Pharmaceutical companies adopt knowledge graphs to drive R&D (videos from PMWC 2020)

We recently joined forces with the Precision Medicine World Conference to organize a session on semantic knowledge graphs in drug discovery and clinical trials. The session focused on how pharmaceutical and biotech companies are implementing new interpretable semantic AI technologies (combining machine learning and knowledge graphs) to continuously update knowledge based on vast amounts of…
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Data4Cure at PMWC 2020

Join us at the 2020 Precision Medicine World Conference (PMWC)

Data4Cure is thrilled to be part of this year’s Precision Medicine World Conference (PMWC), the largest annual conference dedicated to precision medicine. PMWC’s mission is to bring together recognized leaders, top global researchers, medical professionals, and innovators across healthcare and biotechnology sectors to showcase practical content in an effort to accelerate the development and spread…
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Data4Cure in Drug Information Association Global Forum

In the News: Drug Information Association’s Magazine

Check out the July 2019 issue of the Drug Information Association (DIA) Digital Forum Magazine for our own article on Using Semantic AI In Biomedicine! DIA’s Magazine offers expert coverage of the discovery, development, regulation, surveillance, and marketing of healthcare products. Janusz Dutkowski, Ph.D., CEO at Data4Cure was invited to contribute a piece on combining…
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the 2019 Annual Meeting of the American Association for Cancer Research (AACR)

The 2019 Meeting of the American Association for Cancer Research (AACR)

Data4Cure was excited to be part of the 2019 Annual Meeting of the American Association for Cancer Research (AACR), the world’s oldest and largest professional association that focuses on cancer research. As part of the Session on Late-Breaking Research: Bioinformatics, Convergence Science, and Systems Biology, Data4Cure announced its new resource called the Cancer Subtype Ontology (CSO) which…
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Mapping immunotherapy resistance pathways with biomedically-informed AI [Data4Cure @ PMWC 2019]

Despite the groundbreaking success of immune checkpoint inhibitor (ICI) therapies in hard-to-treat cancers, still only a fraction of patients show long-term clinical benefit. With the rapidly accumulating molecular, pathologic and clinical data from clinical trials and cancer cohorts, the question is how to best leverage these data to identify better biomarkers of ICI drug response,…
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