown above, real cells receiving one of ~1500 gene based interventions are clustered according to gene expression similarity and coloured according to change in cellular age (AC3). Shift is building a high novelty gene therapy pipeline and invites partners to help us accelerate the development of assets across age-driven indications (above, right).
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Latest news

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
