Examining AI as automated, assistive, analytical, accelerated, or augmented intelligence is a framework for thinking about how to apply these tools to data in ways that are aligned with an organization’s goals. This framework is designed to allow those who do not routinely build or employ AI to avoid the overhyped rhetoric of AI and consider the practical outcomes of employing it.

University at Buffalo Center for Advanced Technology in Big Data and Health Sciences New York City, New York Jun 29, 2021 (Issuewire.com)  - EVQLV, an innovator in developing artificial intelligence to accelerate how biologic therapies reach patients, and...

NEW YORK, February 8, 2021 -- EVQLV, an innovator in developing artificial intelligence to accelerate how biologic therapies reach patients, today announced the closing of a funding round that will be used to advance the company’s R&D efforts, boost development...

NEW YORK, February 1, 2021 -- EVQLV is pleased to announce that Alexander Sonneborn has joined EVQLV to oversee company operations and finances. After an early career in the life sciences, Alexander transitioned to entrepreneurial activities in technology-based...

NEW YORK, January 12, 2021 - EVQLV has submitted one million AI-generated sequences for independent laboratory validation in fulfillment of the second phase of a project with its collaborator. The first phase of the project consisted of 100 antibody sequences based...