Interview of Stephane Meystre published by Ticino Science (in Italian), developing the central concept of the MeDiTech Institute strategy: “P4 Health” (preventive, predictive, personalized, participative)...
Ticino Welcome interview offering a good overview of the MeDiTech Institute activities (in Italian): https://ticinowelcome.ch/banche-e-imprese/formazione-universita-e-ricerca/supsi-intelligenza-artificiale-lunga-vita-in-salute/
Paul Heider, Stéphane Meystre J Med Internet Res 2024;26:e55676, doi: 10.2196/55676, PMID: 38805692 Available at: https://www.jmir.org/2024/1/e55676
Satya Sahoo, Joseph Plasek, Hua Xu, Ozlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre , Yanshan Wang J Am Med Inform Assoc, published online Apr 24, 2024, https://doi.org/10.1093/jamia/ocae074 Available at...
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 AI: from research and development to the bedside track during the AMLD’24...
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 and Arts of Southern Switzerland (SUPSI) in Lugano, Switzerland. He...
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...
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 a research strategy for AI, data science and data platforms and pursue novel...
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...
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/
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 on the same new Natural Language Processing (NLP) methods to...
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 apply informatics skills and knowledge to their practice –...
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 IAHSI serves as an honor society that recognizes...
Our paper on “A Comparative Analysis of Speed and Accuracy for Three Off-the-Shelf De-Identification Tools” has been awarded the Data Science Best Paper Award at the AMIA 2020 Informatics Summit.
TBIC team members will present some of our work at the AMIA 2020 Virtual Informatics Summit (program here). Paul Heider will present “A Comparative Analysis of Speed and Accuracy for Three Off-the-Shelf De-Identification Tools” on...
Stephane Meystre was invited to the 2019 HealTAC conference as keynote speaker. The conference took place in Cardiff, UK on April 23-25 2019. The keynote address focused on “Clinical Trials and Patients Automated Matchmaking.”
Insufficient patient enrollment in clinical trials remains a serious and costly problem and is often considered the most critical issue to solve for the clinical trials community. One potential barrier to enrollment is the difficulty to...
NLP development and evaluation requires tools to compare annotations, analyze differences, and compute accuracy metrics. None of the few existing tools allows consuming the output of any NLP system, comparing it with reference annotations in...
Our interactive panel at the AMIA annual symposium encountered great success and active participation by the audience. The audience experience with automatic text de-identification we limited, based on their feed-back: Presenters included...
Kim, Y., Heider, P., & Meystre, S. M. (2018). Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. AMIA Annu Symp Proc. 663–672.