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Sensyne Health | Discovery Sciences

What we do

1
Build & Protect

We build large datasets of anonymised patient data in collaboration with the NHS, providing a rich source of clinical information while protecting patient privacy.

2
Curate & Analyse

We curate and analyse the datasets using AI algorithms.

3
Identify

We identify patterns using proprietary machine learning and deep learning technologies.

4
Discover

We discover new insights of significant value to patients, clinicians and the life science industry.

The Discovery Sciences Team at Sensyne Health combines clinical and data science expertise to develop machine learning technologies applied to ethically sourced anonymised electronic patient record (EPR) data received from our unique partnership with the NHS.

We use EPR information to create large longitudinal datasets, then develop clinically driven AI technology that analyses and contextualises that information identifying previously unseen patterns and insights that can be used to undertake advanced medical research, improve pharmaceutical development and deliver better patient care.

Paul Drayson, CEO

The current medical discovery system involves interpreting enormous volumes of diverse information. It can be like finding a needle in a haystack, without knowing what a needle is, what a needle looks like or where the haystack is.  We aim to change that.

Paul Drayson
CEO

For NHS organisations

We currently work collaboratively with a number of NHS Trusts in a unique and trusted partnership that drives medical research using real world evidence from large datasets of anonymised patient data. It’s a unique model of working where we ensure the NHS receives a commercial return via equity and a share in revenues as well as making a positive social impact.

Learn more about our NHS partnership approach

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For Life Sciences organisations

In response to specific questions that our Life Sciences partners ask, we work with our own team and clinical experts in the NHS to analyse information about the progression of medical conditions.  This enables pharmaceutical companies to use the results derived from clinical artificial intelligence to develop better-targeted drugs with a higher chance of success.

Learn more about our Life Sciences approach

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What we say

Our thoughts, comments, progress, work in action and where we are talking.

Find our latest news

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No ordinary job

Join our team. We’re looking for people who share our collective passion for solving healthcare’s biggest challenges.

Join the Discovery Team

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The way we work

Using real-world data has a real-world impact.  We use it to:

Improve

Improve

Improve clinical trials by distinguishing specific groups of patients and Identifying sub-sets of responders and non-responders.

Understand

Understand

Understand the mechanism of disease in the real world in order to personalise treatment  and coherently diagnose sufferers of poorly understood diseases.

Predict

Predict

Predict clinical events earlier such as Stroke or heart failure.

Discover

Discover

Discover new treatments faster to address unmet medical needs.

Impact - Using real world evidence

Information based on RWE can provide vital indicators to better prevent, treat and understand the cause and progression of disease. It enables a level of insight and analysis simply not possible to achieve from other research datasets.  It is richer, more extensive and more representative of large patient populations.

Approach - ‘Bedside to bench’

Traditionally, medicinal research starts in the lab.  We take a different approach. From ‘bedside to bench’ deconstructing the classical R&D pipeline model by putting patient data and patient outcomes at the beginning of the drug discovery and development process.

Drug development stages diagram
Drug development stages diagram

Case Studies

Case study
Study on benefits of blood anticoagulants for heart failure patients
January 21, 2020
Case study
Personalising heart failure treatment
October 7, 2019
Case study
Improving stroke prediction
October 7, 2019
CONTACT
Sensyne Health plc
Schrödinger Building,
Heatley Road,
Oxford Science Park,
Oxford, OX4 4GE
info@sensynehealth.com
+44 (0) 330 058 1845
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Contact
Sensyne Health plc
Schrödinger Building,
Heatley Road,
Oxford Science Park,
Oxford, OX4 4GE
Email
info@sensynehealth.com
+44 (0) 330 058 1845
Location
Find us on Google Maps

© 2020 Sensyne Health plc. All rights reserved.

Sensyne Health Group Limited. registered in England and Wales No. 11240986 is a trading company of Sensyne Health plc registered in England and Wales No. 11425451

Registered office: Schrödinger Building, Heatley Road, Oxford Science Park, Oxford, OX4 4GE, United Kingdom.

Note: Not all Sensyne Health products are available in all geographies, for further information contact head office.

In support of the ‘Understanding Patient Data’ initiative, Sensyne Health cite that its “work uses data provided by patients and collected by the NHS as part of their care and support”.   #datasaveslives