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Annieke C G van Baar, Andrei Prodan, Camilla D Wahlgren, Steen S Poulsen, Filip K Knop, Albert K Groen, Jacques J Bergman, Max Nieuwdorp and Evgeni Levin

cell densities in 38 subjects with MetS. To this end, we used recently published state-of-the-art statistical machine-learning methodology using an adapted version of the elastic net algorithm ( 9 ), specifically tailored for identification of the most

Open access

Urszula Smyczyńska, Joanna Smyczyńska, Maciej Hilczer, Renata Stawerska, Ryszard Tadeusiewicz and Andrzej Lewiński

relationships between them can be non-linear and sometimes remain poorly defined or even unknown. Development of advanced computational statistical methods (machine learning) seems to give the chance to overcome these limitations. Our research group has

Open access

Huy Gia Vuong, Nguyen Phuoc Long, Nguyen Hoang Anh, Tran Diem Nghi, Mai Van Hieu, Le Phi Hung, Tadao Nakazawa, Ryohei Katoh and Tetsuo Kondo

and machine learning, there are promising tools that can help clinicians better identify TCs and quantify the number of TCs in a given tumor. However, these tools need to be validated in further studies ( 24 ). In our meta-analysis, it should be

Open access

Kjell Oberg, Eric Krenning, Anders Sundin, Lisa Bodei, Mark Kidd, Margot Tesselaar, Valentina Ambrosini, Richard P Baum, Matthew Kulke, Marianne Pavel, Jaroslaw Cwikla, Ignat Drozdov, Massimo Falconi, Nicola Fazio, Andrea Frilling, Robert Jensen, Klaus Koopmans, Tiny Korse, Dik Kwekkeboom, Helmut Maecke, Giovanni Paganelli, Ramon Salazar, Stefano Severi, Jonathan Strosberg, Vikas Prasad, Aldo Scarpa, Ashley Grossman, Annemeik Walenkamp, Mauro Cives, Irene Virgolini, Andreas Kjaer and Irvin M Modlin

current methodologies including RECIST criteria (82%) and Hounsfield Units (Choi criteria) (76%). 68 Ga =  68 Ga-DOTA-SSA PET/CT; 111 In =  111 In-pentetreotide scintigraphy; 18 F =  18 F-DOPA-PET/CT; HU = Hounsfield Units. Imaging was

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Bilal B Mughal, Jean-Baptiste Fini and Barbara A Demeneix

absence of T 3 ( 39 ). The in vitro approaches included competitive binding assays, molecular docking and coactivator-binding assays, whereas the in vivo methodology exploited TH-response gene responses in Pelophylax nigromaculatus tadpoles. In