Pharmaceutical Supply Chain Data is in the Dark Ages: It’s Time to Bring it into the Future

In this contributed article, Nico Ros, Co-founder and CTO of SkyCell, discusses how the industry is crying out for better logistical solutions and needs for better remote monitoring. Disparate data solutions are just not up to the mark anymore – but there is an answer to this problem. Combining simulation data and operational data (SO data) can bridge this visibility gap.

Big Data/COVID-19 News – 6/1/2020

The big data ecosystem has come out strong to help combat the global coronavirus pandemic by announcing new products and services to help fight COVID-19. In this article, I’ve listed a number of the recent announcements along these lines. Kudos to all the vendors listed below, you may just make an important difference in getting the world past these trying times!

Big Data/COVID-19 News – 4/26/2020

The big data ecosystem has come out strong to help combat the global coronavirus pandemic by announcing new products and services to help fight COVID-19. In this article, I’ve listed a number of the recent announcements along these lines. Kudos to all the vendors listed below, you may just make an important difference in getting the world past these trying times!

Big Data’s Unique Role in the Pharmaceutical Supply Chain

In this special guest feature, John Hogan, Senior Vice President of Engineering at TraceLink, discusses the pharmaceutical supply chain, and the challenges it is facing regarding big data and interoperability. Despite past obstacles, technologies like the Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML), and Blockchain are playing a role in the digital transformation happening within the supply chain.

Why Big Data is Critical to the Pharmaceutical Industry

In this special guest feature, Inga Shugalo, a Healthcare Industry Analyst at Itransition, suggests that whether it’s an application for precision medicine, decreasing the failure rates in drug trials, or lowering the cost of research and developing better medicine, big data has a bright future for the pharmaceutical industry.

How Eliminating Data Silos Will Democratize Pharma R&D

In this special guest feature, Gunjan Bhardwaj, Founder and CEO of Innoplexus, discusses how data silos in pharma prevent the latest advancements in machine learning and data analytics from operating at their full potential, how AI and blockchain are transforming incentives in data sharing practices to promote greater transparency, and how companies can leverage open data to drive innovation and lower drug prices.

AI for Pharma R&D – Creating Anti-cancer Drugs Faster, Reducing Process from Years to Days

The costs and process of developing anti-cancer drugs has been an extreme challenge for decades. Today one company, AccutarBio, is harnessing the power of AI to accelerate drug discovery and reform the current “hit-to-lead” drug discovery scheme. The company recently received $15 million in funding (including money from Chinese AI/facial recognition company YITU) and is now partnering with Amgen.

HIMSS 2018: Perspectives on Health Industry use of AI and Machine Learning

The 2018 Healthcare Information and Management Systems Society (HIMSS) Conference & Exhibition, March 5–9, 2018 in Las Vegas, is a big deal for IT related themes centered around the health information industry. We put together a number of compelling commentaries below from a short list of important health information industry vendors. The the focus of the perspectives align with insideBIGDATA’s primary areas of big data, data science, machine learning, AI and deep learning. Enjoy the comments and the conference!

Lexalytics® Radically Simplifies Market Research and Voice of Customer Programs for the Pharmaceutical Industry

Lexalytics®, a leader in cloud and on-prem text analytics solutions, announced the availability of the Pharmaceutical Industry Pack, created to meet the specific needs of market research, social media marketing, customer experience management (CEM) and voice of the customer (VOC) professionals working in the pharmaceutical industry.

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.