Pharmacovigilance encompasses clinical care optimization

Playing Catch-Up with Data

Personalized medicine has long offered more hype than hope. But as genetic knowledge has multiplied in recent years, researchers—and more importantly, computing tools—have begun...

Algorithm Allows Quick Detection of Harmful Pathogens in Mixed Samples

A research team based at McMaster University in Canada has developed an algorithm that can design more accurate probes to detect infectious disease pathogens in mixed samples and help avoid time consuming bulk sequencing.
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Looking beyond the Hype of Machine Learning in Medicine

AI is starting to make its mark on medicine.
Zephyr applications can display recommendations that are supported by predictive analytics.

Innovator: Biobusiness Sees Clearly through the Cloud

Zephyr Health’s Insight as a Service platform focuses on actionable results for life sciences companies.
The use of big data often depends on computational clouds to provide the processing power and storage

From DNA to Diagnosis without Delay

The world’s first processor expressly designed to perform secondary analysis of next-generation sequencing data is relieving the bottleneck between sequencing and practical application. Setting...
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Big Data’s Big Implications for Cancer Treatments

Data mining unearths pathways and networks that yield clinical gold.
Clinical OMICs Magazine: Volume 1

Translating Next-Gen Sequencing from the Lab to the Clinic: Challenges and Solutions

In this webinar, our presenters will cover several approaches aimed at streamlining the application of genomics data.
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NIH Publishes Finalized Policy on Genomic Data Sharing

The National Institutes of Health has issued a final NIH Genomic Data Sharing (GDS) policy to promote data sharing as a way to speed...
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CSDR Expands into Academic Data-Sharing Collaborations

The website, designed to make patient-level clinical trial data from Big Pharma available to researchers, is now adding academic data
Point mutation, illustration

New Multiplexing Network Helps Better Define Gene Interactions and Their Roles in Rare Diseases

The network was successfully tested for functionality using data from patients with neurological diseases whose underlying genetic defect was already known.