Home
Placeholder for missing image of Christer Borgfeldt

Christer Borgfeldt

Professor

Publications

2026

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
Jens Eriksson, Donatella Puglisi, Filip Herbst, Arturas Dobilas, Ivan Shtepliuk, Ulrika Joneborg, Henrik Falconer, Angelique Floter Radestad, Christer Borgfeldt (2025) Machine learning-enhanced gas sensor technology identifies ovarian and endometrial cancer of all stages through plasma volatile organic compound patterns eBioMedicine, Vol. 122, Article 106027 (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.

Tags