EVQLV Featured in insideBIGDATA

Apr 8, 2020 | News | 0 comments

Daniel Gigante

Our work with ImmunoPrecise on COVID-19 was covered by insideBIGDATA. They did a fantastic job covering the piece originally published by Columbia Data Science Institute, highlighting a few choice gems. See below.


What our algorithms do is reduce the likelihood of drug-discovery failure in the lab,” he adds. “We fail in the computer as much as possible to reduce the possibility of downstream failure in the laboratory. And that shaves a significant amount of time from laborious and time-consuming work. We are building a company that sits at the frontiers of AI and biotech. We are hard at work accelerating the speed at which healing is discovered and delivered and could not ask for a more fulfilling mission.

Read the entire article here.

0 Comments

Submit a Comment

Your email address will not be published. Required fields are marked *

Large Pharma’s Embrace of Artificial Intelligence

The benefits of computational drug development are well known and accepted by many in the pharmaceutical space. However, since the onset of the global pandemic, consensus went from it being an interesting concept that was almost certainly the future, to something we need implemented as soon as possible. This is one of the few silver linings of the coronavirus outbreak.

The depth, vision and progress of EVQLV

Our CEO, Andrew Satz, recently spoke at Columbia University School of General Studies’ “Alumni in Action.” The subject of his talk was artificial intelligence. One of the questions posed to Andrew was what we were doing outside of coronavirus, along with the long term plans of our company

EVQLV Applies Proprietary AI Technology in Collaboration with Twist Bioscience to Discover and Validate Novel Antibody Therapies

EVQLV, Inc., an artificial intelligence-enabled technology company accelerating biologics discovery, announced today a collaboration with Twist Bioscience Corporation (NASDAQ: TWST), a company enabling customers to succeed through its offering of high-quality synthetic DNA using its silicon platform, to discover novel antibody-based therapies.

EVQLV’s Evolutionary Algorithm Explained

Brett Averso (CTO, EVQLV) and Bhoomika Kumar (SciTech intern, EVQLV) teamed up to provide a high-level overview of how EVQLV’s evolutionary algorithm works.

Andrew Satz on the Talent Finders Podcast

EVQLV’s CEO, Andrew Satz, joined Kerrin Black of the Talent Finders Podcast to discuss his entrepreneurial journey, some of the challenges facing AI for drug discovery, his legacy and much more.

Pin It on Pinterest