Projects per year
Personal profile
specialisation
intensive care, data science, data sharing, machine learning, artificial intelligence
Research interests
Our research is at the crossroads of artificial intelligence and intensive care medicine. Our bytes-to-bedside approach focuses on data science, data sharing and machine learning to leverage the power of the large amount of routinely collected data related to the treatment and care of intensive care patients. Our ultimate goals is to improve outcomes for future critically ill patients by implementing and evaluating data driven computerised decision support algorithms at their bedside.
Keywords
- R Medicine (General)
- QA75 Electronic computers. Computer science
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Active
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Right dose, right now: using big data for bedside personalised drug dosing
Elbers, P. (Principal investigator)
01/12/2016 → …
Project: Research
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Cost-effectiveness of data driven personalised antibiotic dosing in critically ill patients with sepsis or septic shock
Broulikova, H. M., Wallage, J., Roggeveen, L., Fleuren, L., Guo, T., Elbers, P. W. G. & Bosmans, J. E., 2025, (E-pub ahead of print) In: Journal of clinical monitoring and computing.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Elucidating the causal relationship of mechanical power and lung injury: a dynamic approach to ventilator management
Wu, C., Canakoglu, A., Vine, J., Mathur, A., Nath, R., Kashiouris, M., Mathur, P., Ercole, A., Elbers, P., Duggal, A., Wong, K. K. & Bhattacharyya, A., 1 Dec 2025, In: Intensive Care Medicine Experimental. 13, 1, 28.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
ESICM consensus-based recommendations for the management of very old patients in intensive care
Beil, M., Alberto, L., Bourne, R. S., Brummel, N. E., de Groot, B., de Lange, D. W., Elbers, P., Emmelot-Vonk, M., Flaatten, H., Freund, Y., Galazzi, A., Garcia-Martinez, A., Guidet, B., Holmerova, I., Jacobs, J. M., Joynt, G. M., Leaver, S., Leone, M., McNicholas, B. & McWilliams, D. & 12 others, , Feb 2025, In: Intensive care medicine. 51, 2, p. 287-301 15 p., q116.Research output: Contribution to journal › Article › Academic › peer-review
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Host Response Protein Biomarkers Indicative of Persistent Acute Kidney Injury in Critically Ill COVID-19 Patients
Steenvoorden, T. S., de Kruijf, K. C., Appelman, B., Moggre, B., Bos, L. D. J., Vlaar, A. P. J., Douma, R. A., Uhel, F., Kers, J., Oppelaar, J. J., van Vught, L. A., Beudel, M., Elbers, P. W. G., Joost Wiersinga, W., van der Poll, T., Vogt, L., The Amsterdam UMC COVID-19 Biobank Study Group & the CovidPredict Study Group, 13 Mar 2025, In: Critical care explorations. 7, 3Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Large language models in critical care
Biesheuvel, L. A., Workum, J. D., Reuland, M., van Genderen, M. E., Thoral, P., Dongelmans, D. & Elbers, P., 1 Apr 2025, In: Journal of Intensive Medicine. 5, 2, p. 113-118Research output: Contribution to journal › Review article › Academic › peer-review
Open AccessFile
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ESICM lives 2022 paris: AI to Implementation
Elbers, P. (Speaker)
22 Oct 2022 → 26 Oct 2022Activity: Talk or presentation › Oral presentation › Academic
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ESICM lives 2022 Paris: Right Dose Right Now
Elbers, P. (Speaker)
22 Oct 2022 → 26 Oct 2022Activity: Talk or presentation › Oral presentation › Academic
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Datathon ESICM 2022: Sigra privacy platform | Skipr Masterclass AI | Sepsis day PK quiz
Elbers, P. (Speaker)
6 May 2022 → 3 Jun 2022Activity: Talk or presentation › Oral presentation › Academic
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Datathon ESICM
Elbers, P. (Organiser)
6 May 2022 → 3 Jun 2022Activity: Participating in or organising an event › organising
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Amsterdam Medical Data Sciende (AMDS): Founder
Elbers, P. (Other)
2022 → …Activity: Educational contribution / Supervising student theses, products › Other