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Next-Generation Discovery

"One of the biggest challenges in medicine and science today is interpretation of the massive amount of biological data being generated" - Craig Venter

Software

Literature-discovery software for ontology-based analysis of biomedical literature using 20+ categories.

Machine Learning

Trained machine learning models to extract predicate-based relationships between subject and object in biomedical literature.

NLP

Natural language processing of over 30 million bomedical documents, 30 databases and 20+ ontologies.

Feature Engineering

Combination of open and closed literature-based discovery models to find non-obvious pathways between drugs, proteins and diseases.

SlideBioXplor was tasked with identifying novel indications for an IL17A inhibitor, Cosentyx, for Novartis. The objective was to identify and prioritize novel indications for further clinical studies in inflammatory diseases, and to incorporate potential signals to explain adverse events. BioXplor analysed the pathogenic pathway of the disease and compared the treatment strategy with competing drug-target pathways in inflammation pathways. BioXplor's team utilized it's biomedical and drug disocvery knowledebase consisting of 250 databases and billions of structured biomedical literature sentences using natural language processing and machine learning models, to prioritize several novel indications based on safety and efficacy, one of which moved into a new clinical trial. Case Study - Indication Expansion for Cosentyx
We are Biomedical Scientists
We are Computer Scientists
We are Software Engineers

Since 2017, we have been developing our drug repositioning / indication expansion solutions in partnerships with leading pharmaceutical companies such as Bayer and Novartis, as well as with leading academic institutes and biotechnology companies, to successfully accelerate their programs at lower cost by applying our data-driven discovery solutions.

Our team has decades of combined experience in computer science, biomedical research, and emerging biotechnology, and the company is backed by UC Berkeley Skydeck, the European Commission and Merck Accelerators, while advisors include a former medical director at Novartis and Gilead as well as the CTO at UC Berkeley.

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30000000

Documents

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150000000000

Sentences

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100

Databases

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150000000

Relationships

FAQs

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Test drive the next generation of scientific discovery - it's in the data!

We offer basic, advanced and premium tier data-driven discovery services for biomedical scientists , drug discovery scientists, clinical scientists and computational scientists. Contact us to explore a new project with us today.

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