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A simple blood test to choose the best treatment for each patient with depression.

Project description

A blood test for antidepressant medication choice

Treatment of major depressive disorder is based on a trial-and-error approach, with patients trying several different medications and often without the desired response. This has a huge socioeconomic impact affecting millions of people who struggle to recover. Funded by the European Innovation Council, the RxMine project introduces a novel platform to assist the search of the best antidepressant for each patient. The process involves the analysis of a patient blood sample to predict the individual response to various medications. It is based on a brain-in-a-dish model that allows high-throughput screening of available drugs and machine learning to identify the most effective choice in a fast and effortless way.

Objective

Major depressive disorder affects around 300M people globally and is the second leading cause of disability, with up to 14 years of life lost per patient and an annual burden of up to 170 billion to the EU. Despite numerous available drugs, 75% of patients do not receive adequate
treatment, 63% try multiple medications, and a third do not respond after two rounds of treatment. This trial-and-error approach is destructive to patients, time-consuming for physicians and expensive to health care systems. RxMine revolutionizes this process by combining innovative stem
cell technology, genetics, neurobiology, high-throughput screening and machine learning to test multiple antidepressants and screen drug effects using a patient-specific brain-in-a-dish model. RxMine identifies the optimal antidepressant for each patient and potentially reduces
hospitalizations by 89%, emergency-room visits by 71% and depression related healthcare costs by 40% with savings up to 6,000 per patient per year.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance

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Call for proposal

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(opens in new window) HORIZON-EIC-2022-ACCELERATOR-01

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Coordinator

GENETIKAPLUS LTD
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 499 000,00
Address
126 YIGAL ALON STREET
6744332 Tel Aviv
Israel

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 3 570 000,00
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