Accurate and Actionable AI Powered Risk Predictions
- Comprehensive risk predictions: All prevalent chronic diseases are predicted
- High predictive accuracy
- Klarity provides actionable insights that can power risk assessment, personalized recommendations and health and mortality improvement, e.g. diabetes main features of importance are waist size, alcohol intake, and fresh fruit intake
AI Data Science Team
Ken Towning
Senior Technology adviser
Ken was the CTO of the NHS
Spine Project
Spine was a £12bn NHS technology project aimed at connecting clinicians, patients and local service providers throughout England to a number of essential national services including the Electronic Prescription Service, Summary Care Record, e-Referral Service and Demographics
Oliver Gale-Grant
Senior Scientific Advisor
Practicing NHS doctor specialised in Psychiatry. Active researcher, computational models member of the editorial board of the British Journal of Psychiatry Advances. My interests are mental health, data science and medical communication.
Alex Moore
Senior Data Scientist
Oxford Neuroscience graduate and computation neuroscience (machine learning MSc).
Operating as the lead Data scientist, focused on preventative medicine and personalised medical risk prediction.
Max Bell, MD, PhD
Senior Clinical advisor
Associate Professor, Senior Lecturer,
Head Consultant, ICU, Perioperative
Medicine and Intensive Care
Medicine, Karolinska University
Hospital (Stockholm)
Dr Bell has been and is currently working on several large epidemiological project using Big Data analysis. He is involved in both clinical and academic investigations focusing on personalised medicine; this entails using multiple prediction
Filippo Menolascina, PhD
Senior Scientific advisor
Dr Menolascina is Assistant Professor in Computational Biology and Bioinformatics at the University of Edinburgh, former COO at the Edinburgh Genome Foundry and CSO of Oliba Sr (precision medicine consulting for pharma SME’s).
Previously at Prof. Roman Stocker’s laboratory at MIT where, in collaboration with Prof. Eduardo
Andre Ng
Junior Data Scientist
A first-class master’s graduate in Health Data
Science, with a strong background in data analytics, statistics, and healthcare research. Proficient with R, Python and SQL.