Active Grants & Collaborations & Students
The Translational Data Science Lab: https://tdslab.nl
- 2024-2025: Phaeton, EUR 150K (LUMC) + EUR 50K (LIACS).
- Pandemic preparedness. Portable platform as a service for crowdsourced and privacy respecting data analysis and modeling.
Financer: ZonMW Modelleren voor Pandemische Paraatheid: een oproep tot innovatie en kennisontwikkeling SA 2023. Remark: ZonMW dossier #10710062310030, grant total: 500K EUR. Researcher(s): Vinkenoog,M.
- 2024-2026: ECOTIP, EUR 130K (LUMC).
- Identifying tipping points of the effects of living environments on ecosyndemics of lifestyle-related illnesses by ML/NLP modelling of a patient segmentation model based on EHR and environmental data. Applicant(s): Kiefte,J., Spruit,M., Vos,R., et al. Remark: grant total: 4.4M EUR. Researcher(s): Muizelaar,H. www.nwo.nl/en/projects/nwa151822151
- 2023-2026: INSAFEDARE, EUR 571K (LUMC).
- Innovative applications of assessment and assurance of data and synthetic data for regulatory decision support. Generation and evaluation of a benchmarking synthetic dataset amenable to the regulatory process, analytical methods for validation of digital health applications, and components for data integration pipelines. Financer(s): Horizon Europe: HORIZON-HLTH-2022-TOOL-11-02: Tools and technologies for a healthy society. Applicant(s): Despotou,G. et al. HEU project #101095661; grant total: 4.8M EUR. Researcher(s): Achterberg,J. & Dijk,B. van 10.3030/101095661
- 2024: EuroQoL-LLM, 1325 EUR (LUMC).
- Applying Large Language Models to Identify EQ-5D Bolt-ons Based on Patient Text Data. Financer: EuroQol Group Seed grant: 1792-SG. Applicant: van den Akker-van Marle,E., Spruit,M., et al. Remark: Grant total: 42K EUR. Researcher(s): Heijdra Suasnabar,J. et al. euroqol.org/research-at-euroqol/ our-research-portfolio/funded-projects/
- 2023-2024: HealthBox, EUR 66,000 (LUMC).
- A personalized, home-based eHealth intervention to treat metabolic syndrome and prevent its complications by ML/NLP modelling of a patient segmentation model based on EHR and environmental data. Applicant(s): Chavannes,N., Atsma,D., Pijl,H., Vos,R., et al. Remark: grant total: 2.5M EUR. Researcher(s): Muizelaar,H. www.nwo.nl/en/projects/kich1gz0321007
- 2021-2024: VIPP, EUR 60K (LUMC).
- Virtual Patients and Population Dataset. Develop a synthetic ELAN dataset to improve teaching data science. Financer(s): LUMC Interprofessional Education (IPE) programme. Applicant(s): Spruit,M., & Szuhai,K. Remark: Project Raamplan Implementatie Artsopleiding (PRIMA) 2020 working group deliverable wrt Theme 5 on Big Data and AI. Researcher(s): Faiq,A. healthcampusdenhaag.nl/nl/project/ virtuele-patient-en-populatie-vipp-dataset/
- 2022-2026: PreProMMF (ULEI)
- Natural Language Processing in Mental Health: Detection, Prediction and Promotion with Multilingual, Multimodal and Federated Techniques. Sponsor: Arab Academy of Science, Technology & Maritime Transport (AAST). Financed as a 60% lecturer - 40% researcher contract. Researcher(s): Khalil,S.
- 2021-2025: Data2Bedside (LUMC)
- Reusing routinely collected data from regional GP offices in ELAN to create a clinical decision support tool to identify disease progression risk levels in Type Two Diabetes Mellitus (T2DM) patients. Sponsor: Kingdom of Saudi Arabia scholarship. Researcher(s): Alfaraj,S.
- 2021-2026: PHA (LUMC)
- Population Health Analytics. Maturity modelling for situational data infrastructure and scenario planning towards appropriate regional intelligence. Sponsor: Q-Consult Zorg. Researcher(s): Roorda,E.
- 2018-2024: PbD (UU)
- Privacy-by-Design. How organisations can demonstrate responsible data use in information systems through Privacy-by-Design. Sponsor: P&O Rijk. Researcher(s): Dijk,F. van
- Thiel,Haike van (In progress). Personalised and realistic training scenarios with artificial patients using AI models in Trauma Care. Civil-Military Centre of Expertise for Trauma Care (CETC).
- Nguyen,Van (Committed). From mobile app to furry social robot: Welzijn.AI (LUMC). Daily supervisor: Bram van Dijk (LUMC).
- Koning,Michael de (Committed). Portable platform-as-a-service for crowdsourced and privacy respecting data analysis and modeling in pandemic response: PHAETON (LUMC/TNO). Daily supervisor: Marcel Haas (LUMC).
- Rivetti,Giulia (Committed). Dutch NLP with English BERT models (LUMC). Daily supervisor: Hielke Muizelaar (LUMC).
- Meng,Maggie (Committed). An evaluation of data analysis techniques in digital health applications. Daily supervisor: Jim Achterberg (LUMC).
- Drougkas,Georgios (25/06/2024). Multimodal Machine Learning for Language/Speech Markers Identification in Mental Health. Spruit,Marco, & Bakker,Erwin (UL). [8.0]
- Rameshchandra,Ramya Tumkur (25/06/2024). Unsupervised machine learning methods to understand the social and psychological effects of prescription opioids. Spruit,Marco, & Baratchi,Mitra (UL). [7.5]
- Tomassen,Floris (05/02/2024). LLM-Based Data Generation techniques for end-to-end models of grammatical error correction applied to Dutch Care Text. Spruit,Marco; Wijnholds,Gijs. (Prime Vision). [8.5]
- Leito, Roderick (08/10/2024). Integration of the EQ5D PROM questionnaire into a natural and unobtrusive conversation using a RASA-driven chatbot. Spruit,Marco & Lefebvre,Armel (UL). [7.5]
- Baghdasaryan, Ruzanna (27/08/2024). Questionnaire-driven Dialogue: Utilizing Large Language Models for Hallucination-free Conversational AI in Elderly Well-being Monitoring. Spruit,Marco & Lefebvre,Armel (UL). [8.5]
- Tanoesemito, Charma (01/03/2024). Reconstructing family relationships using routine primary care Electronic Health Record database. Life Sciences and Technology (LST) programme. Spruit,Marco; Marian Beekman, Niels van den Berg (MOLEPI). [8.0]
- Lelasseux, Maxine (05/02/2024). Analyzing offenses against life data: a machine learning approach on data extracted from the Human Relations Area Files (HRAF) database. Spruit,Marco; Liem,Marieke; Syme,Katharina (FGGA/ISGA). [6.5]