Turkki Riku相关文献与解析，生知库 | 链接生命科学的每一步

Brück, Oscar; Lee, Moon Hee; Turkki, Riku; Uski, Ilona; Penttilä, Patrick; Paavolainen, Lassi; Kovanen, Panu; Järvinen, Petrus; Bono, Petri; Pellinen, Teijo; Mustjoki, Satu; Kreutzman, Anna

肿瘤

肿瘤免疫

肾癌

Immune profiles in acute myeloid leukemia bone marrow associate with patient age, T-cell receptor clonality, and survival

急性髓系白血病骨髓中的免疫特征与患者年龄、T细胞受体克隆性和生存率相关

期刊:Blood Advances

影响因子:7.1

doi:10.1182/bloodadvances.2019000792

Brück, Oscar; Dufva, Olli; Hohtari, Helena; Blom, Sami; Turkki, Riku; Ilander, Mette; Kovanen, Panu; Pallaud, Celine; Ramos, Pedro Marques; Lähteenmäki, Hanna; Välimäki, Katja; El Missiry, Mohamed; Ribeiro, Antonio; Kallioniemi, Olli; Porkka, Kimmo; Pellinen, Teijo; Mustjoki, Satu

Combined epithelial marker analysis of tumour budding in stage II colorectal cancer

联合上皮标志物分析II期结直肠癌肿瘤出芽

期刊:Journal of Pathology Clinical Research

影响因子:3.7

doi:10.1002/cjp2.119

Slik, Khadija; Blom, Sami; Turkki, Riku; Välimäki, Katja; Kurki, Samu; Mustonen, Harri; Haglund, Caj; Carpén, Olli; Kallioniemi, Olli; Korkeila, Eija; Sundström, Jari; Pellinen, Teijo

Breast cancer outcome prediction with tumour tissue images and machine learning

利用肿瘤组织图像和机器学习预测乳腺癌预后

期刊:Breast Cancer Research and Treatment

影响因子:3

doi:10.1007/s10549-019-05281-1

Turkki, Riku; Byckhov, Dmitrii; Lundin, Mikael; Isola, Jorma; Nordling, Stig; Kovanen, Panu E; Verrill, Clare; von Smitten, Karl; Joensuu, Heikki; Lundin, Johan; Linder, Nina

Spatial aspects of oncogenic signalling determine the response to combination therapy in slice explants from Kras-driven lung tumours

致癌信号的空间分布决定了Kras驱动的肺肿瘤切片外植体对联合疗法的反应

期刊:Journal of Pathology

影响因子:5.2

doi:10.1002/path.5059

Närhi, Katja; Nagaraj, Ashwini S; Parri, Elina; Turkki, Riku; van Duijn, Petra W; Hemmes, Annabrita; Lahtela, Jenni; Uotinen, Virva; Mäyränpää, Mikko I; Salmenkivi, Kaisa; Räsänen, Jari; Linder, Nina; Trapman, Jan; Rannikko, Antti; Kallioniemi, Olli; Af Hällström, Taija M; Lundin, Johan; Sommergruber, Wolfgang; Anders, Simon; Verschuren, Emmy W

Deep learning based tissue analysis predicts outcome in colorectal cancer

基于深度学习的组织分析可预测结直肠癌的预后

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-018-21758-3

Bychkov, Dmitrii; Linder, Nina; Turkki, Riku; Nordling, Stig; Kovanen, Panu E; Verrill, Clare; Walliander, Margarita; Lundin, Mikael; Haglund, Caj; Lundin, Johan

Phase I study with ONCOS-102 for the treatment of solid tumors - an evaluation of clinical response and exploratory analyses of immune markers

ONCOS-102治疗实体瘤的I期研究——临床反应评估和免疫标志物探索性分析

期刊:Journal for ImmunoTherapy of Cancer

影响因子:10.6

doi:10.1186/s40425-016-0121-5

Ranki, Tuuli; Pesonen, Sari; Hemminki, Akseli; Partanen, Kaarina; Kairemo, Kalevi; Alanko, Tuomo; Lundin, Johan; Linder, Nina; Turkki, Riku; Ristimäki, Ari; Jäger, Elke; Karbach, Julia; Wahle, Claudia; Kankainen, Matti; Backman, Charlotta; von Euler, Mikael; Haavisto, Elina; Hakonen, Tiina; Heiskanen, Raita; Jaderberg, Magnus; Juhila, Juuso; Priha, Petri; Suoranta, Laura; Vassilev, Lotta; Vuolanto, Antti; Joensuu, Timo

免疫/内分泌

发表日期：2016

文献求助收藏

Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples

利用抗体监督深度学习对苏木精-伊红染色乳腺癌样本中的肿瘤浸润免疫细胞进行定量分析

期刊:Journal of Pathology Informatics

影响因子:

doi:10.4103/2153-3539.189703

Turkki, Riku; Linder, Nina; Kovanen, Panu E; Pellinen, Teijo; Lundin, Johan

Evaluating feature extraction in ovarian cancer cell line co-cultures using deep neural networks.

利用深度神经网络评估卵巢癌细胞系共培养中的特征提取

Label-free prediction of cell painting from brightfield images.

基于明场图像的无标记细胞着色预测

Spatial immunoprofiling of the intratumoral and peritumoral tissue of renal cell carcinoma patients

肾细胞癌患者肿瘤内及肿瘤周围组织的空间免疫分析

Immune profiles in acute myeloid leukemia bone marrow associate with patient age, T-cell receptor clonality, and survival

急性髓系白血病骨髓中的免疫特征与患者年龄、T细胞受体克隆性和生存率相关

Combined epithelial marker analysis of tumour budding in stage II colorectal cancer

联合上皮标志物分析II期结直肠癌肿瘤出芽

Breast cancer outcome prediction with tumour tissue images and machine learning

利用肿瘤组织图像和机器学习预测乳腺癌预后

Spatial aspects of oncogenic signalling determine the response to combination therapy in slice explants from Kras-driven lung tumours

致癌信号的空间分布决定了Kras驱动的肺肿瘤切片外植体对联合疗法的反应

Deep learning based tissue analysis predicts outcome in colorectal cancer

基于深度学习的组织分析可预测结直肠癌的预后

Phase I study with ONCOS-102 for the treatment of solid tumors - an evaluation of clinical response and exploratory analyses of immune markers

ONCOS-102治疗实体瘤的I期研究——临床反应评估和免疫标志物探索性分析

Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples

利用抗体监督深度学习对苏木精-伊红染色乳腺癌样本中的肿瘤浸润免疫细胞进行定量分析