COVID-19 Taxila Launched

Collect, curates and organizes COVID-19 research articles

In the context of COVID-19 pandemic, there is an urgent need to empower scientists, doctors and healthcare researchers at the frontline of the fight with access to the dynamic landscape of scientific literature, clinical trials and drug development efforts happening around the world.

Our team has developed the COVID-19-Taxila(https://covid19.taxila.io/) which collects, curates and organizes information on a daily basis from varied sources, including PUBMED, Arxiv, ClinicalTrials.gov, COVID-19 Open Research Datasets and others. It provides an easy-to-search interface for contextual navigation and a suite of analytics modules to enable the scientific community in obtaining actionable insights quickly.

We are providing the platform as a free resource (free user registration) to the community in our collective fight against COVID-19.

Latest publications dashboard
Auto-Tagging for articles, and recommendation for similar articles
Report for selected articles, Tag Trends and Geo Trends etc.
Geo Trends
Covid Scientist — Chemical Network

Taxila is an end-to-end analysis and intelligence platform which combines state-of-the-art natural language processing and natural language understanding (NLP/NLU) algorithms to analyze text in context. This initiate is led by The Systems Biology Institute and SBX Corporation.

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The Systems Biology Institute, Japan

The Systems Biology Institute (SBI), based out of Tokyo, is a non-profit private research institution established in 2000 by Dr.Hiroaki Kitano.