Project description
A pioneering 'discovery support' platform mines words and data to identify critical links
Scientific discovery is rarely the result of a serendipitous light bulb, and more a result of analyses of tremendous amounts of literature and data in interdisciplinary fields. BIOXPLOR is slashing the time and cost of discovery research and clinical trials and significantly augmenting success with its virtual experimental AI platform. It combines natural language processing and machine learning to accelerate data interpretation from unstructured literature (millions of full-text papers, clinical trials and more) and structured data (such as proprietary databases). A few of the myriad tasks the platform accomplishes include generating hypotheses and ranking their likelihood of success, investigating interrelationships among diseases, genetics and drugs, predicting novel indications for existing drugs, and adverse events for novel indications.
Objective
BioXplor’s AI/Cognitive Software Platform accelerates and greatly reduces the cost of discovery research and clinical trials, with a primary focus on rare and inflammatory diseases data. The technology has shown a 5-25x reduction in time and 70% cost savings in pilots so far. (TLR stage 6 &7 tests in 5x Biotech and Pharma companies).
BioXplor has achieved the Seal of Excellence for our Phase I application in March 2019 (score 13.5) and November 2018 (score 13.09) submissions. Last year, we have been completed acceleration programs at UC Berkeley’s SkyDeck and at Merck, and since then significant progress in building the platform to TLR stage 7 and acquiring new customers and revenue. The platform has been successfully used in tests with 5x Pharma and biotech companies (Merck, Bayer, Novartis, Abcam, EdemedX), and we have 5 new leads, for our platform for Discovery applications (antibodies, recombinant proteins, biomarker discovery, immunoassays, drug target ID) and Clinical applications (indication expansion, super-responder ID for drug-repositioning, and patient stratification for Biosimilars, all in inflammation projects with Biotech and Pharma). The current submission is aimed towards bringing BioXplor’s Platform to TLR stage 8, and deploying the our fully tested solution in operational environments at Pharma, Biotech and Academic Research Institutes, for which we are already negotiating pre-orders including 3 year multiyear contracts and 5-10 year partnerships. We have since partnered UC Berkeley, gained access to clinical trials patient data from a major pharma, become a discovery forum member with the 100K Genomes Project, and been selected as a consortium partner for an EU project in the oncology space. We have built a pipeline of EUR750k, with 2019 revenues projected at EUR500k and project revenues of $2M by 2021. We have been requested to deliver the solution to manage 15-20 clinical trials (secondary use of data) for a Top 2 Pharma company
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences basic medicine pharmacology and pharmacy drug discovery
- natural sciences computer and information sciences software
- medical and health sciences health sciences inflammatory diseases
- medical and health sciences clinical medicine oncology
- medical and health sciences basic medicine neurology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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.
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.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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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.
Dublin 4 Dublin
Ireland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.