Today, Philips has announced the launch of Xplore, a web-based image and data management platform that will help pharma and academic researchers speed up drug research and biomarker discovery through enhanced integration, visualization and analytics tools. Xplore v4.0 will be available commercially in July 2017. Customers have the option to purchase the basic package or with custom additions including a dedicated TMA module for enabling faster and streamlined research.As the industry continues
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University of Michigan, Tempus Partner on Personalized Breast Cancer Medicine Initiative
Breast cancer is the most common non-skin cancer and the second leading cause of cancer-related death in women. In 2017, it is estimated that more than 250,000 U.S. women will be diagnosed with new cases of invasive breast cancer. That’s why the University of Michigan Comprehensive Cancer Center has partnered with Tempus on a personalized cancer medicine initiative aimed providing most effective care for individuals diagnosed with breast cancer.As part of the initiative, Tempus will use
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NantCare Unveils Solutions to Support CMS Oncology Care Model
NantCare, a member of the NantWorks will be providing community oncology practices with solutions and resources that will help these practices comply with the administrative and clinical requirements put forth by the CMS’ new Oncology Care Model (OCM). Typically only available at large cancer institutions, NantCare will provide access to clinical trials through facilitation of participation in Cancer MoonShot 2020’s QUILT Trials, eliminating the need for patients to travel to major cancer
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Mount Sinai Researchers Crowdsource Gene Expression Data for Drug & Target Discovery
Researchers at the Icahn School of Medicine at Mount Sinai have crowdsourced the annotation and analysis of a large number of gene expression profiles from the National Center for Biotechnology Information’s (NCBI) Gene Expression Omnibus (GEO). For the project, more than 70 volunteers from 25 countries helped Mount Sinai researchers analyze the data, enabling the identification of new associations between genes, diseases, and drugs – something that a smaller number of unaided researchers, or an
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