Investor News / RNS

Physiomics plc (AIM: PYC), the Oxford, UK based  systems biology company, is pleased to announce that it has signed a further agreement with Eli Lilly and Company ('Lilly'), the global pharmaceutical company, to perform two new projects for in silico simulations in the field of oncology.  The projects involve predicting the outcomes of proposed regimens for two Lilly candidate compounds in combination with other drugs. Read...

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Physiomics Plc (AIM: PYC), the Oxford, UK based systems biology company, is pleased to announce that it has signed a collaborative agreement (“Agreement”) with a wholly owned subsidiary of ValiRx plc (AIM: VAL), ValiPharma Limited, a life science company with a focus on cancer diagnostics and therapeutics for personalized medicine, relating to the further development and accelerated progress of VAL201, ValiPharma’s anti-cancer compound. Read more...

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The Company announces that it has raised £600,000 from the issue of 120,000,000 new ordinary shares of 0.04p each ("Ordinary Shares") at a price of 0.5p per share, by way of a placing through WH Ireland Limited (the "Placing"). Application has been made for the new Ordinary Shares to be admitted to trading on AIM and dealings are expected to commence on 12 April 2011. Read...

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Physiomics (AIM: PYC), the Oxford, UK based systems biology company, is pleased to announce that positive results have been generated in a pre-clinical in-vivo study into breast cancer based on the Company’s “Virtual Tumour”  model predictions. The directors believe these results provide further validation as to the predictive capability of the Company’s technology. Read more...

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Physiomics (AIM: PYC), the Oxford, UK based systems biology company,is pleased to announce that the Company together with Green Biologics Limited (GBL) and North Energy Associates Limited has been awarded a total grant for £268,000 from the Carbon Trust for a project to demonstrate an Advanced Fermentation Process for Butanol. Read more...

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Physiomics have validated their Virtual Tumour model in single-blind experiments with a major pharma company. The model successfully predicted the outcome of two drug combination xenograft studies. The results are presented in an article for Innovations in Pharmaceutical Technology (June issue)....

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