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RAIR Health Limited
Home
About
  • About Us
  • Team
Data
  • Imageomics
  • Ophthalmology
  • Data Safety
Solutions
  • New Data
  • New Insights
  • New Products
Applications
  • Clinical Trials
  • Precision Medicine
  • Basic Research
  • Pathway Improvement
Media and Events
Contact Us
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  • Data
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Data >> Knowledge >> Understanding

Data >> Knowledge >> Understanding Data >> Knowledge >> Understanding Data >> Knowledge >> Understanding Data >> Knowledge >> Understanding

Fuelling the health-tech revolution in AI, precision medicine and clinical trials

Find Out More

Data >> Knowledge >> Understanding

Data >> Knowledge >> Understanding Data >> Knowledge >> Understanding Data >> Knowledge >> Understanding Data >> Knowledge >> Understanding

Fuelling the health-tech revolution in AI, precision medicine and clinical trials

Find Out More

New Knowledge

Real world data (“RWD”) comprises clinical observations, measurements, lab tests, pharmacy records and images etc.


Biotech and health-tech researchers use insights extracted from RWD using AI and advanced statistics to develop new products and services,  to design better clinical trials and to optimise processes or patient pathways. 


However, most RWD cannot be used because it is not easily processed (i.e. handwritten notes and medical images); it is spread across multiple organisations; or those organisations are not equipped to share data safely…


RAIR uses a GDPR-compliant method for linking large amounts of RWD to other data, before using AI to find hidden patterns and associations.  RAIR is initially focusing on (but not limited to) opportunities in the field of ophthalmology.

Find out more

We are moving slowly into an era where Big Data is the starting point, not the end.

Pearl Zhu, Author of "Digital Master"

What we do...

There's a techbio revolution underway in healthcare. It involves the use of real world data, extracted from patient records, to train AI algorithms to do complex medical tasks; to help design better clinical trials; and to ensure that each patient receives the best standard of care.  


But there's a problem: real world data is complex, chaotic and often dispersed across many different organisations.  It can take months or years to secure access to the data required for these applications, and possibly may months more to make it useful.  


Consequently, data scientists struggle to get enough data of sufficient quality, in one place, at the same time, in order see the useful patterns and associations  - the new knowledge - they are looking for.  Therefore, while researchers are drowning in data, they are roaming a knowledge desert.


In response to this problem, RAIR has created a one-stop-shop for data scientists looking to curate high quality real world data for their projects, without complexity and long delays.  RAIR's data is curated from a cohort of almost 5m people and enables researchers to focus on creating proprietary new products, processes and services and worry less about data wrangling.

Ophthalmology

RAIR is initially focussed on ophthalmology. Specialists in this field are particularly reliant on image data. This is attractive because not only do these images contain the hidden traits of possibly hundreds of ophthalmological and systemic diseases, but they can be collected non-invasively and inexpensively.  There will be countless opportunities to use this data in future to enable precision medicine and to streamline clinical trials...  


..and with retinal photographs now possible using an iPhone, products and services based around these images may shift the diagnosis, management and treatment of many chronic diseases from the hospital clinic to the opticians office and, eventually, to the kitchen table.

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New Knowledge has wide variety of applications:

Clinical Trial Feasibility

Clinical Trial Feasibility

Clinical Trial Feasibility

New knowledge helps to inform key go/no-go decisions which arise throughout the product development process including understanding the profile of target patient subpopulations.

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Pathway Improvement

Clinical Trial Feasibility

Clinical Trial Feasibility

New knowledge helps healthcare organisations to benchmark their performance and to identify ways of improving patient pathways.


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AI Products

Clinical Trial Feasibility

Study Design

New knowledge helps developers to spot opportunities for new algorithms which can improve the efficiency or effectiveness of new or existing healthcare products and services.

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Study Design

Precision Medicine

Study Design

New knowledge helps sponsors to understand the dynamics of target populations and to generate information which helps them design smaller, cheaper and more successful clinical trials.


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Precision Medicine

Precision Medicine

Precision Medicine

New knowledge helps identify subgroups of patients who are likely to respond differently to treatment,  or new or synergistic uses for existing drugs or  drug combinations. 

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Basic Research

Precision Medicine

Precision Medicine

New knowledge can help academic data scientists and clinical researchers to create new intellectual property forming the bedrock of understanding on which the new products and services above are built.

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Latest News

June 27, 2023:  RAIR Health Limited, announces it has signed a non-exclusive data license agreement with Royal Cornwall Hospitals NHS Trust ("RCH") focussed on the field of ophthalmology.  RAIR will use advanced data science to extract insights from RCH’s real-world data to help ophthalmologists diagnose diseases earlier; make personalised clinical decisions; help researchers to develop treatments for patients; and free-up more staff time for direct patient care. 

For More News and Events

Our Technology Partners


With offices at tech centres across Europe, Future Processing has expertise in the field of medical software development;  big data engineering and machine/deep learning with particular specialisation in the development of advanced medical and image segmentation algorithms.

RAIR is proud to be an Associate Member of the PathLAKE consortium which comprises some of the nation’s leading digital and computational innovators from NHS and academia. 

Vaticle's Type DB is the knowledge graph engine used to organise and interrogate very large, complex networks of data. Type DB provides the knowledge foundation for cognitive and intelligent (e.g. AI) systems, by providing an intelligent language for modelling, transactions and analytics. 

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RAIR Health Limited

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