Výsledky vyhledávání

Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome – the MADDEC study

Autor: Markku Eskola, Jussi Hernesniemi, Kjell Nikus, Terho Lehtimäki, Juho Tynkkynen, Niku Oksala, Pashupati P. Mishra, Leo-Pekka Lyytikäinen, Kari Antila, Shadi Mahdiani

Publikováno v: Ann Med
Hernesniemi, J A, Mahdiani, S, Tynkkynen, J A, Lyytikäinen, L-P, Mishra, P P, Lehtimäki, T, Eskola, M, Nikus, K, Antila, K & Oksala, N 2019, ' Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome – the MADDEC study ', Annals of Medicine, vol. 51, no. 2, pp. 156-163 . https://doi.org/10.1080/07853890.2019.1596302

Objective: Investigation of the clinical potential of extensive phenotype data and machine learning (ML) in the prediction of mortality in acute coronary syndrome (ACS). Methods: The value of ML and extensive clinical data was analyzed in a retrospec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36336f18be49d07e2c1b1346539ed4e7

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Role of apolipoprotein C‐III overproduction in diabetic dyslipidaemia

Autor: Nina Lundbom, Linda Andersson, Sanni Söderlund, Juhani Kahri, Haihong Zhou, Martin Adiels, Marja-Riitta Taskinen, Annika Thorsell, Kirsi H. Pietiläinen, Antti Hakkarainen, Niina Matikainen, Elias Björnson, Carina Sihlbom, Chris J. Packard, Jan Borén

Publikováno v: Diabetes, Obesity and Metabolism. 21:1861-1870

openaire: EC/H2020/305707/EU//RESOLVE Aims: To investigate how apolipoprotein C-III (apoC-III) metabolism is altered in subjects with type 2 diabetes, whether the perturbed plasma triglyceride concentrations in this condition are determined primarily

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::440a62ab2258538c55b37995b161125f
https://doi.org/10.1111/dom.13744

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Bioactive glass ions induce efficient osteogenic differentiation of human adipose stem cells encapsulated in gellan gum and collagen type I hydrogels

Autor: Toni Montonen, Heikki Häkkänen, Kaisa Vuornos, Minna Kellomäki, Janne T. Koivisto, Birhanu Belay, Heini Huhtala, Jari Hyttinen, Leena Hupa, Miina Ojansivu, Janne A. Ihalainen, Susanna Miettinen, Minna Kääriäinen

Publikováno v: Materials Science and Engineering: C. 99:905-918

Background Due to unmet need for bone augmentation, our aim was to promote osteogenic differentiation of human adipose stem cells (hASCs) encapsulated in gellan gum (GG) or collagen type I (COL) hydrogels with bioactive glass (experimental glass 2-06

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::413a386a47f119366ebe28b0811959b9
https://doi.org/10.1016/j.msec.2019.02.035

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Porous Silicon as a Platform for Radiation Theranostics Together with a Novel RIB-Based Radiolanthanoid

Autor: Jarno Salonen, Sanjeev Ranjan, Osku Alanen, Hélder A. Santos, Ulli Köster, Anu J. Airaksinen, Ermei Mäkilä, Ulrika Jakobsson, Asénath Etile, Kerttuli Helariutta

Publikováno v: 'Contrast Media & Molecular Imaging ', vol: 2019, pages: 3728563-1-3728563-9 (2019)
Contrast Media & Molecular Imaging, Vol 2019 (2019)
Contrast Media & Molecular Imaging

Mesoporous silicon (PSi) is biocompatible and tailorable material with high potential in drug delivery applications. Here, we report of an evaluation of PSi as a carrier platform for theranostics by delivering a radioactive ion beam- (RIB-) based rad

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1debb4cb29eda9d001419076188f38f6
https://doi.org/10.1155/2019/3728563

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Technologies for fall risk assessment and conceptual design in personal health record system

Autor: Mikko Lindholm, Raija Korpelainen, Timo Jämsä, Heidi Similä, Milla Immonen

Publikováno v: Finnish Journal of eHealth and eWelfare
Finnish Journal of eHealth and eWelfare, Vol 11, Iss 1-2 (2019)
Immonen, M, Similä, H, Lindholm, M, Korpelainen, R & Jämsä, T 2019, ' Technologies for fall risk assessment and conceptual design in personal health record system ', Finnish Journal of eHealth and eWelfare, vol. 11, no. 1-2, pp. 53-67 . https://doi.org/10.23996/fjhw.73258

Falls among older people are a major economic and public health problem. Due to the demographic change and aging of populations, there is an urgent need for accurate screening tools to identify those at risk to target effective falls prevention strat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4d5ac9ed6c21aa2e7ede0f4df99e620
https://journal.fi/finjehew/article/view/73258

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Multi-modality of polysomnography signals’ fusion for automatic sleep scoring

Autor: Rui Yan, Karen Spruyt, Lili Tian, Xueqiao Li, Tapani Ristaniemi, Jihui Zhang, Fengyu Cong, Lai Wei, Zhiqiang Wang, Chi Zhang

Publikováno v: Biomedical Signal Processing and Control. 49:14-23

Objective The study aims to develop an automatic sleep scoring method by fusing different polysomnography (PSG) signals and further to investigate PSG signals’ contribution to the scoring result. Methods Eight combinations of four modalities of PSG

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0641a2a7d311362d025e46263e3a4c24
https://doi.org/10.1016/j.bspc.2018.10.001

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