Projects per year
Personal profile
Research profile
Personalized Healthcare through Explainable AI and Digital Health
In my research, I focus on advancing personalized healthcare by leveraging a data-driven approach, with a special emphasis on explainable artificial intelligence (AI) and digital health solutions. The work centers on developing AI models to support individualized treatment, particularly for chronic disease management such as type 2 diabetes. These models estimate patient responses to treatment, providing personalized treatment insights aimed at enhancing overall health outcomes.
Another key area of my research is the development of digital health tools, specifically decision support systems for healthcare professionals. By integrating explainable AI into clinical practice, these digital tools help overcome barriers like clinical inertia, making healthcare more adaptive, transparent, and effective for both patients and practitioners.
Research Interests:
- Explainable AI in Healthcare
- Personalized Medicine
- Digital Health and AI-based Clinical Support Tools
Teaching profile
My teaching activities focus on supervising and guiding students through a problem-based learning approach. I primarily supervise biomedical engineering master's students in semester projects and medical students in public health projects. Additionally, I assist in teaching courses on the design and evaluation of digital health systems as well as machine learning.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Biomedical Engineering and Informatics, Master of Science
1 Sept 2019 → 30 Jun 2021
Award Date: 30 Jun 2021
Biomedical Engineering and Informatics, Bachelor
1 Sept 2016 → 30 Jun 2019
Award Date: 30 Jun 2019
Keywords
- Biomedical Engineering
- Health Informatics
- Decision support systems
- Data analitics
- data-driven modeling
- Machine Learning
- Artificial Intelligence (AI)
- Diabetes
Fingerprint
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Collaborations from the last five years
Dive into details by clicking on the dots.
Projects
- 1 Active
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ADAPT-T2D: Adherence through cloud-based Personalised Treatment for Type 2 Diabetes
Jensen, M. H. (Project Manager), Stoustrup, J. (PI), Hangaard, S. (Project Participant), Larsen, T. K. (Project Participant), Thomsen, C. H. N. (Project Participant), Leth, J.-J. (Project Participant) & Ahdab, M. A. (Project Participant)
01/12/2019 → 30/10/2025
Project: Research
Research output
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Personalized Prediction of Change in Fasting Blood Glucose Following Basal Insulin Adjustment in People With Type 2 Diabetes: A Proof-of-Concept Study
Thomsen, C. H. N., Kronborg, T., Hangaard, S., Vestergaard, P., Hejlesen, O. & Jensen, M. H., 2 Oct 2023, (E-pub ahead of print) In: Journal of Diabetes Science and Technology.Research output: Contribution to journal › Journal article › Research › peer-review
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Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Thomsen, C. H. N., Hangaard, S., Kronborg, T., Vestergaard, P., Hejlesen, O. & Jensen, M. H., Sept 2024, In: Journal of Diabetes Science and Technology. 18, 5, p. 1185-1197 13 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile5 Citations (Scopus)101 Downloads (Pure) -
Development of a Basal Insulin Titration System to Support Healthcare Providers in Treatment of People with Type 2 Diabetes: Preliminary Results
Thomsen, C. H. N., Hangaard, S., Kronborg, T., Vestergaard, P., Hejlesen, O. & Jensen, M. H., 22 Aug 2024, Digital Health and Informatics Innovations for Sustainable Health Care Systems. IOS Press, Vol. 316. p. 1735-1736 2 p. (Studies in Health Technology and Informatics , Vol. 316).Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review
Open AccessFile4 Downloads (Pure) -
Intelligent Diabetes Telemonitoring for Patients on Insulin Therapy: A Randomized Controlled Trial Protocol
Thomsen, C. H. N., Nørlev, J. T. D., Hangaard, S., Jensen, M. H., Kristensen, S. N. S., Aradóttir, T. B., Vestergaard, P., Hejlesen, O. & Kronborg, T., 22 Aug 2024, Digital Health and Informatics Innovations for Sustainable Health Care Systems. IOS Press, Vol. 316. p. 1737-1738 2 p. (Studies in Health Technology and Informatics , Vol. 316).Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review
Open AccessFile6 Downloads (Pure) -
A machine learning model for basal insulin titration of people with type 2 diabetes: preliminary results
Thomsen, C. H. N., Kronborg, T., Hangaard, S., Vestergaard, P., Hejlesen, O. & Jensen, M. H., Nov 2023, In: Diabetologia. 66, Suppl. 1, p. S81 152.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
Datasets
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sj-xlsx-2-dst-10.1177_19322968221145964 – Supplemental material for Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Thomsen, C. H. N. (Creator), Hangaard, S. (Creator), Kronborg, T. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Jensen, M. H. (Creator), Sage Journals, 24 Dec 2022
DOI: 10.25384/sage.21778396, https://sage.figshare.com/articles/dataset/sj-xlsx-2-dst-10_1177_19322968221145964_Supplemental_material_for_Time_for_Using_Machine_Learning_for_Dose_Guidance_in_Titration_of_People_With_Type_2_Diabetes_A_Systematic_Review_of_Basal_Insulin_Dose_Guidance/21778396
Dataset
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sj-xlsx-1-dst-10.1177_19322968221145964 – Supplemental material for Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Thomsen, C. H. N. (Creator), Hangaard, S. (Creator), Kronborg, T. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Jensen, M. H. (Creator), Sage Journals, 24 Dec 2022
DOI: 10.25384/sage.21778393.v1, https://sage.figshare.com/articles/dataset/sj-xlsx-1-dst-10_1177_19322968221145964_Supplemental_material_for_Time_for_Using_Machine_Learning_for_Dose_Guidance_in_Titration_of_People_With_Type_2_Diabetes_A_Systematic_Review_of_Basal_Insulin_Dose_Guidance/21778393/1
Dataset
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sj-xlsx-1-dst-10.1177_19322968221145964 – Supplemental material for Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Thomsen, C. H. N. (Creator), Hangaard, S. (Creator), Kronborg, T. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Jensen, M. H. (Creator), Sage Journals, 24 Dec 2022
DOI: 10.25384/sage.21778393, https://sage.figshare.com/articles/dataset/sj-xlsx-1-dst-10_1177_19322968221145964_Supplemental_material_for_Time_for_Using_Machine_Learning_for_Dose_Guidance_in_Titration_of_People_With_Type_2_Diabetes_A_Systematic_Review_of_Basal_Insulin_Dose_Guidance/21778393
Dataset
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sj-xlsx-2-dst-10.1177_19322968221145964 – Supplemental material for Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Thomsen, C. H. N. (Creator), Hangaard, S. (Creator), Kronborg, T. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Jensen, M. H. (Creator), Sage Journals, 24 Dec 2022
DOI: 10.25384/sage.21778396.v1, https://sage.figshare.com/articles/dataset/sj-xlsx-2-dst-10_1177_19322968221145964_Supplemental_material_for_Time_for_Using_Machine_Learning_for_Dose_Guidance_in_Titration_of_People_With_Type_2_Diabetes_A_Systematic_Review_of_Basal_Insulin_Dose_Guidance/21778396/1
Dataset
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Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Thomsen, C. H. N. (Creator), Hangaard, S. (Creator), Kronborg, T. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Jensen, M. H. (Creator), Sage Journals, 2022
DOI: 10.25384/sage.c.6359383.v1, https://sage.figshare.com/collections/Time_for_Using_Machine_Learning_for_Dose_Guidance_in_Titration_of_People_With_Type_2_Diabetes_A_Systematic_Review_of_Basal_Insulin_Dose_Guidance/6359383/1
Dataset
Activities
- 1 Organisation or participation in workshops, courses, seminars, exhibitions or similar
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Girls' Day in Science AAU 2022
Andersen, A.-L. (Organizer), Møller, K. V. (Organizer), Hegelund, R. H. (Organizer), Larsen, M. S. S. (Participant), Napoleone, A. (Participant), Fuglsig, L. V. (Participant), Petersen, E. (Participant), Andersen, K. H. (Participant), Jonge, N. D. (Participant), Quist-Jensen, C. A. (Participant), Pedersen, E. J. (Participant), Ponnaganti, P. (Participant), Lykkemark, J. (Participant), Svane, A. M. (Participant), Haxvig, H. A. (Participant), Otto, S. (Participant), Ananjeva, A. (Participant), Lechuga, M. M. L. (Participant), Thomsen, C. H. N. (Participant) & Pálsdóttir, Á. A. (Participant)
5 Oct 2022Activity: Attending an event › Organisation or participation in workshops, courses, seminars, exhibitions or similar
Press/Media
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Tina Vilsbøll om årets EASD: Fantastisk både fagligt og socialt
13/10/2023
1 item of Media coverage
Press/Media: Press / Media
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Forskere udvikler nyt værktøj: Skal hjælpe med at finde den rigtige insulindosis
05/10/2023
1 item of Media coverage
Press/Media: Press / Media