Zobrazeno 1 - 10
of 410
pro vyhledávání: '"217 Medical engineering"'
Autor:
Pedro A. Moreno-Sánchez
Publikováno v:
IEEE Access. 11:38359-38369
publishedVersion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::783f859725493e4913e069885d279909
https://doi.org/10.1109/access.2023.3264270
https://doi.org/10.1109/access.2023.3264270
Publikováno v:
Current Directions in Biomedical Engineering. 8:33-36
Gellan gum is a hydrogel with several applications in ultrasonic imaging, novel drug delivery, and tissue regeneration. As hydrogels are dynamic entities, their viscocelastic and therefore their acoustic properties change over time, which is of inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32ad35687591c82f4e749a623f53c764
https://doi.org/10.1515/cdbme-2022-1010
https://doi.org/10.1515/cdbme-2022-1010
Publikováno v:
Allergo Journal International
Allergo Journal International, In press, ⟨10.1007/s40629-023-00249-6⟩
Allergo Journal International, In press, ⟨10.1007/s40629-023-00249-6⟩
publishedVersion Non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ebbf3216ee684a3780aa84a92701387
https://doi.org/10.1007/s40629-023-00249-6
https://doi.org/10.1007/s40629-023-00249-6
Autor:
Laura Keto, Tiina Manninen
Understanding functions of astrocytes can be greatly enhanced by building and simulating computational models that capture their morphological details. Novel computational tools enable utilization of existing morphological data of astrocytes and buil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acfbeb3e89184c9d1ae9968fa239179c
https://trepo.tuni.fi/handle/10024/148765
https://trepo.tuni.fi/handle/10024/148765
Publikováno v:
Värri, A O, Kallonen, A, Asuroglu, T & Gils, M V 2023, ' Artificial intelligence research in the COVend COVID-19 clinical trial project ', Finnish Journal of eHealth and eWelfare, vol. 15, no. 2, pp. 230-234 . https://doi.org/10.23996/fjhw.126881
Finnish Journal of eHealth and eWelfare
Finnish Journal of eHealth and eWelfare
The COVend project aims at delivering a new effective therapy, FX06, against the SARS-CoV-2 virus infection for the management of the COVID-19 disease in hospitals. Nine of the 17 partners of the project consortium are hospitals responsible for colle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21cd003882c39091542a032c9d7be161
https://cris.vtt.fi/en/publications/8e5afcda-0803-4e85-998f-0a6429b9e1e3
https://cris.vtt.fi/en/publications/8e5afcda-0803-4e85-998f-0a6429b9e1e3
IntroductionIn the core of a brain infarct, perfusion is severely impeded, and neuronal death occurs within minutes. In the penumbra, an area near the core with more remaining perfusion, cells initially remain viable, but activity is significantly re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c91ae721eb16c73134c36058555e8212
https://trepo.tuni.fi/handle/10024/147388
https://trepo.tuni.fi/handle/10024/147388
Publikováno v:
Sensors; Volume 23; Issue 6; Pages: 3080
Bostanci, E, Kocak, E, Unal, M, Guzel, M S, Acici, K & Asuroglu, T 2023, ' Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer ', Sensors, vol. 23, no. 6, 3080 . https://doi.org/10.3390/s23063080
Bostanci, E, Kocak, E, Unal, M, Guzel, M S, Acici, K & Asuroglu, T 2023, ' Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer ', Sensors, vol. 23, no. 6, 3080 . https://doi.org/10.3390/s23063080
Data from omics studies have been used for prediction and classification of various diseases in biomedical and bioinformatics research. In recent years, Machine Learning (ML) algorithms have been used in many different fields related to healthcare sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7eb76ff081d232d31bf6fda61030c34e
https://trepo.tuni.fi/handle/10024/147177
https://trepo.tuni.fi/handle/10024/147177
Publikováno v:
Nano Select. 3:1213-1222
Self-healing composite hydrogels are prepared from sustainable biopolymers by a green chemistry approach and analyzed by physicochemical and mechanical characterization techniques for future injectable anticancer biomaterials. Water-soluble chitosan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c162a9145164c7a82875fe5f334cece9
https://doi.org/10.1002/nano.202100354
https://doi.org/10.1002/nano.202100354
Autor:
Oommen P. Varghese, Robert A. Harris, Vijay Singh Parihar, Sumanta Samanta, Vignesh K. Rangasami, Jay R.K. Samal, Oommen P. Oommen, Heela Sarlus, Austin D. Evans
Publikováno v:
Acta Biomaterialia
Acta Biomaterialia, 142, 36-48. Elsevier / Bunge
Acta Biomaterialia, 142, 36-48. Elsevier / Bunge
Innovative scaffold designs that modulate the local inflammatory microenvironment through favorable macrophage polarization and suppressing oxidative stress are needed for successful clinical translation of regenerative cell therapies and graft integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95692907cb3b2cb838430d09b4b0385a
https://cris.maastrichtuniversity.nl/en/publications/69238b16-3b2e-4d1e-85d5-b45c416f2225
https://cris.maastrichtuniversity.nl/en/publications/69238b16-3b2e-4d1e-85d5-b45c416f2225
Autor:
Tunc Asuroglu
Publikováno v:
Asuroglu, T 2022, ' Complex Human Activity Recognition Using a Local Weighted Approach ', IEEE Access, vol. 10, pp. 101207-101219 . https://doi.org/10.1109/ACCESS.2022.3208686
Due to the life expectancy increase, there will be a workforce shortage in elderly care sector in forthcoming years. Ambient Assisted Living (AAL) systems can cope with this issue. A subset of AAL, Human activity recognition (HAR) provides an efficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7c3dfde4468414aad95b1e7fe4049c7
https://cris.vtt.fi/en/publications/aead051e-2a3f-4377-9d2a-26bd0b121747
https://cris.vtt.fi/en/publications/aead051e-2a3f-4377-9d2a-26bd0b121747