Clinical Data Science Maastricht

𝗚𝗥𝗢𝗪-𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗜𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗲 𝗳𝗼𝗿 𝗢𝗻𝗰𝗼𝗹𝗼𝗴𝘆 𝗮𝗻𝗱 𝗥𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 Kankeronderzoekfonds Limburg (𝗞𝗢𝗙𝗟) 𝗮𝗿𝗲 𝗲𝘅𝗰𝗶𝘁𝗲𝗱 𝘁𝗼 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲 𝘁𝗵𝗲 𝘄𝗶𝗻𝗻𝗲𝗿𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗞𝗢𝗙𝗟 𝘁𝗿𝗮𝘃𝗲𝗹 𝗳𝗲𝗹𝗹𝗼𝘄𝘀𝗵𝗶𝗽 𝗳𝗼𝗿 𝗣𝗵𝗗-𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗽𝗼𝘀𝘁𝗱𝗼𝗰𝘀.🏆 👉Varsha Gouthamchand (Clinical Data Science) is focusing on transforming H&N clinical data into F.A.I.R. (Findable, Accessible, Interoperable, and Reusable) data and enhancing data privacy in federated learning. Varsha will be visiting the Università Cattolica del Sacro Cuore in Italy. 👉Corentin Guérendel (Radiology) is focusing on multi-modal AI for personalized treatment of esophageal cancer. Corentin will be visiting the Memorial Sloan Kettering Cancer Center in New York. 𝗕𝗼𝘁𝗵 𝗣𝗵𝗗-𝗰𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲𝘀 𝘄𝗶𝗹𝗹 𝘀𝘁𝗮𝗿𝘁 𝘁𝗵𝗲𝗶𝗿 𝗳𝗲𝗹𝗹𝗼𝘄𝘀𝗵𝗶𝗽 𝗶𝗻 𝘁𝗵𝗲 𝗳𝗮𝗹𝗹 𝗼𝗳 𝟮𝟬𝟮𝟰. 𝗧𝗵𝗲 𝗞𝗢𝗙𝗟 𝘁𝗿𝗮𝘃𝗲𝗹 𝗳𝗲𝗹𝗹𝗼𝘄𝘀𝗵𝗶𝗽 𝗮𝗶𝗺𝘀 𝘁𝗼 𝘀𝘁𝗶𝗺𝘂𝗹𝗮𝘁𝗲 𝗮𝗻𝗱 𝗳𝗮𝗰𝗶𝗹𝗶𝘁𝗮𝘁𝗲 𝘁𝗮𝗹𝗲𝗻𝘁𝗲𝗱 𝘆𝗼𝘂𝗻𝗴 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 𝘁𝗼 𝗼𝗯𝘁𝗮𝗶𝗻 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝗻 𝗮 𝗿𝗲𝗻𝗼𝘄𝗻𝗲𝗱 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗮𝗻𝗰𝗲𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗲. 𝗖𝗼𝗻𝗴𝗿𝗮𝘁𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗯𝗼𝘁𝗵 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀 𝗮𝗻𝗱 𝘄𝗲 𝗹𝗼𝗼𝗸 𝗳𝗼𝗿𝘄𝗮𝗿𝗱 𝘁𝗼 𝗵𝗲𝗮𝗿𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝘆𝗼𝘂𝗿 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀!

Synthetic data: a dangerous sense of certainty Synthetic data is information generated by algorithms trained on existing data sets obtained through real world data gathering. The generated data has similar statistical properties and can augment or diversify the original data sets. This is useful for validating mathematical models, technical prototyping, or training machine-learning models. While very promising, synthetic data comes with serious ethical and practical concerns. Dani Shanley and Joshi Hogenboom reflect on synthetic data, the pains and gains of interdisciplinarity, and why AI likely won’t release us from having to study the world we live in. Read the article on the UM website: https://lnkd.in/ecF9ZEYM #SyntheticData #AI #Research

🚀 PhD Opportunity in AI for Inflammatory Bowel Disease Treatment 🚀 Are you passionate about harnessing the power of artificial intelligence to revolutionize healthcare? We are seeking a talented PhD student to spearhead our efforts in data curation and subsequent development and validation of AI for Inflammatory Bowel Disease (IBD) treatment decisions. You'll be at the forefront of collecting and curating a multi-center dataset for IBD, paving the way for the creation of clinically relevant, reliable, and explainable AI models. With a dataset encompassing over 4000 patients, you'll collaborate closely with interdisciplinary teams of researchers, IT professionals, and physicians to develop robust algorithms that predict outcomes crucial to IBD management. Don't miss out on this opportunity to make a meaningful impact on patient care! Apply here: https://lnkd.in/e3Wj7CvB #PhDOpportunity #AI #IBD #Healthcare #DataScience #vacancy Marieke Pierik Andre Dekker

🔍 Exciting Opportunity in Healthcare AI Implementation Research! 🔍 Join us in tackling the lack of integration of AI into clinical care paths. The project aims to use implementation frameworks to design, execute and monitor an implementation plan for AI for patient outcomes. Be part of a team that's shaping the future of healthcare AI implementation! Apply now: https://lnkd.in/ejjmuhRA #Healthcare #ai #implementationscience #implementation #vacancy #MaastrichtUniversity #PhD Maria Jacobs Rachelle Swart Andre Dekker

🔍 Exciting PhD Opportunity in trustworthiness of AI at Maastricht University! 🔍 Join the AI-TRUST project and delve into the trustworthiness of AI systems in healthcare. AI-TRUST explores how stakeholders assess AI's trustworthiness in healthcare, merging sociology, philosophy, and AI research. Be part of groundbreaking interdisciplinary work shaping the future of AI in healthcare. Apply now: https://lnkd.in/euA846aD #research #Healthcare #PhDOpportunity #MaastrichtUniversity #AI #vacancy Bart Penders Andre Dekker

#vacature Kom jij onze researchgroep Clinical Data Science Maastricht versterken als PhD-student ‘beleid en implementatie van Artificial Intelligence in de gezondheidzorg’? Het NWO (Nederlandse Organisatie voor Wetenschappelijk Onderzoek) project “Personalized Oncology” (PersOn) omvat het verzamelen van data, bouwen van voorspellende modellen / AI, en implementatie in de praktijk, waarbij veel academische centra en industrie partners betrokken zijn. Binnen de implementatie spelen vragen over hoe AI op een veilige en betrouwbare ingezet kan worden, wat hiervoor nodig is vanuit wet- en regelgeving en hoe dit in (ziekenhuis)beleid vertaald en geïmplementeerd moet worden. In dit industrial PhD-traject doe je onderzoek naar goed doordacht beleid voor de acceptatie en commissioning, risicobeheersing, klinische validatie, implementatie, onderhoud en kwaliteit van AI in de dagdagelijkse zorg. Verder ben je ook betrokken bij de implementatie van dit beleid. Meer weten of solliciteren? https://lnkd.in/eGSZMVvd of neem contact op met Andre Dekker of Johan van Soest. #AIinhealthcare #AIindezorg #clinicaldatascience #AI #artificialintelligence #werkenbijmaastro #maastrojobs #nwo

We are hiring! Looking for a PhD candidate in the field of FAIR and AI. Specifically on the development and implementation of FAIR descriptions for AI, and the use of these FAIR descriptions for validating and continuous monitoring of AI used in clinical practice. Interested? Check the following link for more details and how to apply: https://lnkd.in/eFWkDPWG Clinical Data Science Maastricht BISS - Brightlands Institute for Smart Society Andre Dekker Inigo Bermejo Erik Roelofs