Blog

Qinsight – The Tool for Creating Actionable Insight

Janet Delicata: Thank you for being here. Today I’d like to talk about your new product Qinsight™. According to the literature, Qinsight™ is the complete package. It’s the bio-specific artificial intelligence product that offers discovery for ALL of Quertle’s content options including patents. That’s more than 40 million documents including more than 10 million full-text documents. It [...]

2017-03-23T16:37:01+00:00 September 29th, 2016|Interview|

Quertle releases Qinsight – a biomedical literature discovery product built on its BioAI artificial intelligence platform

HENDERSON, Nev. – Henderson, Nevada-based Quertle LLC, developer of the first artificial intelligence (AI) biomedical big data platform (BioAI™), has released Qinsight™. The product uses BioAI’s neural networks and other AI methods, along with predictive visual analytics, to enable high-efficiency discovery and insight from biomedical literature. […]

2017-03-23T16:37:01+00:00 September 26th, 2016|News|

Interview – Artificial Intelligence Made Bio-specific

Editor’s Note: This is the first in a series of interviews with Drs. Jeff Saffer and Vicki Burnett, founders of Quertle LLC. Janet Delicata:  Jeff and Vicki. Congratulations on the new release.  This is huge.  It has been reported that the foundation of this release is Artificial Intelligence Technology.  Hence your trademarked term BioAI™.  Why is [...]

2017-03-23T16:37:01+00:00 September 23rd, 2016|Interview|

Quertle releases BioAI – the first biomedical big data and artificial intelligence platform for drug discovery

HENDERSON, Nev. – Quertle LLC, has developed the first artificial intelligence and visual analytics big data (BioAI™) platform for biomedical drug discovery. This platform combines machine learning, neural networks, and other AI methods to improve discovery and insight. […]

2017-03-23T16:37:01+00:00 September 8th, 2016|News|

Searching and Knowledge Don’t Always MeSH

The National Library of Medicine has provided Medical Subject Headings (MeSH) for more than 60 years, with the first official list being published in 1954 (https://www.nlm.nih.gov/mesh/intro_preface.html#pref_hist). This has been an invaluable resource and a critical part of search strategies since computerization of literature began. But, as we discuss in a new whitepaper, new technologies such as [...]

2016-10-07T09:32:02+00:00 June 22nd, 2016|Informational|