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