| www | https://marcospruit.nl |
| about | Prof. Data Science & AI for Health at Leiden University |
Today I gave an invited talk on #tdslab's "CatGPT! Welzijn.AI for Mental Health and Wellbeing in Older People" at the ZonMW Symposium "AI & me: Aligning Values in mental health. AI chatbots for people with severe mental illness" in the very nice venue Zalen van Zeven in Utrecht.
https://marcospruit.nl/talks/2026%200120%20catgpt.ppsx
https://www.zonmw.nl/nl/agenda/ai-and-me-aligning-values-mental-health
As an early Christmas present, the UMCNL workgroup Data in the Region (led by UMCG) has been awarded a 1.4M EUR Open Science Infrastructure grant on Improving availability, access, and usage of socio-medical data through unified governance - for researchers, health professionals, policymakers, and citizens.
#tdslab leads WP3 on designing the unified governance framework for socio-medical data sharing across regional hubs and data competence centers (DCCs).
#tdslab's Ian Shen defended his dissertation "Healthcare Information System Engineering: AI Technologies and Open Source Approaches" very successfully! Ian focused on the development of Healthcare Information Systems (HIS) using Machine Learning (ML) and Natural Language Processing (NLP) techniques that address a number of issues in healthcare. Furthermore, Ian conducted investigations on how to improve HIS engineering with Open Source methodology. #LeidenUniversity
Well done, Ian👍🎓
Meet our Project Partner: "The #tdslab operates from Leiden University Medical Center (LUMC) [... which] brings invaluable knowledge and experience in translating data science innovations into digital health solutions to the INSAFEDARE project. This includes crucial contributions to data integration, synthetic data generation and validation, and the development and validation of digital health tools."
Tallinn, Estonia, 8-9 October - The UNCAN-Connect project officially launched! Funded by the Horizon Europe Research and Innovation programme, the €30 million project brings together 53 partner organizations from 19 countries to co-develop UNCAN.eu, a decentralized collaborative platform enabling secure, ethical, and interoperable access to cancer data. We primarily target six cancer types - paediatric, lymphoid, pancreatic, ovarian, lung, and prostate cancer.
One used 3D cell models to study colorectal cancer, while the other used machine learning for more efficient blood donation. For these achievements, Marieke Vinkenoog and Simon Christian Hansmann were awarded the Krijn Rietveld Memorial Innovation Award on Tuesday 2 September.
This interview was published on the Leiden University news pages today, as the 5-years-long, 53 partners, 30M EUR Horizon Europe #UNCAN-Connect project starts! Kiana, Armel and myself will be working on a Europe PMC dataset discovery facility and AI model observatory, among others. #tdslab
The more data from cancer research we pool, the better we can search for new treatments. But how can we keep patient data safe when sharing it? Leiden researchers will tackle this challenge in a major European project.
Press Release #1!
Funded by the European Union’s Horizon Europe Programme for Research and Innovation (2021-2027), the UNCAN-Connect project (Decentralized Collaborative Network for Advancing Cancer Research and Innovation) addresses the HORIZON-MISS-2024-CANCER-01 Call. The €30 million project will start on Sept 1, 2025, and is coordinated by the University of Tartu in Estonia. UNCAN-Connect brings together a strong multidisciplinary consortium of 53 organizationsm, including #tdslab #liacs 👍
This week the UNA Europa Summer School 2025 --Bridging Disciplines for One Health Solutions-- is taking place at the Freie Universität Berlin.
I gave an elaborate interactive talk on Translational Data Science for One Health: Getting Things Done! by discussing various Health case studies employing ML, NLP, GenAI and AutoML, to a selective group of 40 ambitious PhD students from a wide range of disciplines👍 And introduced them to Vibe Coding😁🙃
The sixth meeting of the Synthetic Data Knowledge Network took place on Tuesday 3 June at the Dutch Healthcare Authority (NZa) in Utrecht. #tdslab was well represented again! Jim gave an update on our SENSYN and INSAFEDARE projects on synthetic data titeld “Synthetic health data generation in translational data science”, whereas @harcel participated in the panel revolving around synthetic data privacy challenges.
[1] https://marcospruit.nl/talks/2025%200603%20tds-synth.ppsx
[2] https://dutchhomicide.streamlit.app/
