Conference attendance and presentation

30th April 2019

Physiomics plc

("Physiomics") or ("the Company")

Conference attendance and presentation

Physiomics presents at the BioTrinity 2019 meeting in London

Physiomics plc (AIM: PYC), a provider of technology-based solutions to predict the effects of cancer treatment regimens for the biopharma industry, is pleased to announce that it presented today at the BioTrinity 2019 annual conference in London. The presentation is available on the "resources" section of our website here https://www.physiomics.co.uk/wp-content/uploads/2019/04/Physiomics-Presentation-Biotrinity-2019.pdf.

The Company also took the opportunity to meet with a number of existing and potential new clients as well as to keep up to date with the latest in oncology drug development.

Enquiries:

Physiomics plc

Dr Jim Millen, CEO

+44 (0)1865 784 980

WH Ireland Limited (NOMAD)

Katy Mitchell

James Sinclair-Ford

+44 (0) 161 832 2174

Hybridan LLP (Broker)

Claire Louise Noyce

+44 (0) 203 764 2341

Notes to Editor

This is an RNS Reach

About Physiomics

Physiomics plc (AIM: PYC) is a provider of technology-based solutions to predict the effects of cancer treatment regimens for the biopharma industry. The Company's Virtual Tumour™ technology uses computer modelling to predict the effects of cancer drugs and treatments to improve the success rate of drug discovery and development projects while reducing time and cost. The predictive capability of Virtual Tumour™ has been confirmed by over 70 projects, involving over 25 targets and 60 drugs, and has worked with clients such as Merck KGaA, Merck & Co, Bayer and Lilly.

Based in Oxford UK, the Company works with clients worldwide to support their pre-clinical and clinical oncology development programs. Its team of scientists and computer modelling experts provide bespoke solutions encompassing data, analytics and insight.

Physiomics senior management has academic and commercial expertise, including over 90 years collectively of working in oncology and/or computational biology and over 100 publications in peer reviewed journals.