Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tuomas Ropponen"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract High-grade extrauterine serous carcinoma (HGSC) is an aggressive tumor with high rates of recurrence, frequent chemotherapy resistance, and overall 5-year survival of less than 50%. Beyond determining and confirming the diagnosis itself, pat
Externí odkaz:
https://doaj.org/article/dec4332aac824453a0d7dbb9e180088a
Autor:
Kevin Sandeman, Sami Blom, Ville Koponen, Anniina Manninen, Juuso Juhila, Antti Rannikko, Tuomas Ropponen, Tuomas Mirtti
Publikováno v:
Diagnostics, Vol 12, Iss 5, p 1031 (2022)
An artificial intelligence (AI) algorithm for prostate cancer detection and grading was developed for clinical diagnostics on biopsies. The study cohort included 4221 scanned slides from 872 biopsy sessions at the HUS Helsinki University Hospital dur
Externí odkaz:
https://doaj.org/article/b108e6a8540a4c88bc954b420bbdf8e0
Publikováno v:
Scientific Reports
Scientific Reports, Nature Publishing Group, 2021, 11 (1), pp.19165. ⟨10.1038/s41598-021-98480-0⟩
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports, Nature Publishing Group, 2021, 11 (1), pp.19165. ⟨10.1038/s41598-021-98480-0⟩
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
High-grade extrauterine serous carcinoma (HGSC) is an aggressive tumor with high rates of recurrence, frequent chemotherapy resistance, and overall 5-year survival of less than 50%. Beyond determining and confirming the diagnosis itself, pathologist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61a612649fc70344ea06d58885f92e67
http://europepmc.org/articles/PMC8476598
http://europepmc.org/articles/PMC8476598
Autor:
Tuomas Pitkänen, Sami Blom, Katherine Wu, Tyler Jacks, Tuomas Tammela, Peter M. K. Westcott, Tuomas Ropponen, Roderick T. Bronson, Thomas Westerling, Nathan J. Sacks
Publikováno v:
Cancer Research. 79:4447-4447
Lung cancer is the leading cause of cancer-related deaths worldwide, and genetically-engineered mouse models (GEMMs) of cancer provide important mechanistic and preclinical insights into this deadly disease. In particular, the “KP” model enables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d67b99ba3ef512faef24388a92506af
https://doi.org/10.1158/1538-7445.am2019-4447
https://doi.org/10.1158/1538-7445.am2019-4447