Dealing with medical entities: Translation, Recognition, Standardisation

After a successful first edition which has drawn more than 100 people, the Healthcare NLP meetup comes back on the 26th of October at PariSanté Campus with an event about extraction, standardisation and translation of medical textual data.
The purpose of the Healthcare NLP meetup is to grow a community of researchers, healthcare professionals, data scientists and developers, both with experience as well as wanting to get acquainted with this field. In this, it aims to foster sharing experience, best practices and expertise in designing and using NLP models for healthcare.Finally, it aims at making public and private actors aware of what use cases these technologies can enable and how they can help make important strides towards interoperability at each step of the patient journey, which is a growing concern among many of these actors.

On the agenda
▶️ 18h45 - Doors Open
💬 19h00 - Talks and Q&A
🥂 20h30 - Cocktail reception

Registration on Eventbrite

Speakers
1️⃣ Addressing the processing of medical textual documents
by Pr. Éric de la Clergerie, NLP researcher at INRIA, who will talk about the Almanach team and its work on the adaptation of the CamemBERT french language model to the medical domain, of the Grobid tool in the context of a collaboration with AP-HP, and finally about the goals of the OncoLab project, which brings together Inria, Owkin, Arkhn and health care facilities to tackle oncologie research.
2️⃣ A Machine Translation Pipeline for Medical Terminologies
by Konstantinos Skianis, founder of BLUAI, a Greek AI company which assists in accelerating AI adoption and incorporating novel NLP technologies. He notably worked on the translation of medical terminology in french with ANS.
3️⃣ Zero shot information extraction for clinical NLP
by Luca Martial Data Scientist at John Snow Labs, the company developing Spark NLP, a major NLP library. He contributes to the licensed library Spark NLP for Healthcare. In this talk, he will tackle how to train models without annotated data in order to detect medical entities and relations between these entities.
The talks will be recorded and available both on live streaming and replay.
Venue
The meetup will take place in the new PariSanté Campus facilities located 10 r. d’Oradour-sur-Glane, 75015 Paris, on October 26th 2022.