Research output per year
Research output per year
Personal profile
Research
My research focuses on machine learning and applications within
medicine and biology. I use in particular neural networks, both
shallow and deep models. Current applications include:
- Biomarker discovery, using proteomic data, for various cancer diseases, with a special focus on early detection.
- Survival analysis in cardiac transplantation and how to optimize the match between donors and recipients.
- Decision support for medical images e.g. whole body bone scintigraphy for prostate cancer patients.
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):
Subject classification (UKÄ)
- Bioinformatics (Computational Biology)
- Cancer and Oncology
- Bioinformatics and Computational Biology
Free keywords
- Computational Science
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Collaborations the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Predicting Occlusion Myocardial Infarctions in the Emergency Department Using Artificial Intelligence
Nyström, A., Björkelund, A., Wagner, H., Ekelund, U., Ohlsson, M., Björk, J., Mokhtari, A. & Lundager Forberg, J., 2026 Jan 1, In: Journal of the American college of emergency physicians open. 7, 1, 100299.Research output: Contribution to journal › Article › peer-review
Open Access -
Time series anomaly detection in helpline call trends for early detection of COVID-19 spread across Sweden, 2020
Hashemi, A. S., Dietler, D., Fall, T., Inghammar, M., Johansson, A. F., Bonander, C., Ohlsson, M. & Björk, J., 2025 Dec, In: Scientific Reports. 15, 1, 32701.Research output: Contribution to journal › Article › peer-review
Open Access -
Transfer learning for predicting acute myocardial infarction using electrocardiograms
Nyström, A., Björkelund, A., Ohlsson, M., Björk, J., Ekelund, U. & Lundager Forberg, J., 2025 Oct, In: PLOS Digital Health. 4, 10, p. e0001058Research output: Contribution to journal › Article › peer-review
Open Access -
Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer
Zhang, D., Dihge, L., Bendahl, P.-O., Arvidsson, I., Dustler, M., Ellbrant, J., Gulis, K., Hjärtström, M., Ohlsson, M., Rejmer, C., Schmidt, D., Zackrisson, S., Edén, P. & Rydén, L., 2025 Jul 10, In: npj Digital Medicine. 8, 1, 425.Research output: Contribution to journal › Article › peer-review
Open Access -
Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden
Tolestam Heyman, E., Ashfaq, A., Ekelund, U., Ohlsson, M., Björk, J., Schubert, A. M., Lingman, M. & Khoshnood, A. M., 2025 May 28, In: International Journal of Medical Informatics. 202, October 2025, 105969.Research output: Contribution to journal › Article › peer-review
Open AccessFile47 Downloads (Pure)
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Explainable and Just AI in Data-Driven Disease Surveillance
Hashemi, A. S. (PI), Litins'ka, Y. (CoPI), Björk, J. (Researcher), Ohlsson, M. (Researcher), Dietler, D. (Researcher), Holmberg, P. (Researcher) & Aminifar, A. (Researcher)
Knut and Alice Wallenberg Foundation
2025/06/01 → 2027/05/31
Project: Research
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SEM2: Beslutsstöd baserade på maskininlärning och statistiska modeller för bättre akutsjukvård
Ekelund, U. (PI), Björk, J. (Researcher), Ohlsson, M. (Researcher), Lundager Forberg, J. (Researcher), Björkelund, A. (Researcher) & Melander, O. (Researcher)
2024/10/30 → …
Project: Research
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Applications of Deep Learning in Breast Cancer Research
Zhang, D. (Researcher), Edén, P. (Supervisor), Ohlsson, M. (Assistant supervisor) & Dihge, L. (Assistant supervisor)
2022/03/10 → 2026/06/10
Project: Dissertation
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PREPARE: Improved preparedness for future pandemics and other health crises through large-scale disease surveillance
Björk, J. (Researcher), Inghammar, M. (Researcher), Litins'ka, Y. (Researcher), Forsell, M. (Researcher), Ohlsson, M. (Researcher), Lingman, M. (Researcher), Wigren Byström, J. (Researcher), Almgren, M. (Researcher), Kahn, F. (Researcher), Rasmussen, M. (Researcher), Malmqvist, U. (Researcher), Mitchell, A. (Researcher), Neumann, A. (Researcher), Dietler, D. (Researcher), Bennet, L. (Researcher), Bonander, C. (Researcher), Eriksson, T. (Researcher), Björkelund, A. (Researcher), Vilhelmsson, A. (Researcher), Nilsson, A. (Researcher), Wetterberg, H. (Researcher), Hassan, M. (Research student), Hashemi, A. S. (Researcher), Mazhar, S. (Researcher), Johansson, A. (Researcher), Andreasson, J. (Researcher) & Hlebowicz, A. (Researcher)
2021/01/01 → 2026/12/31
Project: Research
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SEM: Maskininlärning och statistiska modeller för bättre riskbedömning, diagnostik och behandling av akutsökande patienter i Skåne
Ekelund, U. (PI), Björk, J. (Researcher), Melander, O. (Researcher), Ohlsson, B. (Researcher), Ohlsson, M. (Researcher), von Wovern, F. (Researcher) & Gerward, S. (Researcher)
2019/12/18 → …
Project: Research
Activities
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AI Lund lunch seminar: Application of Machine Learning algorithms in modeling and understanding the role of the Microbiome in the Colorectal Cancer diagnosis and therapy
Wisbrant, J. (Organiser) & Ohlsson, M. (Chair)
2024 Jun 5Activity: Participating in or organising an event › Organisation of public lecture/debate/seminar
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Resource management in the emergency department by using machine learning
Tolestam Heyman, E. (Presenter), Khoshnood, A. (Contributor), Ekelund, U. (Contributor), Björk, J. (Contributor), Ohlsson, M. (Contributor), Lingman, M. (Contributor) & Dahlén Holmqvist, L. (Contributor)
2021 Nov 2Activity: Talk or presentation › Presentation
File -
LUCC - AI and Cancer Seminar: "Big Data in Oncology"
Jerkeman, M. (Organiser), Parikh, R. (Invited speaker), Miller, R. (Invited speaker), Ryden, L. (Speaker), Ohlsson, M. (Invited speaker), Munck Af Rosenschöld, P. (Speaker), Jerkeman, M. (Chair) & Zackrisson, S. (Organiser)
2021 Feb 18Activity: Participating in or organising an event › Organisation of workshop/ seminar/ course
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Resource management in the emergency department by using machine learning
Khoshnood, A. (First/primary/lead supervisor), Ekelund, U. (Second supervisor), Ohlsson, M. (Joint second supervisor), Björk, J. (Joint second supervisor), Lingman, M. (Joint second supervisor) & Dahlén Holmqvist, L. (Joint second supervisor)
2021 Feb 1 → 2024 Nov 21Activity: Examination and supervision › Supervision of PhD students
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Improved triage, diagnosis and prognosis at the emergency department by using machine learning on big health care data
Björk, J. (First/primary/lead supervisor), Ekelund, U. (Joint second supervisor), Lundager Forberg, J. (Joint second supervisor) & Ohlsson, M. (Joint second supervisor)
2021 → …Activity: Examination and supervision › Supervision of PhD students
Prizes and Distinction
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Grant
Tolestam Heyman, E. (Recipient), Khoshnood, A. (Recipient), Lingman, M. (Recipient), Ekelund, U. (Recipient), Björk, J. (Recipient), Ohlsson, M. (Recipient) & Dahlén Holmqvist, L. (Recipient), 2023 Oct 27
Prize: Other distinction
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Grant
Tolestam Heyman, E. (Recipient), Khoshnood, A. (Recipient), Ekelund, U. (Recipient), Björk, J. (Recipient), Ohlsson, M. (Recipient), Lingman, M. (Recipient) & Dahlén Holmqvist, L. (Recipient), 2022 Dec 1
Prize: Other distinction
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Grant
Tolestam Heyman, E. (Recipient), Khoshnood, A. (Recipient), Björk, J. (Recipient), Ekelund, U. (Recipient), Ohlsson, M. (Recipient), Lingman, M. (Recipient) & Dahlén Holmqvist, L. (Recipient), 2022 Oct 19
Prize: Other distinction
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Grant
Tolestam Heyman, E. (Recipient), Khoshnood, A. (Recipient), Lingman, M. (Recipient), Ekelund, U. (Recipient), Björk, J. (Recipient), Ohlsson, M. (Recipient) & Dahlén Holmqvist, L. (Recipient), 2022 Mar 31
Prize: Other distinction
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Grant
Tolestam Heyman, E. (Recipient), Khoshnood, A. (Recipient), Lingman, M. (Recipient), Ekelund, U. (Recipient), Björk, J. (Recipient), Ohlsson, M. (Recipient) & Dahlén Holmqvist, L. (Recipient), 2021 Dec 6
Prize: Other distinction