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Sensyne Health | Life Sciences
About Sensyne
Life Sciences

What we do

1

Build & Protect

We build large datasets of de-identified and anonymised patient data in collaboration with health systems, providing an important source of clinical information for research while safeguarding patient privacy.

2

Curate & Analyse

We curate and analyse the datasets using algorithms.

3

Identify & Discover

We use machine learning to discover new insights that will support life sciences research and development.

The way we work

The Sensyne Life Sciences team combines clinical and data science expertise to develop machine learning technologies applied to ethically sourced de-identified and anonymised patient data analysed from our partnerships with health systems, and clinical trial data from Sensyne’s partnership with Phesi Inc.

To further develop Sensyne’s life sciences capability, we are building SENSIGHT™ a world class pharmaceutical research and development platform to accelerate the speed of data processing, analysis and insight discovery.

We initiated in 2020 our collaboration with Sensyne, in the field of Myeloproliferative Neoplasms and Acute Myeloid Leukaemia. The team has been a great pleasure to work with, they are very professional and met our expectations at all levels. Sensyne was able to overdeliver in terms of data collected, while sticking to the initial timeline. It was a very fruitful collaboration, and thanks to Sensyne capabilities, we have been able to get meaningful clinical information from a large cohort of UK patients.
Aurélie Ducès, Haematology Medical Director, Bristol Myers Squibb UK and Ireland
Life sciences activities focus on applying machine learning across the medicinal R&D process 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 plans 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.

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

Our focus

Drug discovery

  • Target ID
  • Target validation

Clinical trial optimisation

  • Patient stratification
  • Synthetic control arms
  • Analytics combining clinical trial and real world data
  • Event prediction

Market access

  • Health economic outcomes research
  • Outcomes based pricing
  • Post launch research and monitoring

No ordinary job

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

Join our team