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Breaking down the barriers: multi-omics collaboration

23 Apr

translational medicine

Translational science, research and development (R&D) organizations and hospitals are starting to break down the barriers to open data collaboration. Most recently we’ve seen Johnson & Johnson agree on clinical trial data sharing with Yale School of Medicine. Other pharma companies are looking at removing cultural barriers by bringing teams closer together, both in mindset and location. But how easy is it to share information when it comes to multiple different omics data (multi-omics)?

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Clinical trials data: sharing success

28 Aug

Andrew Jack’s recent article in the Financial Times touches on a hot debate across the pharmaceutical industry: should European and US drug companies be required to share clinical trials data with both researchers and competitors? Whilst many pharmaceutical and biotech firms are resisting regulators’ attempts to improve transparency, I would rather concentrate on how these companies can benefit from increased data sharing.

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The Great Genome Gold Rush

28 May

A fascinating New York Times article on how US cancer centers are racing to map patients’ genes has made me think how personalized/precision medicine can be approached successfully. The article refers to an “an arms race within the war on cancer” as major academic medical centers spend and recruit heavily. As the US medical establishment moves towards the routine sequencing of every patient’s genome in the quest for precision medicine, most pundits are predicting a time when whole genome sequencing is ubiquitous throughout health care.

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Breaking down the silos

13 Mar

Exciting news from the US last week. The CommonWell Health Alliance, a not-for-profit trade association, has been formed with the promise of transforming the face of national healthcare. The headline act is to make health records easier to share and five major providers are coming together to create common standards.

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It’s all about the data

16 Jan

Big Data is a Big Topic, fuelled by the impact of low cost genomic sequencing, adoption of electronic medical records and growth in personalized medicine approaches. From research to the clinic, translational medicine depends on properly integrated, managed and analyzed high quality data. This was the theme for the 4th annual IDBS Translational Medicine Symposium on Tuesday December 11th.

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