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Merck to co-lead new oncology big data alliance

Will work with Project Data Sphere to improve cancer care

Merck

Germany’s Merck is to jointly lead a big data alliance that aims to accelerate the discovery, development and delivery of new approaches in cancer care.

Alongside the not-for-profit Project Data Sphere, Merck will take the helm of the Global Oncology Big Data Alliance (GOBDA), a three-year project that hopes to better define personalised treatment options and help predict treatment outcomes.

Belén Garijo, Merck’s healthcare CEO, said: “The ultimate goal of our alliance with Project Data Sphere is to unleash the power of big data to bring value to cancer patients.

Merck is deeply committed to investing in initiatives that push the boundaries of cancer research, that we hope will accelerate the discovery, development and delivery of innovative treatments to all who need it.”

Its partner, Project Data Sphere, is an initiative of the CEO Roundtable on Cancer, a non-profit corporation founded by former US president George HW Bush in 2001 that supports oncology research.

Through the GOBDA initiative the two will work on expanding access to de-identified patient data sets in order to improve analytical capabilities and build a registry of data.

Dr Martin Murphy, CEO of Project Data Sphere, said: “Big data is changing the face of healthcare as we know it, and advances in our ability to collect data, share and analyse it has already led to ground-breaking work.

“The joint force of Merck and Project Data Sphere will aim to connect and empower a truly global oncology community with these big data and analytical capabilities. We are excited about the Global Oncology Big Data Alliance initiative and the continuing engagement of a diverse community focused on finding solutions for cancer patients.”

Project Data Sphere’s existing digital platform already contains clinical trial data from almost 100,000 patients.

The GOBDA will expand this platform to include rare tumour trial, experimental arm and real-world patient data, looking to combine it with big data analytics in order to optimise clinical trials.

18th September 2017

From: Research

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