Author: Data4Cure

Data4Cure @ PMWC 2018: Combining systems biology, machine learning and tumor evolution to improve biomarkers for IO

A key challenge in the field of immunotherapy is predicting which patients will respond to IO therapy either as a single agent or in combination with other treatments. Clinical and experimental strategies involve testing expression of individual markers or gene panels, assessing tumor mutation burden and MSI status, and more recently, approaches examining specific tumor…
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PMWC Interview with Data4Cure’s Janusz Dutkowski

In a recent interview featured on the PMWC Blog, our CEO and co-founder, Janusz Dutkowski, Ph.D., considers how machine learning and systems biology are transforming biomedical research and discusses the challenges in pharmaceutical R&D addressed by the Data4Cure Platform. Learn more from the PMWC Blog: PMWC Interview with Janusz Dutkowski, Ph.D., Co-founder & CEO, Data4Cure…
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Data4Cure’s Talk at Big Data in Precision Medicine Conference

Please join us at the Big Data in Precision Medicine Conference in Washington, DC, Oct. 31 – Nov. 1, 2017.  We will present new applications on our Biomedical Intelligence Cloud platform and discuss approaches which apply advanced machine learning and AI algorithms to continuously update biomedical knowledge. Janusz Dutkowski, CEO of Data4Cure, Inc. will give a talk titled Combining data,…
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Global Precision Medicine & Biomarkers Leaders Summit

We are excited to be part of the 4th Global Precision Medicine & Biomarkers Leaders Summit taking place on September 21-22, 2017 in Munich, Germany. Data4Cure will co-host an immunooncology roundtable with Dr. Pallavi Sachdev, Director, Oncology Biomarker Research, Clinical Research, Eisai. Please join us as we discuss optimising immunotherapy combinations using data-driven molecular sub-typing and immune-infiltrate characterization, and explore the…
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Data4Cure featured in GEN

Genetic Engineering & Biotechnology News (GEN) featured Data4Cure, Inc. in the article Machines Learn to Sift Big Biodata by Kristen Slawinski, Ph.D. GEN is the premier biotech publication since its launch in 1981. Here are some highlights from the article: “As more relevant connections are made among biological data, more meaningful conclusions can be made to drive drug discovery…
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