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Blog, Clinical NLP, Paper

Large language models for biomedicine: foundations, opportunities, challenges, and best practices

April 25, 20240Comments
Satya Sahoo, Joseph Plasek, Hua Xu, Ozlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre , Yanshan Wang J Am Med Inform Assoc, published…
Blog, Clinical NLP

Keynote presentation at the Applied Machine Learning Days (AMLD’24) conference “Clinical AI: from research and development to the bedside” track

March 25, 20240Comments
Prof. Meystre presented a keynote on "Opening the Treasure Trove Chest: AI to Enable Clinical Data Reuse for Research and Care Support" at the Clinical…
Blog

Prof. Meystre new director of the MeDiTech Institute (SUPSI)

October 2, 20230Comments
Since October 2023, Prof. Meystre is the new director of the Institute of Digital Technologies for Personalised Healthcare (MeDiTech) at the University of Applied Sciences…
Blog, CRI, Paper

Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models

April 12, 20230Comments
Stéphane M Meystre, Paul M Heider, Andrew Cates, Grace Bastian, Tara Pittman, Stephanie Gentilin, Teresa J Kelechi BMC Medical Research Methodology volume 23, Article number: 88 (2023), https://doi.org/10.1186/s12874-023-01916-6 Available at:…
Blog

New position as Scientific Director

January 25, 20220Comments
Dr. Meystre is starting a new position as Scientific Director for Data Science, AI and Data Platforms at OnePlanet Research Center, an exciting opportunity to develop…
Blog, Clinical NLP, Paper, Reuse for CDS

Natural Language Processing Enabling COVID-19 Predictive Analytics to Support Data-Driven Patient Advising and Pooled Testing

October 8, 20210Comments
Stéphane M Meystre, Paul M Heider, Youngjun Kim, Matthew Davis, Jihad Obeid, James Madory, Alexander V Alekseyenko J Am Med Inform Assoc. Volume 29, Issue 1, January 2022, Pages 12–21, https://doi.org/10.1093/jamia/ocab186. Available…
Blog, Clinical NLP, Paper

A Hybrid Model for Family History Information Identification and Relation Extraction: Development and Evaluation of an End-to-End Information Extraction System

April 30, 20210Comments
Youngjun Kim, Paul M Heider, Isabel Rh Lally, and Stéphane M Meystre JMIR Med Inform. 2021 Apr 22;9(4):e22797. Available at: https://pubmed.ncbi.nlm.nih.gov/33885370/ and at: https://medinform.jmir.org/2021/4/e22797/
Blog, Clinical NLP, Grant

New PCORI funding for COVID-19 related efforts

October 1, 20200Comments
PCORI awarded our MUSC team partnering with Vanderbilt University funding to develop, test and share a new software application for COVID-19 related information extraction based…
Blog

Dr. Meystre inducted Fellow of AMIA

September 30, 20200Comments
Stephane Meystre was inducted as Fellow of the American Medical Informatics Association (FAMIA), a recognition of the contributions and professional accomplishments of AMIA members who…
Blog

Dr. Meystre elected fellow of IAHSI

August 17, 20200Comments
The International Medical Informatics Association (IMIA) and the International Academy of Health Sciences Informatics (IAHSI) announced the 2020 class of Fellows including Stephane Meystre. The…

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