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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!

Explainable AI: The key to Responsibly Adopting AI in Medicine

In this special guest feature, Niv Mizrahi, CTO & Co-Founder of Emedgene, discusses a field of technology that constantly is rising in importance – explainable (or interpretable) AI, and specifically how it has become a key responsibility for adopting AI in medicine. Emedgene is a genomics company using AI to automatically interpret genetic data so that health organizations can scale personalized care to wider populations.

Columbia University DSI Alumni Use Machine Learning to Discover Coronavirus Treatments

Two graduates of the Data Science Institute (DSI) at Columbia University are using computational design to quickly discover treatments for the coronavirus. Andrew Satz and Brett Averso are chief executive officer and chief technology officer, respectively, of EVQLV, a startup creating algorithms capable of computationally generating, screening, and optimizing hundreds of millions of therapeutic antibodies. They apply their technology to discover treatments most likely to help those infected by the virus responsible for COVID-19.

Supercomputers vs Superviruses: Why Tech is Our Best Hope in the Coronavirus Pandemic

In this contributed article, Golnar Pooya, a partner with IBM Digital Strategy practice, and an advisor at 7 Gate Ventures, suggests that in light of the global pandemic, AI gives us an incredible chance to protect life and we must arm it with the information it needs to do so. This outbreak only confirms the position of technology as mankind’s most important tool in protecting global health.

Four Ways AI Can Positively Impact Pharmaceutical Development

In this special guest feature, Updesh Dosanjh, Practice Leader, Technology Solutions for IQVIA, discusses how AI is making its way into pharmacovigilance (the detection, collection, assessment, monitoring, and prevention of adverse effects with pharmaceutical products) platforms and improving efficiencies for pharma companies, in light of the continued growth and proliferation of available data.

Vaccines Are Being Created By AI: Here’s How

In this contributed article, tech blogger Caleb Danziger discusses how medical researchers have begun using AI in a bid to reduce long drug development times and prevent costly failures. Now, these efforts are beginning to produce real results. A team of medical researchers from Australia’s Flinders University have designed an AI that has, for the first time, created a drug entirely by itself.

The Data of Behavior & Neuroplasticity

In this contributed article, Magnolia Potter explains how behavioral science is starting to play an impressive role in data science and vice versa. Many scientists and other healthcare professionals believe big data collection can help identify behavioral trends in society and more easily pinpoint causes. This can lead to greater success in behavioral training and in creating a more effective learning technique to change negative behaviors and alter neuroplasticity.

Using Artificial Intelligence to Track Birds’ Dark-of-Night Migrations

On many evenings during spring and fall migration, tens of millions of birds take flight at sunset and pass over our heads, unseen in the night sky. Though these flights have been recorded for decades by the National Weather Services’ network of constantly scanning weather radars, until recently these data have been mostly out of reach for bird researchers.

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.

Pattern Computer Comes Out of Stealth Mode and Launches Groundbreaking Pattern Discovery Technology

Pattern Computer, Inc., which has developed a proprietary pattern discovery system to uncover valuable insights from vast data sets, announced a pattern computer system and the public launch of its platform technology after being in stealth mode for the past two years. Pattern discovery is an emerging category – an extension of the machine learning field – that distinguishes itself by using both supervised and unsupervised learning.