Projekter pr. år
Personlig profil
Forskningsprofil
Research focuses on the use and integration of advanced technologies, such as artificial intelligence (AI) and machine learning (ML), to improve the diagnosis and treatment of diabetes and other chronic conditions. I am particularly interested in leveraging these tools to develop more personalized healthcare solutions.
Undervisningsprofil
My approach to teaching and supervision is rooted in the principles of problem-based learning (PBL) and group-organized project work. I believe that this active learning method enhances students' ability to take responsibility for their own learning, promotes critical thinking and problem-solving skills, and encourages collaboration and communication.
In my pedagogical activities, I focus on creating relevant and authentic learning experiences, where students can apply their theoretical knowledge in practical contexts. I often integrate case studies, real-life project assignments, data from clinical studies, and external collaborators that reflect real challenges. In this way, I strive to motivate and engage students while providing them with the opportunity to develop the skills and competencies relevant to their future careers in the healthcare sector.
Ekspertise relateret til FN’s Verdensmål
I 2015 blev FN's medlemslande enige om 17 Verdensmål til at bekæmpe fattigdom, beskytte planeten og sikre velstand for alle. Denne persons arbejde bidrager til følgende verdensmål:
Uddannelse (Akademiske kvalifikationer)
University pedagogics for asisstant lecturers
Dimissionsdato: 1 dec. 2018
PhD, Predictive models in diabetes
Dimissionsdato: 8 sep. 2016
M.Sc. BME
Dimissionsdato: 11 jun. 2011
Eksterne ansættelser
Editor, ScienceBank
2025 → …
Member of Editorial Board, Journal of Diabetes Science and Technology
2024 → …
Emneord
- Sundhedsteknologi
- Diabetes
- Machine Learning
- Artificial Intelligence (AI)
- Explainable AI
- COPD
- Chronic Diseases
- Medical Informatics
- Problembaseret Læring
Fingerprint
- 1 Lignende profiler
Samarbejde i de sidste fem år
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The use of continuous glucose monitoring (CGM) devices for advanced diagnostics and diabetes care
Cichosz, S. L. (PI (principal investigator))
01/10/2022 → 01/10/2026
Projekter: Projekt › Forskning
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TeleADL til borgere i eget hjem
Cichosz, S. L. (PI (principal investigator))
01/01/2021 → 31/12/2021
Projekter: Projekt › Forskning
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Sten-O Starter Kliniske Effekter
Cichosz, S. L. (PI (principal investigator)), Bender, C. (PI (principal investigator)), Jensen, M. H. (PI (principal investigator)) & Hejlesen, O. (PI (principal investigator))
01/09/2020 → 31/12/2023
Projekter: Projekt › Forskning
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TeleCare Nord Hjertesvigt
Cichosz, S. L. (PI (principal investigator))
01/08/2016 → 01/08/2018
Projekter: Projekt › Forskning
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DiaData – et IT-ekspertsystem til optimering af behandling af type-2 diabetes
Cichosz, S. L. (PI (principal investigator))
01/01/2013 → 01/12/2013
Projekter: Projekt › Forskning
Publikationer
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Artificial Intelligence to Diagnose Complications of Diabetes
Ayers, A. T., Ho, C. N., Kerr, D., Cichosz, S. L., Mathioudakis, N., Wang, M., Najafi, B., Moon, S.-J., Pandey, A. & Klonoff, D. C., jan. 2025, I: Journal of Diabetes Science and Technology. 19, 1, s. 246-264 19 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
4 Citationer (Scopus) -
From Stability to Variability: Classification of Healthy Individuals, Prediabetes, and Type 2 Diabetes using Glycemic Variability Indices from Continuous Glucose Monitoring Data
Cichosz, S. L., Kronborg, T., Laugesen, E., Hangaard, S., Fleischer, J., Hansen, T. K., Jensen, M. H., Poulsen, P. L. & Vestergaard, P., 8 jan. 2025, I: Diabetes Technology & Therapeutics. 27, 1, s. 34-44 11 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil8 Citationer (Scopus)51 Downloads (Pure) -
Explainable Machine Learning Models to Predict Weekly Risk of Hyperglycemia, Hypoglycemia and Glycemic Variability in Patients with Type 1 Diabetes Based on Continuous Glucose Monitoring
Cichosz, S. L., Olesen, S. S. & Jensen, M. H., 8 okt. 2024, (E-pub ahead of print) I: Journal of Diabetes Science and Technology.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil4 Citationer (Scopus)18 Downloads (Pure) -
Prediction of pancreatic cancer risk in patients with new-onset diabetes using a machine learning approach based on routine biochemical parameters
Cichosz, S. L., Jensen, M. H., Hejlesen, O., Henriksen, S. D., Drewes, A. M. & Olesen, S. S., feb. 2024, I: Computer Methods and Programs in Biomedicine. 244, 107965.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil11 Citationer (Scopus)91 Downloads (Pure) -
Artificial intelligence in nursing: driving a new standard in patient care
Bender, C., Pessoto Hirata, R., Kronborg, T. & Cichosz, S. L., 12 maj 2025, I: Texto & Contexto Enfermagem. 34Publikation: Bidrag til tidsskrift › Leder
Forskningsdatasæt
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Synthetic Continuous Glucose Monitoring (CGM) Signals
Cichosz, S. L. (Ophavsperson) & Xylander, A. A. P. (Ophavsperson), Mendeley Data, apr. 2021
DOI: 10.17632/chd8hx65r4.1, http://dx.doi.org/10.17632/chd8hx65r4.1
Datasæt
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Classification of Gastroparesis from Glycemic Variability in Type 1 Diabetes: A Proof-of-Concept Study
Cichosz, S. L. (Ophavsperson) & Hejlesen, O. (Ophavsperson), Sage Journals, 2021
DOI: 10.25384/sage.c.5425946, https://sage.figshare.com/collections/Classification_of_Gastroparesis_from_Glycemic_Variability_in_Type_1_Diabetes_A_Proof-of-Concept_Study/5425946
Datasæt
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sj-pdf-1-dst-10.1177_19322968211015206 – Supplemental material for Classification of Gastroparesis from Glycemic Variability in Type 1 Diabetes: A Proof-of-Concept Study
Cichosz, S. L. (Ophavsperson) & Hejlesen, O. (Ophavsperson), Sage Journals, 2021
DOI: 10.25384/sage.14602838.v1, https://doi.org/10.25384%2Fsage.14602838.v1
Datasæt: Supplerende materiale
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Precise Prediction of Total Body Lean and Fat Mass From Anthropometric and Demographic Data: Development and Validation of Neural Network Models
Cichosz, S. L. (Ophavsperson), Rasmussen, N. H. (Ophavsperson), Vestergaard, P. (Ophavsperson) & Hejlesen, O. (Ophavsperson), Sage Journals, 2020
DOI: 10.25384/sage.c.5209971, https://sage.figshare.com/collections/Precise_Prediction_of_Total_Body_Lean_and_Fat_Mass_From_Anthropometric_and_Demographic_Data_Development_and_Validation_of_Neural_Network_Models/5209971
Datasæt
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Supplement – Supplemental material for Precise Prediction of Total Body Lean and Fat Mass From Anthropometric and Demographic Data: Development and Validation of Neural Network Models
Cichosz, S. L. (Ophavsperson), Rasmussen, N. H. (Ophavsperson), Vestergaard, P. (Ophavsperson) & Hejlesen, O. (Ophavsperson), Sage Journals, 2020
DOI: 10.25384/sage.13246893.v1, https://doi.org/10.25384%2Fsage.13246893.v1
Datasæt: Supplerende materiale
Aktiviteter
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Journal of Diabetes Science and Technology (JDST), Editorial Board Member (EBM)
Cichosz, S. L. (Andet)
2024 → …Aktivitet: Andet
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The Swiss Data Science Center, SDSC, Schweiz, funding application review
Cichosz, S. L. (Konsulent)
dec. 2024Aktivitet: Myndighedsbetjening, konsulentarbejde og øvrig ansættelse › Myndighedsbetjening
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Journal of Diabetes Science and Technology (Tidsskrift)
Cichosz, S. L. (Fagfællebedømmer)
13 jun. 2025Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
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Diabetes Technology & Therapeutics (Tidsskrift)
Cichosz, S. L. (Fagfællebedømmer)
maj 2025Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
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Journal of Diabetes and its Complications (Tidsskrift)
Cichosz, S. L. (Fagfællebedømmer)
maj 2025Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning