Nina Linder MD, PhD is an adjunct professor in the field of molecular medicine from the University of Helsinki, Finland. Nina Linder has profound knowledge in molecular medicine and cancer biomarker research and a five-year track record as a medical advisor within the pharmaceutical industry with involvement in clinical trials for novel targeted molecular therapeutics in the field of oncology. Current research areas include image-based diagnostics with special focus on developing high-throughput computer assisted artificial intelligence-based methods for the analysis of digitized patient samples. The purpose of her ongoing research is to promote the implementation of novel decision support tools for precision medicine by using big data and systems medicine, with the goal to improve the translation of information from basic medical research to the clinical setting.
Antibody-supervised deep learning for quantification of tumor infiltrating immune cells in hematoxylin and eosin-stained breast cancer samples. Turkki R, Linder N, Kovanen P, Pellinen T and Lundin J. J. Pathol. Inform., 1;7:38, 2016
Assessment of tumor viability in human lung cancer xenografts with texture based image analysis. Turkki R, Linder N, Holopainen T, Wang Y, Grote A, Lundin M, Alitalo K and Lundin J. J Clin Pathol. 2015. Accepted for publication.
A Malaria Diagnostic Tool Based on Computer Vision Screening and Visualization of Plasmodium falciparum Candidate Areas in Digitized Blood Smears. Linder N, Turkki R, Walliander M, Mårtensson A, Diwan V, Rahtu E, Pietikäinen M, Lundin M, Lundin J. PLoS One. 2014 Aug 21;9(8).
Identification of tumor epithelium and stroma in tissue microarrays using texture analysis. Linder N, Konsti J, Turkki R, Rahtu E, Lundin M, Nordling S, Ahonen T, Pietikainen M, Lundin J. Diagn Pathol. 2012 Mar 2;7(1):22.
Long-term prognosis of breast cancer detected by mammography screening or other methods. Lehtimäki T, Lundin M, Linder N, Sihto H, Holli K, Turpeenniemi-Hujanen T, Kataja V, Isola J, Joensuu H, Lundin J. Breast Cancer Res. 2011 Dec 28;13(6):R134.