medical-literature-AI-hackathon

### 2nd Covid-19 Online Hackathon: Mining Medical Literature using AI

[Kaggle: COVID-19 Open Research Dataset Challenge](https://www.kaggle.com/covid19)

A COVID-19 Open Research Dataset in a machine readable format was released which contains 29,000 scientific articles published in journals and 
on preprint servers to invite experts use AI to discover new insights abaout the virus, its behavior, or possible treatments. 

https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/

### Kaggle Tasks
https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge/tasks

Example Tasks:
1. What is known about transmission, incubation, and environmental stability?
2. What do we know about COVID-19 risk factors?
3. What do we know about vaccines and therapeutics?
4. What has been published about medical care?

### Notebooks
https://www.kaggle.com/tarunpaparaju/covid-19-dataset-gaining-actionable-insights

### Resources
- [The Science Behind the Coronavirus](https://youtu.be/ddlRvqhGdPk)
- [National Center for Biotechnology Information: BioNLP Research](https://github.com/ncbi-nlp)