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Christer Borgfeldt

Professor

Publications

2026

Caroline Hellsten, Lina Magnusson, Christer Borgfeldt (2026) Women's reasoning and experience in the cervical cancer screening programme when offered a self-sampling HPV test: a qualitative content analysis BMC Women's Health, Vol. 26, Article 239 (Article in journal) Continue to DOI
Caroline Hellsten, Ola Forslund, Christer Borgfeldt (2026) Real-world evaluation of a population-based vaginal self-sampling program for cervical cancer prevention in Region Skåne, Sweden Acta Obstetricia et Gynecologica Scandinavica (Article in journal) Continue to DOI
Lollo Makdessi Björkström, Mats Fredrikson, Ninnie Borendal Wodlin, Lena Nilsson, Christer Borgfeldt, Preben Kjölhede (2026) Preoperative risk factors and their cumulative impact on nonsatisfaction after benign hysterectomy: A population-based nation-wide register study Acta Obstetricia et Gynecologica Scandinavica (Article in journal) Continue to DOI
Ivan I. Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi (2026) Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose Advanced Intelligent Systems, Article e202500838 (Article in journal) Continue to DOI

2025

Camilla Sköld, Angelique Flöter Rådestad, Katja Stenström Bohlin, Maria Bjurberg, Christer Borgfeldt, Kristina Hellman, Jenny-Maria Jönsson, Preben Kjölhede, Elisabeth Åvall-Lundqvist, Cecilia Olsson, Karin Stålberg, Erik Holmberg, Pernilla Dahm-Kähler (2025) Primary treatment and survival in malignant ovarian germ cell tumors: A nationwide population-based Swedish Gynecologic Cancer Group (SweGCG) study Gynecologic Oncology, Vol. 203, p. 59-66 (Article in journal) Continue to DOI

News

A man working on a machine in a lab.

AI-boosted electronic nose detects ovarian cancer

Using machine learning, an electronic nose can “smell” early signs of ovarian cancer in the blood. The method is precise and, according to the LiU researchers behind the study, it could eventually be used to find many different cancers.

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