Objective
Neuropsychiatric disorders contribute 13% to the global burden of disease and cost the European economy an estimated 789bn EUR a year. PsyOmics is a Cambridge-based biotechnology start-up focused on reducing this burden by providing scientifically-validated solutions that improve the prevention, diagnosis and treatment of psychiatric disorders. This project relates to the first clinical diagnostic that we intend to bring to market, a test to improve the diagnosis of bipolar disorder and major depressive disorder.
It is estimated that 33.4m people within the WHO European region suffer from major depression each year, and around 7m suffer from bipolar disorder. The separation of these two groups for appropriate treatment is very challenging because patients with an underlying bipolar disorder typically present with depressive symptoms that are indistinguishable from those of MDD. The result is that around 40% of all patients with an underlying bipolar disorder are initially misdiagnosed with depression and prescribed antidepressants, rather than mood stabiliser treatments. On average it takes over 7.5 years for the correct diagnosis to be reached.
There is no evidence to suggest that antidepressant monotherapies are effective in treating bipolar disorder and furthermore they are known to lead to an increased risk of anti-depressant induced mania, rapid cycling and suicide attempts among these patients, all of which lead to an increased rate of hospitalisation and healthcare costs.
Our clinical diagnostic will reduce this level of misdiagnosis by enabling GPs and Psychiatrists to efficiently identify those that have an underlying bipolar disorder amongst those that present with depressive symptoms.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health sciencesclinical medicinepsychiatry
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteins
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Programme(s)
Topic(s)
Call for proposal
(opens in new window) H2020-SMEInst-2014-2015
See other projects for this callSub call
H2020-SMEINST-1-2015
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
N1 7GU LONDON
United Kingdom
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.