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Scientific Reports
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July 23, 2020
Author Correction: Virtual clinical trials identify effective combination therapies in ovarian cancer
Emilia Kozłowska, Tuulia Vallius, Johanna Hynninen, et al.
Scientific Reports
|
December 12, 2019
Virtual clinical trials identify effective combination therapies in ovarian cancer
Emilia Kozłowska, Tuulia Vallius, Johanna Hynninen, et al.
Tumour Biology : the Journal of the International Society for Oncodevelopmental Biology and Medicine
|
February 21, 2017
Postoperative human epididymis protein 4 predicts primary therapy outcome in advanced epithelial ovarian cancer
Tuulia Vallius, Johanna Hynninen, Annika Auranen, et al.
Tumour Biology : the Journal of the International Society for Oncodevelopmental Biology and Medicine
|
September 6, 2014
Serum HE4 and CA125 as predictors of response and outcome during neoadjuvant chemotherapy of advanced high-grade serous ovarian cancer
Tuulia Vallius, Johanna Hynninen, Annika Auranen, et al.
Biorxiv : the Preprint Server for Biology
|
June 22, 2026
STITCH links cellular morphology and gene expression in spatial transcriptomics
Shashwat Kumar, Yingxiao Shi, Tuulia Vallius, et al.
Cancer Research
|
May 18, 2018
Mathematical Modeling Predicts Response to Chemotherapy and Drug Combinations in Ovarian Cancer
Emilia Kozłowska, Anniina Färkkilä, Tuulia Vallius, et al.
Gynecologic Oncology
|
October 31, 2015
18F-FDG-PET/CT can identify histopathological non-responders to platinum-based neoadjuvant chemotherapy in advanced epithelial ovarian cancer
Tuulia Vallius, Anniina Peter, Annika Auranen, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
February 25, 2018
<sup>18</sup>F-FDG-PET/CT based total metabolic tumor volume change during neoadjuvant chemotherapy predicts outcome in advanced epithelial ovarian cancer
Tuulia Vallius, Johanna Hynninen, Jukka Kemppainen, et al.
Elife
|
June 30, 2026
Restraint of melanoma progression by cells in the local skin environment
Yilun Ma, Mohita Tagore, Miranda V Hunter, et al.
Communications Biology
|
November 18, 2022
UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues
Clarence Yapp, Edward Novikov, Won-Dong Jang, et al.
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Search research articles
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Showing results (1-10 of 25) with videos related to
Sort By:
Page
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Scientific Reports
|
July 23, 2020
Author Correction: Virtual clinical trials identify effective combination therapies in ovarian cancer
Emilia Kozłowska, Tuulia Vallius, Johanna Hynninen, et al.
Scientific Reports
|
December 12, 2019
Virtual clinical trials identify effective combination therapies in ovarian cancer
Emilia Kozłowska, Tuulia Vallius, Johanna Hynninen, et al.
Tumour Biology : the Journal of the International Society for Oncodevelopmental Biology and Medicine
|
February 21, 2017
Postoperative human epididymis protein 4 predicts primary therapy outcome in advanced epithelial ovarian cancer
Tuulia Vallius, Johanna Hynninen, Annika Auranen, et al.
Tumour Biology : the Journal of the International Society for Oncodevelopmental Biology and Medicine
|
September 6, 2014
Serum HE4 and CA125 as predictors of response and outcome during neoadjuvant chemotherapy of advanced high-grade serous ovarian cancer
Tuulia Vallius, Johanna Hynninen, Annika Auranen, et al.
Biorxiv : the Preprint Server for Biology
|
June 22, 2026
STITCH links cellular morphology and gene expression in spatial transcriptomics
Shashwat Kumar, Yingxiao Shi, Tuulia Vallius, et al.
Cancer Research
|
May 18, 2018
Mathematical Modeling Predicts Response to Chemotherapy and Drug Combinations in Ovarian Cancer
Emilia Kozłowska, Anniina Färkkilä, Tuulia Vallius, et al.
Gynecologic Oncology
|
October 31, 2015
18F-FDG-PET/CT can identify histopathological non-responders to platinum-based neoadjuvant chemotherapy in advanced epithelial ovarian cancer
Tuulia Vallius, Anniina Peter, Annika Auranen, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
February 25, 2018
<sup>18</sup>F-FDG-PET/CT based total metabolic tumor volume change during neoadjuvant chemotherapy predicts outcome in advanced epithelial ovarian cancer
Tuulia Vallius, Johanna Hynninen, Jukka Kemppainen, et al.
Elife
|
June 30, 2026
Restraint of melanoma progression by cells in the local skin environment
Yilun Ma, Mohita Tagore, Miranda V Hunter, et al.
Communications Biology
|
November 18, 2022
UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues
Clarence Yapp, Edward Novikov, Won-Dong Jang, et al.
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of 3