Zobrazeno 1 - 10
of 941
pro vyhledávání: '"P, Siemers"'
Artificial intelligence is bringing ever new functionalities to the realm of mobile devices that are now considered essential (e.g., camera and voice assistants, recommender systems). Yet, operating artificial intelligence takes up a substantial amou
Externí odkaz:
http://arxiv.org/abs/2308.04436
Autor:
Ying Zhu, Tao Huang, John Powderly, Aung Naing, Manish R Patel, Matthew H Taylor, Rong Deng, Kyu Hong, Luke Chung, Hongyu Tian, Wen Hong Lin, Paul Woodard, Nathan Siemers, Hong Xiang, Donna Valencia, X Charlene Liao, Xiao Min Schebye
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 12, Iss 11 (2024)
Purpose In this first-in-human dose escalation study, the safety and efficacy of IO-108, a fully human monoclonal antibody targeting leukocyte immunoglobulin-like receptor B2 (LILRB2), was investigated in patients with advanced solid tumors as monoth
Externí odkaz:
https://doaj.org/article/ec424b0e9a4248bc970eb99e67fab66d
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36722- (2024)
The pandemic and climate change are mortality salience triggers. Environmental issues, attitudes, and climate change risk perceptions were hypothesised to impact how individuals perceived the threat of COVID-19 and climate change during the pandemic.
Externí odkaz:
https://doaj.org/article/e58ccb6f7d1045a8be2fd432af284468
Publikováno v:
Ecosphere, Vol 15, Iss 5, Pp n/a-n/a (2024)
Abstract In seasonal environments, organisms must synchronize their life cycles to conditions favorable for growth and reproduction. Because season length varies geographically, local adaptation should arise in traits that regulate phenological respo
Externí odkaz:
https://doaj.org/article/fd35d25ff1dd4845b5df667d60a573ca
Akademický článek
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Akademický článek
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Akademický článek
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Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The random forest (RF) and support vector machine (SVM) methods are mainstays in molecular machine learning (ML) and compound property prediction. We have explored in detail how binary classification models derived using these algorithms arr
Externí odkaz:
https://doaj.org/article/4ca2070bb1fb4368b7ebf806a9266fb9
Autor:
Mira Behnke, Paul Klemm, Philipp Dahlke, Blerina Shkodra, Baerbel Beringer-Siemers, Justyna Anna Czaplewska, Steffi Stumpf, Paul M. Jordan, Stephanie Schubert, Stephanie Hoeppener, Antje Vollrath, Oliver Werz, Ulrich S. Schubert
Publikováno v:
International Journal of Pharmaceutics: X, Vol 5, Iss , Pp 100173- (2023)
Dextran-based polymers, such as ethoxy acetalated dextran (Ace-DEX), are increasingly becoming the focus of research as they offer great potential for the development of polymer-based nanoparticles as drug delivery vehicles. Their major advantages ar
Externí odkaz:
https://doaj.org/article/b5255fcdcde943ff8dde7959ac12a97d
Autor:
Kathleen A. Welsh‐Bohmer, Geoffrey A. Kerchner, Shobha Dhadda, Miguel Garcia, David S. Miller, Fanni Natanegara, Lars Lau Raket, Weining Robieson, Eric R. Siemers, Maria C. Carrillo, Christopher J. Weber
Publikováno v:
Alzheimer’s & Dementia: Translational Research & Clinical Interventions, Vol 9, Iss 4, Pp n/a-n/a (2023)
Abstract The efficient and accurate execution of clinical trials testing novel treatments for Alzheimer's disease (AD) is a critical component of the field's collective efforts to develop effective disease‐modifying treatments for AD. The lengthy a
Externí odkaz:
https://doaj.org/article/b8fe5eb288c64421be7d95e7fa3df0d5