COVID-19 Drug Repurposing Datasets Now Available in Collaboration with Vectorspace AI, Amazon & Microsoft
March 26 2020 - 12:18PM
InvestorsHub NewsWire
COVID-19 Drug Repurposing
Datasets Now Available in Collaboration with Vectorspace AI, Amazon
& Microsoft
SAN FRANCISCO, CA -- March 26, 2020 -- InvestorsHub NewsWire --
Vectorspace AI (VXV), a Natural Language Processing and
Understanding (NLP/NLU) company, announces the availability of
real-time COVID-19 (Coronavirus SARS-CoV-2) drug repurposing
datasets in collaboration with Amazon and Microsoft in connection
with the United States Office of Science
and Technology Policy (OSTP). "One of the most immediate
and impactful applications of AI is in the ability to help
scientists, academics, and technologists find the right information
in a sea of scientific papers to move research faster. We applaud
the OSTP, WHO, NIH and all organizations that are taking a
proactive approach to use the most advanced technology in the fight
against COVID-19," said Dr. Oren Etzioni, Chief Executive Officer
of the Allen Institute for AI.
Every 24 hours, thousands of bioscientific research papers are
published around the world through the National Library of Medicine
(NLM) and other sources including the COVID-19 Open Research Dataset
(CORD-19) composed of scientific literature directly
related to COVID-19, SARS-CoV-2, and the Coronavirus group along
with LitCovid, a curated literature
hub for tracking up-to-date scientific information about the 2019
novel Coronavirus.
Using these and other related data sources, Vectorspace AI
generates real-time updating correlation matrix datasets. These are
designed to extract context-controlled hidden relationships between
genes, proteins, phytochemicals, drug compounds and infectious
diseases such as COVID-19, designed for drug repurposing
(repositioning). The first dataset available includes a focus on
the following approved drug compounds: Alvesco, Ampicillin,
Arbidol, Azilsartan, Azithromycin, Candesartan, Clindamycin,
Daraprim, Favipiravir, Fimasartan, Galidesivir, Hydroxychloroquine,
Interferon a2b, Interferon ß, Irbesartan, Kevzara, Lopinavir,
Losartan , Mefloquine, Olmesartan, Primaquine, Pyrimethamine,
Qualaquin, Remdesivir, Ribavirin, Ritonavir, Saprisartan,
Telmisartan, Valsartan, and Zithromax.
"Our team and community are eager to join the fight against
SARS-CoV-2 and any future viral threats by offering free
subscriptions and VXV token credits granting free access to our
wallet-enabled APIs which generate these kinds of datasets." stated
Kasian Franks, founder, CEO and Chief Visionary Officer of
Vectorspace AI.
Currently, datasets are made available through the Vectorspace
wallet-enabled API free VXV token credits located
here: https://vectorspace.ai/api-covid-19.html
Research institutions and individuals are encouraged to contact
Vectorspace AI via info@vectorspace.ai or by
visiting https://vectorspace.ai for additional
information on how to acquire customized context-controlled
correlation matrix datasets connected to data sources in the area
of infectious diseases and associated therapeutics. Datasets can be
used to augment any other extant datasets or be used on their own
to generate graph networks to visualize hidden relationships.
About Vectorspace AI (vectorspace.ai)
Vectorspace AI focuses on context-controlled NLP/NLU (Natural
Language Processing/Understanding) and feature engineering for
hidden relationship detection in data for the purpose of powering
advanced approaches in Artificial Intelligence (AI) and Machine
Learning (ML). Our platform powers research groups, data vendors,
funds and institutions by generating on-demand NLP/NLU correlation
matrix datasets. We are particularly interested in how we can
engineer machines to trade information with one another or exchange
and transact data in a way that minimizes a selected loss function.
Our objective is to enable any group analyzing data to save time by
testing a hypothesis or running experiments with higher throughput.
This can increase the speed of innovation, novel scientific
breakthroughs and discoveries. For a little more on who we are, see
our latest reddit AMA on r/AskScience. Vectorspace AI
offers NLP/NLU services and alternative datasets consisting of
correlation matrices, context-controlled sentiment scoring and
other automatically engineered feature attributes. These services
are available utilizing the VXV token and VXV wallet-enabled API.
Vectorspace AI is a spin-off from Lawrence Berkeley National Laboratory (LBNL) and
the U.S. Dept. of Energy (DOE). The team holds patents in the area
of hidden relationship discovery.
SOURCE Vectorspace AI
Related Links
vectorspace.ai
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