CU-2n9g91d: Add back news, demo etc.

README.md

@@ -9,6 +9,28 @@ MedCAT can be used to extract information from Electronic Health Records (EHRs)
 
 Official Docs [here](https://medcat.readthedocs.io/en/latest/)
 
+## News
+- **New Downloader \[15. March 2022\]**: You can now [download](https://uts.nlm.nih.gov/uts/login?service=https://medcat.rosalind.kcl.ac.uk/auth-callback) the latest SNOMED-CT and UMLS model packs via UMLS user authentication.
+- **New Feature and Tutorial \[7. December 2021\]**: [Exploring Electronic Health Records with MedCAT and Neo4j](https://towardsdatascience.com/exploring-electronic-health-records-with-medcat-and-neo4j-f376c03d8eef)
+- **New Minor Release \[20. October 2021\]** Introducing model packs, new faster multiprocessing for large datasets (100M+ documents) and improved MetaCAT.
+- **New Release \[1. August 2021\]**: Upgraded MedCAT to use spaCy v3, new scispaCy models have to be downloaded - all old CDBs (compatble with MedCAT v1) will work without any changes.
+- **New Feature and Tutorial \[8. July 2021\]**: [Integrating 🤗 Transformers with MedCAT for biomedical NER+L](https://towardsdatascience.com/integrating-transformers-with-medcat-for-biomedical-ner-l-8869c76762a)
+- **General \[1. April 2021\]**: MedCAT is upgraded to v1, unforunately this introduces breaking changes with older models (MedCAT v0.4),
+  as well as potential problems with all code that used the MedCAT package. MedCAT v0.4 is available on the legacy
+  branch and will still be supported until 1. July 2021
+  (with respect to potential bug fixes), after it will still be available but not updated anymore.
+- **Paper**: [What’s in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization](https://www.aclweb.org/anthology/2021.naacl-main.382.pdf)
+- ([more...](https://github.com/CogStack/MedCAT/blob/master/media/news.md))
+
+## Demo
+A demo application is available at [MedCAT](https://medcat.rosalind.kcl.ac.uk). This was trained on MIMIC-III and all of SNOMED-CT.
+
+## Tutorials
+A guide on how to use MedCAT is available at [MedCAT Tutorials](https://github.com/CogStack/MedCATtutorials). Read more about MedCAT on [Towards Data Science](https://towardsdatascience.com/medcat-introduction-analyzing-electronic-health-records-e1c420afa13a).
+
+## Available Models
+Available models [here](https://medcat.readthedocs.io/en/latest/main.html#models)
+
 ## Acknowledgements
 Entity extraction was trained on [MedMentions](https://github.com/chanzuckerberg/MedMentions) In total it has ~ 35K entites from UMLS