Összesen 112 elem 12 oldalon, 10 listázva, a(z) 1. oldal megjelenítve.Következő oldalÁtlépés a keresőbeIn English
Megjegyzés: Funding Agency and Grant Number: National Research, Development and Innovation Office, Hungary under the frame of ERA PerMed [2019-2.1.7-ERA-NET-2020-00005, ERAPERMED2019-108]; Thematic Excellence Programme (Tmaterleti Kivlsgi Program) of the Ministry for Innovation and Technology in Hungary, within the framework of the Neurology and Translational Biotechnology thematic programmes of the Semm [2020-4.1.1.-TKP2020]; Hungarian National Research, Development, and Innovation Office [K 143391, PD146014]; Hungarian Academy of Sciences (MTA-SE Neuropsychopharmacology and Neurochemistry Research Group); PhD scholarship from Doctoral School of Pharmaceutical Sciences, Semmelweis University, Hungary; Hungarian Brain Research Program [2017-1.2.1-NKP-2017-00002]; Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences; New National Excellence Program of the Ministry for Innovation and Technology from the source of the National National Research, Development and Innovation Fund [NKP-21-4-I-SE-15]; Hungarian Brain Research Program 3.0 [NAP2022-I-4/2022]; Japan Society for the Promotion of Science (Postdoctoral Fellowships for Research in Japan, standard program) [P20809]; PhD scholarship from Doctoral School of Mental Health Sciences, Semmelweis University, Hungary; Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-EGA funding scheme [TKP2021-EGA-25]; National Research, Development, and Innovation Fund of Hungary [TKP2021-EGA-02]
Funding text: This study was supported by the Hungarian Academy of Sciences (MTA-SE Neuropsychopharmacology and Neurochemistry Research Group); by the Hungarian Brain Research Program (Grant: 2017-1.2.1-NKP-2017-00002); by the Hungarian Brain Research Program 3.0 (NAP2022-I-4/2022); by the Thematic Excellence Programme (Temateruleti Kivalosagi Program, 2020-4.1.1.-TKP2020) of the Ministry for Innovation and Technology in Hungary, within the framework of the Neurology and Translational Biotechnology thematic programs of the Semmelweis University; by project no. TKP2021-EGA-25 which has been implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-EGA funding scheme; by the National Research, Development, and Innovation Fund of Hungary under Grant TKP2021-EGA-02; by the National Research, Development and Innovation Office, Hungary (2019-2.1.7-ERA-NET-2020-00005), under the frame of ERA PerMed (ERAPERMED2019-108); by the Hungarian National Research, Development, and Innovation Office (grant numbers: K 143391 and and PD146014); and by the UNKP-21-4-I-SE-15 New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund. Dora Torok is a recipient of PhD scholarship from Doctoral School of Pharmaceutical Sciences, Semmelweis University, Hungary. Tamas Nagy is a recipient of PhD scholarship from Doctoral School of Mental Health Sciences, Semmelweis University, Hungary. Gabor Hullam is a recipient of Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences. Peter Petschner is an international research fellow of Japan Society for the Promotion of Science (Postdoctoral Fellowships for Research in Japan, standard program, P20809). The sponsors had no further role in the study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.Megjegyzés: Funding Agency and Grant Number: Hungarian National Research, Development and Innovation Office [2020-1.1.2-PIACI-KFI-2021-00279]; Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund [TKP2021-EGA-02]; National Cancer Institute; Foundation for the National Institutes of Health
Funding text: This research was funded by the Hungarian National Research, Development and Innovation Office (Project ID: 2020-1.1.2-PIACI-KFI-2021-00279, title: AI and 3D design based minimally invasive robotic surgery) . Project no. TKP2021-EGA-02 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-EGA funding scheme. The authors acknowledge the National Cancer Institute and the Foundation for the National Institutes of Health, and their critical role in the creation of the free publicly available LIDC/IDRI Database [43,44] used in this study. The dataset was accessed through The Cancer Imaging Archive (TCIA) [45] .Megjegyzés: Funding Agency and Grant Number: New National Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund [71718]
Funding text: This research has been conducted using the UK Biobank Resource under Application Number 71718. This work uses data provided by patients and collected by the NHS as part of their care and support. Copyright 2019, NHS England. Re-used with the permission of the UK Biobank. All rights reserved.Megjegyzés: Abstracts of the World Congress of Psychiatric Genetics (WCPG), October 19-23, 2025
Megjegyzés: Funding Agency and Grant Number: Hungarian National Research, Development, and Innovation Office [K 139330, PD 146014, PD 134449]; Hungarian Brain Research Program 3.0 [NAP2022-I-4/2022]; Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund [TKP2021-EGA-25, TKP2021-EGA-02]; European Union [RRF-2.3.1-21-2022-00004]; Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences; Academy of Finland [ERAPERMED2019-108]; Catalan Department of Health [ERAPERMED2019-108, SLD002/19/000002]; [2019-2.1.7-ERA-NET-2020-00005]; [OTKA K 143391]; [EKOP-2024-68]
Funding text: This study was supported by the Hungarian National Research, Development, and Innovation Office 2019-2.1.7-ERA-NET-2020-00005 under the frame of ERA PerMed (ERAPERMED2019-108) ; by the Hungarian National Research, Development, and Innovation Office OTKA K 143391, K 139330, PD 146014, and PD 134449 grants; by the Hungarian Brain Research Program 3.0 (NAP2022-I-4/2022) ; and by TKP2021-EGA-25 and TKP2021-EGA-02, supported by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, under the TKP2021-EGA funding scheme; and the European Union project [RRF-2.3.1-21-2022-00004] within the framework of the Artificial Intelligence National Laboratory. Dora Torok is supported by EKOP-2024-68. Nora Eszlari is supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences. The study was funded by the Academy of Finland under the frame of ERA PerMed (TRAJECTOME project, ERAPERMED2019-108) . The Catalan cohort was extracted from the Catalan Health Surveillance System database, owned and managed by the Catalan Health Service, with the earnest collaboration of the Digitalization for the Sustainability of the Healthcare (DS3) -IDIBELL group. The study was supported by the Catalan Department of Health (SLD002/19/000002) under the frame of ERA PerMed (ERAPERMED2019-108) .