Zobrazeno 1 - 10
of 2 450
pro vyhledávání: '"Scheinost, A."'
Effective adaptation to distribution shifts in training data is pivotal for sustaining robustness in neural networks, especially when removing specific biases or outdated information, a process known as machine unlearning. Traditional approaches typi
Externí odkaz:
http://arxiv.org/abs/2405.14020
The prevalence of machine learning in biomedical research is rapidly growing, yet the trustworthiness of such research is often overlooked. While some previous works have investigated the ability of adversarial attacks to degrade model performance in
Externí odkaz:
http://arxiv.org/abs/2301.01885
Autor:
Timo Baade, Marcus Michaelis, Andreas Prestel, Christoph Paone, Nikolai Klishin, Marleen Herbinger, Laura Scheinost, Ruslan Nedielkov, Christof R Hauck, Heiko M Möller
Publikováno v:
PLoS Biology, Vol 22, Iss 9, p e3002757 (2024)
Integrins are fundamental for cell adhesion and the formation of focal adhesions (FA). Accordingly, these receptors guide embryonic development, tissue maintenance, and haemostasis but are also involved in cancer invasion and metastasis. A detailed u
Externí odkaz:
https://doaj.org/article/0908ff5ff39643cb9c9b3cf0660f1c5d
Autor:
Rongtao Jiang, Stephanie Noble, Matthew Rosenblatt, Wei Dai, Jean Ye, Shu Liu, Shile Qi, Vince D. Calhoun, Jing Sui, Dustin Scheinost
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Cross-sectional studies have demonstrated strong associations between physical frailty and depression. However, the evidence from prospective studies is limited. Here, we analyze data of 352,277 participants from UK Biobank with 12.25-year f
Externí odkaz:
https://doaj.org/article/48511546df974f4cb243b5bf84d4bfad
Autor:
Brendan D. Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Scheinost
Publikováno v:
Developmental Cognitive Neuroscience, Vol 70, Iss , Pp 101464- (2024)
Predictive modeling potentially increases the reproducibility and generalizability of neuroimaging brain-phenotype associations. Yet, the evaluation of a model in another dataset is underutilized. Among studies that undertake external validation, the
Externí odkaz:
https://doaj.org/article/ba83c9d07d5747f0b8cd79c9f09e659c
Autor:
Jana Soukupova, Barbora Stastna, Madiha Kanwal, Jan Hojny, Petra Zemankova, Marianna Borecka, Leona Cerna, Marta Cerna, Monika Cerna, Vaclava Curtisova, Tatana Dolezalova, Petra Duskova, Lenka Foretova, Ondrej Havranek, Klara Horackova, Milena Hovhannisyan, Lucie Hruskova, Stepan Chvojka, Marketa Janatova, Maria Janikova, Sandra Jelinkova, Pavel Just, Marta Kalousova, Petra Kleiblova, Marcela Kosarova, Monika Koudova, Jan Kral, Michaela Krausova, Vera Krutilkova, Eva Machackova, Katerina Matejkova, Renata Michalovska, Petr Nehasil, Barbora Nemcova, Jan Novotny, Matous Palek, Pavel Pesek, Marketa Safarikova, Ondrej Scheinost, Drahomira Springer, Lenka Stolarova, Viktor Stranecky, Ivan Subrt, Spiros Tavandzis, Eva Tureckova, Kamila Vesela, Zdenka Vlckova, Michal Vocka, Tomas Zima, Libor Macurek, Zdenek Kleibl, the CZECANCA consortium
Publikováno v:
Cancer Medicine, Vol 13, Iss 16, Pp n/a-n/a (2024)
Abstract Background Monoallelic germline pathogenic variants (GPVs) in five Fanconi anemia (FA) genes (BRCA1/FANCS, BRCA2/FANCD1, PALB2/FANCN, BRIP1/FANCJ, and RAD51C/FANCO) confer an increased risk of breast (BC) and/or ovarian (OC) cancer, but the
Externí odkaz:
https://doaj.org/article/a729e3f3d4b64ad89ec8fbe20e608bd3
Autor:
Petra Zemankova, Marta Cerna, Klara Horackova, Corinna Ernst, Jana Soukupova, Marianna Borecka, Britta Blümcke, Leona Cerna, Monika Cerna, Vaclava Curtisova, Tatana Dolezalova, Petra Duskova, Lenka Dvorakova, Lenka Foretova, Ondrej Havranek, Jan Hauke, Eric Hahnen, Miloslava Hodulova, Milena Hovhannisyan, Lucie Hruskova, Marketa Janatova, Maria Janikova, Sandra Jelinkova, Pavel Just, Marcela Kosarova, Monika Koudova, Vera Krutilkova, Eva Machackova, Katerina Matejkova, Renata Michalovska, Adela Misove, Petr Nehasil, Barbora Nemcova, Jan Novotny, Ales Panczak, Pavel Pesek, Ondrej Scheinost, Drahomira Springer, Barbora Stastna, Viktor Stranecky, Ivan Subrt, Spiros Tavandzis, Eva Tureckova, Kamila Vesela, Zdenka Vlckova, Michal Vocka, Barbara Wappenschmidt, Tomas Zima, Zdenek Kleibl, Petra Kleiblova
Publikováno v:
Breast, Vol 75, Iss , Pp 103721- (2024)
Germline CHEK2 pathogenic variants confer an increased risk of female breast cancer (FBC). Here we describe a recurrent germline intronic variant c.1009-118_1009-87delinsC, which showed a splice acceptor shift in RNA analysis, introducing a premature
Externí odkaz:
https://doaj.org/article/550a6d19812d49439f776d55972c1a43
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Predictive modeling is a central technique in neuroimaging to identify brain-behavior relationships and test their generalizability to unseen data. However, data leakage undermines the validity of predictive models by breaching the separatio
Externí odkaz:
https://doaj.org/article/dd2bea4ec50b4543bdd42bc468cb5294
Autor:
Adkinson, Brendan D., Rosenblatt, Matthew, Dadashkarimi, Javid, Tejavibulya, Link, Jiang, Rongtao, Noble, Stephanie, Scheinost, Dustin
Publikováno v:
In Developmental Cognitive Neuroscience December 2024 70
Autor:
Qian, Yanting, Scheinost, Andreas C., Grangeon, Sylvain, Hoving, Alwina, Churakov, Sergey V., Marques Fernandes, Maria
Publikováno v:
In Geochimica et Cosmochimica Acta 15 July 2024 377:19-33