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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.

DataRobot Opens Up its Platform for COVID-19 Response Efforts

DataRobot, a leader in enterprise AI, announced it will provide the DataRobot enterprise AI platform free of charge to those interested in using it to help with the COVID-19 virus response effort. In collaboration with Amazon Web Services (AWS), DataRobot’s COVID-19 response program provides free access to DataRobot’s automated machine learning.

Graph Analysis Help for COVID-19 Tracking and Research Efforts

TigerGraph is providing technology assistance to those working to track, analyze and research COVID-19. The company is providing free use of TigerGraph’s graph database technology to those helping to prevent the spread of, and improve the treatment for, Coronavirus worldwide. Local, state and federal agencies, corporate users, as well as non-profits can access the free tier on TigerGraph Cloud to load data and perform advanced analysis using graph algorithms.

Starburst Announces Free Software To Accelerate COVID-19 Data Discovery & Analytics

Starburst announced a free offer aimed at helping healthcare professionals stop the spread of COVID-19. The offer is available for the duration of 2020 and is specifically for universities, hospitals, and healthcare research organizations, including government and non-government organizations (NGOs) that have teams dedicated to analyzing COVID-19 data.

ClosedLoop.ai Announces Release of Free Open Source AI-based Tool to Identify Individuals Vulnerable to Severe Complications of COVID-19

ClosedLoop.ai, Healthcare’s Data Science Platform, announced the release of the COVID-19 Vulnerability Index (CV19 Index) — a free, open-source tool designed to help healthcare organizations identify and protect individuals that are most vulnerable to COVID-19. By releasing the CV19 Index as free and open-source, ClosedLoop aims to distribute this tool as widely and quickly as possible while leveraging the collective knowledge and experience of the open source community to quickly improve the Index.

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.

COVID-19 Dashboard Uses Machine Learning to Track Global Pandemic

Anodot, the company pioneering the autonomous monitoring space, has launched a public service including a machine learning driven analytics dashboard that monitors locally reported COVID-19 cases, and notifies users when a particular region’s numbers change significantly.

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.

Healthcare APIs & Artificial Intelligence: What’s the Big Data Connection?

In this contributed article, freelance human Avery Phillips discusses how healthcare APIs, along with AI, is on the brink of revolutionizing healthcare. However, in order for breakthroughs such as predictive analysis to take place, the connection must be made to big data.