Relation Therapeutics, Ltd. uses cutting edge machine learning technology to find unknown relationships between drugs and disease processes. They then generate predictions for novel drug repurposing candidates, with a view to rapidly progressing them through to the clinic.

Relation engages in fundamental model innovation, source unique data and find novel application areas, adapting these methods to unsolved problems in biology. Specifically, Relation identifies and develops the repositioning of therapeutics to improve outcomes for patients with age-related diseases.

Relation’s researchers strive daily to remain ‘bilingual’: equally conversant with the current state-of-the-art in data science and machine learning and with the biology and drug development expertise essential to bring therapeutics to patients in record time.