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The Impact of IoT on Healthcare and 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. This segment focuses on the impact of IoT on healthcare and life sciences.

Distributed System Architectures for Healthcare and 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. This segment focuses on the use of distributed system architectures – Hadoop and Spark.

The Rise of Deep Learning for Healthcare and 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. This segment focuses on the rise of deep learning.

UCHealth Improves Surgeons’ Utilization of Operating Rooms with Machine Learning Technology

UCHealth announced its inpatient operating room (OR) utilization at University of Colorado Hospital has seen a 16 percent increase for the blocks exchanged through mobile block swaps, in just three months with the launch of smart block scheduling based on predictive analytics.

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.

Finding and Treating Sufferers of Rare Diseases: Big Data Techniques at Work

In this special guest feature, Dr. Ritu Chadha, IEEE Senior member, Executive Director at Vencore Labs, explains one commercial application of machine learning and information theoretics, among other techniques, to big data to reduce human suffering.

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.

From EHR to Connected Health Technologies

In this special guest feature, Nathan Williams, Business Consulting Senior Manager at Sapient, discusses the new set of interoperable technologies around connected health and big data analytics that are emerging as future sources of competitive advantage for health providers.

Big Data and the Fight to Eradicate Poverty

In this special guest feature, Nitin Donde, CEO of Talena, Inc., discusses how the business of Big Data impact the economic development front, especially as it relates to poverty alleviation.