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Physiomics participates at NIHR event
Physiomics participates at NIHR event.
About this update from Physiomics Plc
[{"type":"text","content":"\n \nRNS Number : 0568Y Physiomics PLC 03 May 2019 \n\n \n3rd May 2019\nPhysiomics plc \n(\"Physiomics\") or (\"the Company\")\n \n \nPhysiomics participates at NIHR event\n \nPhysiomics plc (AIM: PYC), a provider of technology-based solutions to predict the effects of cancer treatment regimens for the biopharma industry, yesterday participated in the \"SME Dragon's Den\" event jointly organised by the National Institute for Health Research (\"NIHR\") Biomedical Research Centre at The Royal Marsden NHS Foundation Trust, the Institute of Cancer Research and DigitalHealth London Accelerator.\n \nDr Claire Villette and Dr Jim Millen presented for 5 minutes and were then grilled by a panel of over 15 UK-based experts in the field of oncology as well as by patient representatives. The presentation was well-received and the questioning lively and informative. There were no formal \"winners\" at this event and the prize was not cash but rather contact and engagement with some of the country's leading oncology clinicians and researchers. Physiomics will follow up with key participants with a view to garnering feedback, forming partnerships and accessing further data for the purposes of developing and validating its personalised oncology tools.\n \n \n \nEnquiries:\n \nPhysiomics plc \nDr Jim Millen, CEO\n+44 (0)1865 784 980\n \nWH Ireland Limited (NOMAD)\nKaty Mitchell\nJames Sinclair-Ford\n+44 (0) 161 832 2174\n \nHybridan LLP (Broker)\nClaire Louise Noyce\n+44 (0) 203 764 2341\n \nNotes to Editor\n \nThis is an RNS Reach\n \nAbout Physiomics\n \nPhysiomics 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 Physiom...