Contract Award

Physiomics PLC
17 September 2024
 

17 September 2024

 

Physiomics plc

("Physiomics" or the "Company")

 

Contract Award

 

Physiomics plc (AIM: PYC), a leading mathematical modelling and data science company supporting the development of new therapeutics and personalised medicine solutions, is pleased to announce that it has been awarded a new contract by an existing, large pharma client. The project involves updating two models previously created for the client with newly generated clinical data. These models are based on the Company's proprietary Virtual Tumour platform and are developed to support dosing and scheduling decisions for the client's oncology combination therapies. The value of the contract is £65k and it is anticipated that it will be completed over the course of the current calendar year. 

 

Dr Peter Sargent, CEO, commented: "We are delighted to have been awarded this new contract with one of our existing clients. This win is testament to the quality and impact of the services we provide and the longevity of our client relationships".  

 

 

Enquiries:

 

Physiomics plc

Dr Peter Sargent, CEO

+44 (0)1235 841575

 

Hybridan LLP (Broker)

Claire Louise Noyce

+44 (0) 203 764 2341

 

Strand Hanson Ltd (NOMAD)

James Dance & James Bellman

+44 (0)20 7409 3494

 

 

 

Notes to Editor

 

About Physiomics

 

Physiomics plc combines cutting edge PKPD and QSP modelling and data science techniques, along with deep biology expertise, to help biotech and pharma companies streamline their drug development journeys.

Our approach is to derive insight from all relevant data in order to de-risk decision making and optimise design research across discovery, pre-clinical and clinical studies.

Through use of bespoke models and our proprietary Virtual Tumour technology, the Physiomics team has informed the development of over 100 commercial projects, over 50 targets and 75 drugs. Clients include Merck KGaA, Astellas, Bicycle Therapeutics, Numab Therapeutics & CRUK.

 

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END
 
 

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Physiomics (PYC)
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