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Physiomics plc (AIM: PYC), a provider of technology-based solutions to predict the effects of cancer treatment regimens, is pleased to announce that it has today posted to shareholders its Annual Report and Accounts for the financial year ended 30 June 2019 together with its Notice of Annual General Meeting (“AGM”). As previously announced on the 30 September 2019, the Company’s AGM will be held at 10.00...

30 Sep

Final Results for the year ended 30 June 2019

Highlights Financial: Total income (revenue and grant income) increased 53% to £783,101 (2018: £512,899) The operating loss decreased 23% to £201,219 (2018 £260,391) The loss after taxation decreased 43% to £104,040 (2018: £183,341) At 30 June 2019, the surplus of shareholders’ funds was £607,914 (30 June 2018: £690,026) Cash and cash equivalents at 30 June 2019 of £405,366 (30 June 2018: £571,869) Click here to read in...

06 Aug

Physiomics named as finalist in 2019 OBN awards

by Jim Millen

in Other News

Physiomics is pleased to announce that has been named as a finalist in the 2019 Oxford Biotech Network awards. See this link for further details https://obn-awards.com/award-finalists-and-sponsors...

05 Aug

Director Dealing

The Company announces that it received notice today that the following Directors acquired the following number of ordinary shares in the Company at the following prices per share. Click here to read in full...

30 Jul

Trading update

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 confirm that, based on its unaudited management accounts for the year ended 30 June 2019, the Company is trading in line with analyst expectations. The Company expects to publish its final audited results for the year ending 30 June 2019 during the...

22 Jul

Holding(s) in Company

TR-1: Standard form for notification of major holdings Click here to read in full....

15 Jul

The Virtual Tumour, part II

in Blog

Written by David Orrell As discussed in the last post, models have two functions – to describe, and to predict. In systems biology, and other areas of science, these are often conflated. We say a model is predictive, when really we mean it is descriptive. But prediction – from the Latin praedicere for “make known beforehand” – is not the same as just reproducing something that...

08 Jul

Agreement with Bicycle and Cancer Research UK