Zobrazeno 1 - 10 of 231 pro vyhledávání: '"Thomas Parsons"'
1
Akademický článek
Exploring Adaptive Virtual Reality Systems Used in Interventions for Children With Autism Spectrum Disorder: Systematic Review
Autor: Luna Maddalon, Maria Eleonora Minissi, Thomas Parsons, Amaia Hervas, Mariano Alcaniz
Publikováno v: Journal of Medical Internet Research, Vol 26, p e57093 (2024)
BackgroundAdaptive systems serve to personalize interventions or training based on the user’s needs and performance. The adaptation techniques rely on an underlying engine responsible for processing incoming data and generating tailored responses.
Externí odkaz: https://doaj.org/article/8f3bea7b890c433eba77c0331d7f30a5
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2
Akademický článek
Patella resurfacing during total knee arthroplasty is cost-effective and has lower re-operation rates compared to non-resurfacing
Autor: Thomas Parsons, Talal Al-Jabri, Nick D. Clement, Nicola Maffulli, Deiary F. Kader
Publikováno v: Journal of Orthopaedic Surgery and Research, Vol 16, Iss 1, Pp 1-9 (2021)
Abstract Background The decision to resurface the patella as part of total knee arthroplasty may be influenced by the surgeon’s preference, education, training, tradition and geographic location. Advocates for non-resurfacing or selectively resurfa
Externí odkaz: https://doaj.org/article/ef36f8f156314ad8a2eb08ddda4ff3ef
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3
Akademický článek
International Survey of Practice for Prophylactic Systemic Antibiotic Therapy in Hip and Knee Arthroplasty
Autor: Thomas Parsons, Jonathan French, Takeshi Oshima, Francisco Figueroa, Thomas Neri, Antonio Klasan, Sven Putnis
Publikováno v: Antibiotics, Vol 11, Iss 11, p 1669 (2022)
(1) Background: Prophylactic systemic antibiotics are acknowledged to be an important part of mitigating prosthetic joint infections. Controversy persists regarding optimal antibiotic regimes. We sought to evaluate current international antibiotics g
Externí odkaz: https://doaj.org/article/fd47e9a7cf5d492ab275b3c85c32c8b9
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4
Akademický článek
CRISPR knockout screening identifies combinatorial drug targets in pancreatic cancer and models cellular drug response
Autor: Karol Szlachta, Cem Kuscu, Turan Tufan, Sara J. Adair, Stephen Shang, Alex D. Michaels, Matthew G. Mullen, Natasha Lopes Fischer, Jiekun Yang, Limin Liu, Prasad Trivedi, Edward B. Stelow, P. Todd Stukenberg, J. Thomas Parsons, Todd W. Bauer, Mazhar Adli
Publikováno v: Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Predicting the response to chemotherapy is a major goal of cancer research. Here the authors use CRISPR knockout screens in pancreatic ductal adenocarcinoma cells to identify deletions synergistic with MEK inhibitors.
Externí odkaz: https://doaj.org/article/5878576fa2b34029942f52a332a9c423
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