Zobrazeno 1 - 10
of 2 791
pro vyhledávání: '"Macklin P"'
In this work, we present a GPU-accelerated library for the underlying components of Kolmogorov-Arnold Networks (KANs), along with an algorithm to eliminate bounded grids in KANs. The GPU-accelerated library reduces the computational complexity of Bas
Externí odkaz:
http://arxiv.org/abs/2408.11200
Autor:
Ruscone, Marco, Checcoli, Andrea, Heiland, Randy, Barillot, Emmanuel, Macklin, Paul, Calzone, Laurence, Noël, Vincent
Multiscale models provide a unique tool for studying complex processes that study events occurring at different scales across space and time. In the context of biological systems, such models can simulate mechanisms happening at the intracellular lev
Externí odkaz:
http://arxiv.org/abs/2406.18371
Mechanistic learning, the synergistic combination of knowledge-driven and data-driven modeling, is an emerging field. In particular, in mathematical oncology, the application of mathematical modeling to cancer biology and oncology, the use of mechani
Externí odkaz:
http://arxiv.org/abs/2312.07026
HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors
Autor:
Zhang, Shutong, Qiao, Yi-Ling, Zhu, Guanglei, Heiden, Eric, Turpin, Dylan, Liu, Jingzhou, Lin, Ming, Macklin, Miles, Garg, Animesh
Various heuristic objectives for modeling hand-object interaction have been proposed in past work. However, due to the lack of a cohesive framework, these objectives often possess a narrow scope of applicability and are limited by their efficiency or
Externí odkaz:
http://arxiv.org/abs/2311.16552
Autor:
Laubenbacher, Reinhard, Adler, Fred, An, Gary, Castiglione, Filippo, Eubank, Stephen, Fonseca, Luis L., Glazier, James, Helikar, Tomas, Jett-Tilton, Marti, Kirschner, Denise, Macklin, Paul, Mehrad, Borna, Moore, Beth, Pasour, Virginia, Shmulevich, Ilya, Smith, Amber, Voigt, Isabel, Yankeelov, Thomas E., Ziemssen, Tjalf
Publikováno v:
npj Syst Biol Appl 10, 19 (2024). PMID: 38365857
Medical digital twins are computational models of human biology relevant to a given medical condition, which can be tailored to an individual patient, thereby predicting the course of disease and individualized treatments, an important goal of person
Externí odkaz:
http://arxiv.org/abs/2310.18374
Autor:
Leanna Woods, Rebekah Eden, Sophie Macklin, Jenna Krivit, Rhona Duncan, Helen Murray, Raelene Donovan, Clair Sullivan
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Rural populations experience ongoing health inequities with disproportionately high morbidity and mortality rates, but digital health in rural settings is poorly studied. Our research question was: How does digital health influenc
Externí odkaz:
https://doaj.org/article/3f67d4b9a29c406c9d4544aa778562a6
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Background People experiencing homelessness have increased prevalence, morbidity, and mortality of cardiovascular disease (CVD), attributable to several traditional and non-traditional risk factors. While this burden is well-known, mainstrea
Externí odkaz:
https://doaj.org/article/a5c6c23120634fc6b5641c382482c489
Autor:
Agnes Cheong, Florin Craciun, Hervé Husson, Joseph Gans, Javier Escobedo, Yi-Chien Chang, Lilu Guo, Mariana Goncalves, Nathan Kaplan, Laurie A. Smith, Sarah Moreno, Joseph Boulanger, Shiguang Liu, Jacqueline Saleh, Mindy Zhang, Anna S. Blazier, Weiliang Qiu, Andrew Macklin, Tejaswi Iyyanki, Clément Chatelain, Shameer Khader, Thomas A. Natoli, Oxana Ibraghimov-Beskrovnaya, Dimitry Ofengeim, Jonathan D. Proto
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-15 (2024)
Abstract While significant advances have been made in understanding renal pathophysiology, less is known about the role of glycosphingolipid (GSL) metabolism in driving organ dysfunction. Here, we used a small molecule inhibitor of glucosylceramide s
Externí odkaz:
https://doaj.org/article/68828197b6744988a8444a603fea8bde
Autor:
Turpin, Dylan, Zhong, Tao, Zhang, Shutong, Zhu, Guanglei, Liu, Jingzhou, Singh, Ritvik, Heiden, Eric, Macklin, Miles, Tsogkas, Stavros, Dickinson, Sven, Garg, Animesh
Multi-finger grasping relies on high quality training data, which is hard to obtain: human data is hard to transfer and synthetic data relies on simplifying assumptions that reduce grasp quality. By making grasp simulation differentiable, and contact
Externí odkaz:
http://arxiv.org/abs/2306.08132
Autor:
Thineskrishna Anbarasan, Mutie Raslan, Kanchan Ghosh, Philip Macklin, Claudia Mercader, Tom Leslie, Freddie C. Hamdy, Richard Colling, Lisa Browning, Ian Roberts, Clare Verrill, Richard J. Bryant, Francisco Lopez, Alastair D. Lamb
Publikováno v:
BJUI Compass, Vol 5, Iss 9, Pp 834-836 (2024)
Externí odkaz:
https://doaj.org/article/e2e7789f532f4f00a04d816a097ae644