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insideBIGDATA Guide to Healthcare & Life Sciences

The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. The guide provides an overview of the utilization of big data technologies as an emerging discipline in healthcare and life sciences. It explores the characteristics of this business strategy and the benefits of leveraging big data technologies within these sectors. It also touches on the challenges and future directions of big data and analytics in the healthcare and life sciences industries.

Adding Security and More to Intel® Enterprise Edition for Lustre* Software version 3.0

Intel Enterprise Edition for Lustre* Software has taken a leap toward greater enterprise capabilities and improved features for HPC with release of version 3.0. This latest version includes new security enhancements, dynamic LNET configuration support, ZFS snapshots, and other features asked for by the HPC community inside and outside the enterprise. Additionally, it adds the Intel Omni-Path Architecture drivers.

Big Pharma Finds Antidote to Big Data Chaos

In this special guest feature, Sagar Anisingaraju, Chief Strategy Officer at Saama, discusses how new approaches to big data analytics are helping the pharmaceutical industry address major shifts toward value-based-care.

Deep Learning Applied to Drug Discovery and Repurposing

In a recently accepted manuscript titled “Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data”, scientists from Insilico Medicine, Inc located at the Emerging Technology Centers at Johns Hopkins University in collaboration with Datalytic Solutions and Mind Research Network presented a novel approach applying deep neural networks (DNNs) to predict pharmacologic properties of many drugs.

Corralling Clinical Trial Data: The Secret to Speeding Life-Saving Research

In this special guest feature, Rani Hublou, Chief Product Officer at Comprehend, provides her views on why pharmaceutical data is such a sticking point for the R&D process.

Arterys Continues to Apply Deep Learning to Transform Medical Imaging

Arterys Inc., a privately-held company dedicated to deep learning medical imaging technology, continues to advance improved imaging capabilities bringing artificial intelligence called deep learning to the healthcare field, beginning with the heart.

New AWS Public Data Set – 3000 Rice Genome

You can now access the genome sequence data of 3,024 rice varieties that have been aligned and analyzed against five different reference genomes as an AWS Public Data Set. The data contains over 30 million genetic variations that span across all known and predicted rice genes, as well as potential regulatory regions surrounding these genes.

Sinequa Selected by UCB to Reduce Time and Cost of Searching Clinical Trial Data

Sinequa, a leader in real-time Big Data search and analytics, today announced that UCB has selected the Sinequa Big Data Search & Analytics Platform to speed vital information discovery of its clinical trial file share.

Station X Accelerates Pace of Genome Interpretation With Qubole

Qubole, the big data-as-a-service company, announced that Station X, a leading developer of technologies that make large-scale human genome management and analysis easier, is using Presto on Qubole’s cloud-based big data platform to power GenePool™, a powerful software-as-a-service solution for real-time analytics of genomic and medical information.

Analytics Across the Ecosystem – A Prescription for Optimizing Healthcare Outcomes

This executive report is based on an in-depth study by the IBM Institute for Business Value research team. It looks at the current state of analytics across the healthcare ecosystem, including how organizations are implementing analytics strategies.