Participate in the CORD-19 Challenge

In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 29,000 scholarly articles, including over 13,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community. This dataset is intended to mobilize researchers to apply recent advances in natural language processing (NLP) to generate new insights in support of the fight against this infectious disease. The corpus will be updated weekly as new research is published in peer-reviewed publications and archival services like bioRxiv, medRxiv, and others.

External link:

Artificial Intelligence AI NLP coronavirus datascience dataset


In reply to by Eric BADIQUE

Profile picture for user nllretju
Objavio Juan LLORET sub, 28/03/2020 - 11:36

Thanks for the suggestion, Eric.

We have shared a model based on deeplearning with neural networks for identification by medical images (Rx, CT, ultrasound) in the project
Join the AI-ROBOTICS vs COVID-19 initiative of the European AI Alliance

Contribution ID: 0a65765f-b3ec-4b16-9f9e-a9111736c8b6
Date: 28/03/2020 11:09:01

We are working an interdisciplinary team on this. It is very advanced and testing in Ecuador.
May God help us make it work as soon as possible.
We need data to train him urgently. Data with patients who are infected with the Coronavirus and who are not. It is urgent and important to carry out this model.

Best regards, Juan Antonio.

In reply to by Eric BADIQUE

Profile picture for user nllretju
Objavio Juan LLORET pon, 30/03/2020 - 00:43

Hi, Eric again.

The challenge initiative has also been uploaded to the /our repository. (COVID-19 Open Research Dataset Challenge).

Contribution ID: b7ea9107-19d5-49b6-b1fa-c0e0b0618ef6

Regards, Juan Antonio