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.
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.
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.
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.
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.
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.
UCHealth, a nationally-recognized healthcare system based in Colorado, announced that it has partnered with LeanTaaS, the leading lean and predictive analytics company based in Silicon Valley, to improve utilization of its operating rooms.
In this special guest feature, Brian Irwin, VP of Strategy at SHYFT Analytics, takes a look at the three market dynamics driving life sciences organizations to evaluate new data analytics strategies and technologies as they transform into value-based care delivery models.
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 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.