Zobrazeno 1 - 10
of 1 791
pro vyhledávání: '"Rannikko, A"'
Autor:
Pohjonen, Joona, Batouche, Abderrahim-Oussama, Rannikko, Antti, Sandeman, Kevin, Erickson, Andrew, Pitkanen, Esa, Mirtti, Tuomas
Foundation models are trained on massive amounts of data to distinguish complex patterns and can be adapted to a wide range of downstream tasks with minimal computational resources. Here, we develop a foundation model for prostate cancer digital path
Externí odkaz:
http://arxiv.org/abs/2411.11458
Autor:
Batouche, Abderrahim Oussama, Czeizler, Eugen, Koskinen, Miika, Mirtti, Tuomas, Rannikko, Antti Sakari
The presence of detailed clinical information in electronic health record (EHR) systems presents promising prospects for enhancing patient care through automated retrieval techniques. Nevertheless, it is widely acknowledged that accessing data within
Externí odkaz:
http://arxiv.org/abs/2311.02086
Autor:
Matilda Roos-Mattila, Pauliina Kallio, Tamara J. Luck, Minttu Polso, Romika Kumari, Piia Mikkonen, Katja Välimäki, Minna Malmstedt, Pekka Ellonen, Teijo Pellinen, Caroline A. Heckman, Harri Mustonen, Pauli A. Puolakkainen, Kari Alitalo, Olli Kallioniemi, Tuomas Mirtti, Antti S. Rannikko, Vilja M. Pietiäinen, Hanna E. Seppänen
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-18 (2024)
Abstract Clear-cell renal cell carcinoma (ccRCC) is the most common origin of pancreatic metastases (PM). Distinct genomic aberrations, favorable prognosis, and clinical observations on high angiogenesis, and succeeding tyrosine kinase inhibitor (TKI
Externí odkaz:
https://doaj.org/article/78e3d2037cf943b789d38da6adb44f0e
Autor:
Pohjonen, Joona, Stürenberg, Carolin, Föhr, Atte, Randen-Brady, Reija, Luomala, Lassi, Lohi, Jouni, Pitkänen, Esa, Rannikko, Antti, Mirtti, Tuomas
Deep neural networks have achieved impressive performance in a wide variety of medical imaging tasks. However, these models often fail on data not used during training, such as data originating from a different medical centre. How to recognize models
Externí odkaz:
http://arxiv.org/abs/2206.15274
Autor:
Shadbahr, Tolou, Roberts, Michael, Stanczuk, Jan, Gilbey, Julian, Teare, Philip, Dittmer, Sören, Thorpe, Matthew, Torne, Ramon Vinas, Sala, Evis, Lio, Pietro, Patel, Mishal, Collaboration, AIX-COVNET, Rudd, James H. F., Mirtti, Tuomas, Rannikko, Antti, Aston, John A. D., Tang, Jing, Schönlieb, Carola-Bibiane
Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in most real-world datasets and these missing values are typically imputed using established methods, followed by
Externí odkaz:
http://arxiv.org/abs/2206.08478
Autor:
Michaela Feodoroff, Firas Hamdan, Gabriella Antignani, Sara Feola, Manlio Fusciello, Salvatore Russo, Jacopo Chiaro, Katja Välimäki, Teijo Pellinen, Rui M. Branca, Janne Lehtiö, Federica D´alessio, Paolo Bottega, Virpi Stigzelius, Janita Sandberg, Jonna Clancy, Jukka Partanen, Minna Malmstedt, Antti Rannikko, Vilja Pietiäinen, Mikaela Grönholm, Vincenzo Cerullo
Publikováno v:
OncoImmunology, Vol 13, Iss 1 (2024)
Immunotherapy has emerged as a promising approach for cancer treatment, with oncolytic adenoviruses showing power as immunotherapeutic agents. In this study, we investigated the immunotherapeutic potential of an adenovirus construct expressing CXCL9,
Externí odkaz:
https://doaj.org/article/9f9b01d5a4b141ec9e694bed2adb86b2
Autor:
Englman, Cameron, Maffei, Davide, Allen, Clare, Kirkham, Alex, Albertsen, Peter, Kasivisvanathan, Veeru, Baroni, Ronaldo Hueb, Briganti, Alberto, De Visschere, Pieter, Dickinson, Louise, Gómez Rivas, Juan, Haider, Masoom A., Kesch, Claudia, Loeb, Stacy, Macura, Katarzyna J., Margolis, Daniel, Mitra, Anita M., Padhani, Anwar R., Panebianco, Valeria, Pinto, Peter A., Ploussard, Guillaume, Puech, Philippe, Purysko, Andrei S., Radtke, Jan Philipp, Rannikko, Antti, Rastinehad, Art, Renard-Penna, Raphaele, Sanguedolce, Francesco, Schimmöller, Lars, Schoots, Ivo G., Shariat, Shahrokh F., Schieda, Nicola, Tempany, Clare M., Turkbey, Baris, Valerio, Massimo, Villers, Arnauld, Walz, Jochen, Barrett, Tristan, Giganti, Francesco, Moore, Caroline M.
Publikováno v:
In European Urology September 2024 86(3):240-255
Publikováno v:
Nursing Open, Vol 10, Iss 12, Pp 7566-7584 (2023)
Abstract Aim To explore the factors that affect the quality of interactions between nursing personnel and the informal caregivers of people with memory disorders. Design Systematic review and metasummary of qualitative empirical research. Methods The
Externí odkaz:
https://doaj.org/article/417fbf8864ec48008ffd7cc154d75edc
Autor:
Hautala, Maria K., Mikkonen, Kirsi H., Pokka, Tytti M.L., Rannikko, Sirpa K., Koskela, Ulla V., Rantala, Heikki M.J., Uhari, Matti K., Glumoff, Virpi, Helander, Heli M.
Publikováno v:
In Epilepsy Research July 2024 203
Publikováno v:
European Urology Open Science, Vol 63, Iss , Pp S12-S13 (2024)
Externí odkaz:
https://doaj.org/article/eb9caf4979d14f47818f41290035f0b9