Zobrazeno 1 - 10
of 7 418
pro vyhledávání: '"A. Lubitz"'
Autor:
Kwon, Bum Chul, Friedman, Samuel, Xu, Kai, Lubitz, Steven A, Philippakis, Anthony, Batra, Puneet, Ellinor, Patrick T, Ng, Kenney
Machine learning models built on training data with multiple modalities can reveal new insights that are not accessible through unimodal datasets. For example, cardiac magnetic resonance images (MRIs) and electrocardiograms (ECGs) are both known to c
Externí odkaz:
http://arxiv.org/abs/2312.00857
Publikováno v:
Information Processing in Agriculture, Vol 11, Iss 4, Pp 438-456 (2024)
Modelling the energy use and microclimate of a greenhouse can be a valuable tool for commercial growers, making it possible to predict the impact of making changes to greenhouse systems and operation. This allows energy saving scenarios to be identif
Externí odkaz:
https://doaj.org/article/08ae81a0478d46eca26389e44be02c34
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Since flow characteristics are still largely unexplored for high-pressure homogenization, we investigated particle break-up at different Reynolds numbers and transition ranges in two channels (Y- and Z-channel). While the channel geometries
Externí odkaz:
https://doaj.org/article/9abb1cb5948545e4b675f164405f9fc3
Human-Robot Interaction (HRI) becomes more and more important in a world where robots integrate fast in all aspects of our lives but HRI applications depend massively on the utilized robotic system as well as the deployment environment and cultural d
Externí odkaz:
http://arxiv.org/abs/2308.05627
Autor:
Gareth Hawkes, Robin N. Beaumont, Zilin Li, Ravi Mandla, Xihao Li, Christine M. Albert, Donna K. Arnett, Allison E. Ashley-Koch, Aneel A. Ashrani, Kathleen C. Barnes, Eric Boerwinkle, Jennifer A. Brody, April P. Carson, Nathalie Chami, Yii-Der Ida Chen, Mina K. Chung, Joanne E. Curran, Dawood Darbar, Patrick T. Ellinor, Myrian Fornage, Victor R. Gordeuk, Xiuqing Guo, Jiang He, Chii-Min Hwu, Rita R. Kalyani, Robert Kaplan, Sharon L. R. Kardia, Charles Kooperberg, Ruth J. F. Loos, Steven A. Lubitz, Ryan L. Minster, Take Naseri, Satupa’itea Viali, Braxton D. Mitchell, Joanne M. Murabito, Nicholette D. Palmer, Bruce M. Psaty, Susan Redline, M. Benjamin Shoemaker, Edwin K. Silverman, Marilyn J. Telen, Scott T. Weiss, Lisa R. Yanek, Hufeng Zhou, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ching-Ti Liu, Kari E. North, Anne E. Justice, Jonathan M. Locke, Nick Owens, Anna Murray, Kashyap Patel, Timothy M. Frayling, Caroline F. Wright, Andrew R. Wood, Xihong Lin, Alisa Manning, Michael N. Weedon
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract The role of rare non-coding variation in complex human phenotypes is still largely unknown. To elucidate the impact of rare variants in regulatory elements, we performed a whole-genome sequencing association analysis for height using 333,100
Externí odkaz:
https://doaj.org/article/b2e3a91ecb614324b7f2fdd7370d5155
Autor:
Lubitz, Larissa J.1,2,3 (AUTHOR), Rieger, Harden1,2 (AUTHOR), Leneweit, Gero1,2,3 (AUTHOR) gero.leneweit2@kit.edu
Publikováno v:
Scientific Reports. 11/14/2024, Vol. 12 Issue 1, p1-16. 16p.
Autor:
James P. Pirruccello, Paolo Di Achille, Seung Hoan Choi, Joel T. Rämö, Shaan Khurshid, Mahan Nekoui, Sean J. Jurgens, Victor Nauffal, Shinwan Kany, FinnGen, Kenney Ng, Samuel F. Friedman, Puneet Batra, Kathryn L. Lunetta, Aarno Palotie, Anthony A. Philippakis, Jennifer E. Ho, Steven A. Lubitz, Patrick T. Ellinor
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Increased left atrial volume and decreased left atrial function have long been associated with atrial fibrillation. The availability of large-scale cardiac magnetic resonance imaging data paired with genetic data provides a unique opportunit
Externí odkaz:
https://doaj.org/article/28dcb362d1d747399f72a9d9686b4b32
Autor:
Kwon, Bum Chul, Kartoun, Uri, Khurshid, Shaan, Yurochkin, Mikhail, Maity, Subha, Brockman, Deanna G, Khera, Amit V, Ellinor, Patrick T, Lubitz, Steven A, Ng, Kenney
Disease risk models can identify high-risk patients and help clinicians provide more personalized care. However, risk models developed on one dataset may not generalize across diverse subpopulations of patients in different datasets and may have unex
Externí odkaz:
http://arxiv.org/abs/2209.06378
Publikováno v:
In Information Processing in Agriculture December 2024 11(4):438-456
Autor:
Lubitz, Andrea, Woo, Karen
Publikováno v:
In Seminars in Vascular Surgery December 2024 37(4):369-374