Computational Science for Health and Environment

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2026
Mark Predicting Occlusion Myocardial Infarctions in the Emergency Department Using Artificial Intelligence
Nyström, Axel ^LU ; Björkelund, Anders ^LU ; Wagner, Henrik ^LU ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Mokhtari, Arash ^LU and Lundager Forberg, Jakob ^LU (2026) In Journal of the American college of emergency physicians open 7(1).
- Contribution to journal › Article
Mark Identifying 20 homogeneous clusters of acute patients discharged with nonspecific diagnoses through k-prototypes mixed data clustering
Gregersen Mottlau, Rasmus ; Villumsen, Marie ; Nyström, Axel ^LU ; Nygaard, Hanne ; Rasmussen, Jens ; Christensen, Mikkel B ; Lundager Forberg, Jakob ^LU and Petersen, Janne (2026) In BMC Emergency Medicine
- Contribution to journal › Article
Mark Achieving subtemporal resolution in the analysis of two-state single-molecule trajectories
Clarkson, Erik ^LU and Ambjörnsson, Tobias ^LU (2026) In Physical Review Research 8(1). p.013115-013115
- Contribution to journal › Article
Mark Time to diagnose and improve outcomes in people with breathlessness: a call for action
Olsson, Max ^LU and Ekström, Magnus ^LU (2026) In Thorax 81(1). p.8-10
- Contribution to journal › Letter
Mark A distinct lineage pathway drives parvalbumin chandelier cell fate in human interneuron reprogramming
Stamouli, Christina A ^LU ; Degener, Alexander ^LU ; Cepeda-Prado, Efrain ^LU ; Bruzelius, Andreas ^LU ; Andersson, Emil ^LU ; Giacomoni, Jessica ^LU ; Vorgeat, Aurélie Delphine ; Kidnapillai, Srisaiyini ^LU ; Klementieva, Oxana ^LU and Parmar, Malin ^LU , et al. (2026) In Science Advances 12(1).
- Contribution to journal › Article
2025
Mark Advancing personalised care in atrial fibrillation and stroke : The potential impact of AI from prevention to rehabilitation
Ortega-Martorell, Sandra ^LU ; Olier, Ivan ; Ohlsson, Mattias ^LU and Lip, Gregory Y.H. (2025) In Trends in Cardiovascular Medicine 35(4). p.205-211
- Contribution to journal › Scientific review
Mark Predicting adverse cardiac events at the emergency department : A deep learning approach
Nyström, Axel ^LU (2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
Mark Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
Zhang, Daqu ^LU ; Dihge, Looket ^LU ; Bendahl, Pär-Ola ^LU ; Arvidsson, Ida ^LU ; Dustler, Magnus ^LU ; Ellbrant, Julia ^LU ; Gulis, Kim ^LU ; Hjärtström, Malin ^LU ; Ohlsson, Mattias ^LU and Rejmer, Cornelia ^LU , et al. (2025) In Breast Cancer Research
- Working paper/Preprint › Preprint in preprint archive
Mark Immune Response in Triple-Negative Breast Cancer - Machine Learning-based Insights from Histology and -Omics
Roostee, Suze Julia ^LU (2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
Mark Bayesian and frequentist analyses of two-state single-molecule diffusion trajectories
Clarkson, Erik ^LU and Ambjörnsson, Tobias ^LU (2025) In Journal of Physics A: Mathematical and Theoretical 58(19).
- Contribution to journal › Article

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Computational Science for Health and Environment

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