Technology Solutions

DNAnexus, Solvebio partner to make genomic data more actionable

Thursday, April 21, 2016

DNAnexus, a cloud-based genome informatics and data management provider, has announced a partnership with SolveBio, a global provider of Genomics Intelligence, to integrate the two platforms and provide seamless access to SolveBio’s curated data and analysis services. Researchers globally will have the ability to move quickly from genomic data analysis to interpretation, freeing up time to focus on generating uniquely actionable biological insights.

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Medrio, Clinartis partner

Thursday, April 21, 2016

Medrio, a Software as a Service (SaaS) company providing cloud-based data management capabilities to clinical researchers, and Clinartis, a CRO providing clinical trial services in the U.S. and Europe, have announced a new partnership under Medrio’s Partner Program. Clinartis and Medrio have cultivated a business relationship through numerous phase I studies for which the CRO has utilized Medrio’s flagship phase I-focused product, m1.

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Finding investigators and patients for faster trials

Friday, April 15, 2016

In the January issue of The CenterWatch Monthly, I wrote about using insurance claims and electronic health records (EHR) to understand patient availability for clinical trials. Combined, these sources can tell you if enough patients meet the criteria, enabling redesign and better planning.

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Certara launches SIVA Toolkit 2.0 for in vitro analysis

Wednesday, April 13, 2016

Certara, a global biosimulation technology-enabled drug development company, has launched the Simcyp In Vitro (Data) Analysis (SIVA) Toolkit 2.0 to assist drug development researchers with the analysis of complex in vitro studies. These studies are used to assess candidate drugs’ metabolism, transport and formulation properties.

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Pfizer, IBM collaboration on Parkinson’s disease care

Monday, April 11, 2016

Pfizer and IBM have announced a first-of-its-kind research collaboration to develop innovative remote monitoring solutions aimed at transforming how clinicians deliver care to patients suffering from Parkinson’s disease. The experimental approach will rely on a system of sensors, mobile devices, and machine learning to provide real-time, around-the-clock disease symptom information to clinicians and researchers. The ultimate goal is to obtain a better understanding of a patient’s disease progression and medication response to help inform treatment decisions and clinical trial design, while also speeding the development of new therapeutic options.

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Medidata acquires Intelemage

Wednesday, April 6, 2016

Medidata, a global provider of cloud-based solutions for clinical research in life sciences, has announced the acquisition of Intelemage, a global pioneer in medical image sharing and workflow management. Medidata will integrate Intelemage’s technology into its SaaS platform, the Medidata Clinical Cloud, offering customers an end-to-end solution to capture, manage and analyze medical imaging data. The transaction was completed in the second quarter of 2016.

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HealthCarePoint launches BlueCloud 2.0 networking technology

Tuesday, April 5, 2016

HealthCarePoint (HCP), a Texas-based healthcare and clinical research networking-technology company founded by patient survivors, has successfully completed global testing of its BlueCloud business model and networking technology and unveiled BlueCloud 2.0. In the past year, thousands of healthcare and clinical research organizations and other stakeholders have connected with BlueCloud 2.0 to help innovate its private, secure and verifiable network.

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Dana-Farber, Ontario Institute join collaborative cancer cloud

Friday, April 1, 2016

The Knight Cancer Institute at Oregon Health & Science University and Intel are expanding participation in the Collaborative Cancer Cloud, a distributed precision medicine analytics platform, to include Dana-Farber Cancer Institute and Ontario Institute for Cancer Research. The institutions will join the OHSU Knight Cancer Institute in leveraging Intel’s technology to securely share and analyze their collectively large amounts of data, while preserving the privacy and security of patient data at each site.

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