Zobrazeno 1 - 10
of 43 333
pro vyhledávání: '"Duggan A"'
Autor:
Duggan Anne E.
Publikováno v:
Open Cultural Studies, Vol 5, Iss 1, Pp 208-220 (2021)
The Frères Cogniard produced immensely popular vaudeville féeries in the nineteenth century and among them most popular was The White Cat (1852), which grafts two tales together by Marie-Catherine d’Aulnoy: “The White Cat” and “Belle-Belle,
Externí odkaz:
https://doaj.org/article/c8f8a14103e348e2b597d441cdfa5f50
Autor:
Bhawsar, Praphulla MS, Ramin, Cody, Lenz, Petra, Duggan, Máire A, Harris, Alexandra R, Jenkins, Brittany, Cora, Renata, Abubakar, Mustapha, Gierach, Gretchen, Saltz, Joel, Almeida, Jonas S
Crown-like structures (CLS) in breast adipose tissue are formed as a result of macrophages clustering around necrotic adipocytes in specific patterns. As a histologic marker of local inflammation, CLS could have potential diagnostic utility as a biom
Externí odkaz:
http://arxiv.org/abs/2409.08275
Autor:
Ge, Aaron, Saha, Monjoy, Duggan, Maire A., Lenz, Petra, Abubakar, Mustapha, García-Closas, Montserrat, Balasubramanian, Jeya, Almeida, Jonas S., Bhawsar, Praphulla MS
Background: Tissue Microarrays (TMAs) significantly increase analytical efficiency in histopathology and large-scale epidemiologic studies by allowing multiple tissue cores to be scanned on a single slide. The individual cores can be digitally extrac
Externí odkaz:
http://arxiv.org/abs/2407.21233
Autor:
Gill, Erin E., Jia, Baofeng, Murall, Carmen Lia, Poujol, Raphaël, Anwar, Muhammad Zohaib, John, Nithu Sara, Richardsson, Justin, Hobb, Ashley, Olabode, Abayomi S., Lepsa, Alexandru, Duggan, Ana T., Tyler, Andrea D., N'Guessan, Arnaud, Kachru, Atul, Chan, Brandon, Yoshida, Catherine, Yung, Christina K., Bujold, David, Andric, Dusan, Su, Edmund, Griffiths, Emma J., Van Domselaar, Gary, Jolly, Gordon W., Ward, Heather K. E., Feher, Henrich, Baker, Jared, Simpson, Jared T., Uddin, Jaser, Ragoussis, Jiannis, Eubank, Jon, Fritz, Jörg H., Gálvez, José Héctor, Fang, Karen, Cullion, Kim, Rivera, Leonardo, Xiang, Linda, Croxen, Matthew A., Shiell, Mitchell, Prystajecky, Natalie, Quirion, Pierre-Olivier, Bajari, Rosita, Rich, Samantha, Mubareka, Samira, Moreira, Sandrine, Cain, Scott, Sutcliffe, Steven G., Kraemer, Susanne A., Joly, Yann, Alturmessov, Yelizar, consortium, CPHLN, consortium, CanCOGeN, Academic, VirusSeq Data Portal, network, Health, Fiume, Marc, Snutch, Terrance P., Bell, Cindy, Lopez-Correa, Catalina, Hussin, Julie G., Joy, Jeffrey B., Colijn, Caroline, Gordon, Paul M. K., Hsiao, William W. L., Poon, Art F. Y., Knox, Natalie C., Courtot, Mélanie, Stein, Lincoln, Otto, Sarah P., Bourque, Guillaume, Shapiro, B. Jesse, Brinkman, Fiona S. L.
The COVID-19 pandemic led to a large global effort to sequence SARS-CoV-2 genomes from patient samples to track viral evolution and inform public health response. Millions of SARS-CoV-2 genome sequences have been deposited in global public repositori
Externí odkaz:
http://arxiv.org/abs/2405.04734
Autor:
Jin, Mike, Duggan, Nicole M, Bashyakarla, Varoon, Mendicuti, Maria Alejandra Duran, Hallisey, Stephen, Bernier, Denie, Stegeman, Joseph, Duhaime, Erik, Kapur, Tina, Goldsmith, Andrew J
Accurate and scalable annotation of medical data is critical for the development of medical AI, but obtaining time for annotation from medical experts is challenging. Gamified crowdsourcing has demonstrated potential for obtaining highly accurate ann
Externí odkaz:
http://arxiv.org/abs/2312.10198
Autor:
Berend H. H. Beishuizen, Mart L. Stein, Joeri S. Buis, Alma Tostmann, Caroline Green, Jim Duggan, Máire A. Connolly, Chantal P. Rovers, Aura Timen
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Generating insights into resource demands during outbreaks is an important aspect of pandemic preparedness. The EU PANDEM-2 project used resource modelling to explore the demand profile for key resources during pandemic scenarios.
Externí odkaz:
https://doaj.org/article/2736a79fc5e14c9ba82aede9e843cc61
Autor:
Bonnita Werner, Elyse Powell, Jennifer Duggan, Marilisa Cortesi, Yeh Chen Lee, Vivek Arora, Ramanand Athavale, Michael Dean, Kristina Warton, Caroline E. Ford
Publikováno v:
Molecular Oncology, Vol 18, Iss 11, Pp 2668-2683 (2024)
The emergence of targeted therapies has transformed ovarian cancer treatment. However, biomarker profiling for precision medicine is limited by access to quality, tumour‐enriched tissue samples. The use of cell‐free DNA (cfDNA) in ascites present
Externí odkaz:
https://doaj.org/article/a862393c1ac74143b9221afef01ea9a5
Autor:
Keenan A. Walker, Yang An, Abhay Moghekar, Ruin Moaddel, Michael R. Duggan, Zhongsheng Peng, Qu Tian, Luke C. Pilling, Shannon M. Drouin, Mark A. Espeland, Stephen R Rapp, Kathleen M Hayden, Aladdin H. Shadyab, Ramon Casanova, Madhav Thambisetty, Peter R. Rapp, Dimitrios Kapogiannis, Luigi Ferrucci, Susan M. Resnick
Publikováno v:
Molecular Neurodegeneration, Vol 19, Iss 1, Pp 1-18 (2024)
Abstract Background Apolipoprotein E (APOE) ε4 allele is the strongest genetic risk factor for late onset Alzheimer’s disease (AD). This case-cohort study used targeted plasma biomarkers and large-scale proteomics to examine the biological mechani
Externí odkaz:
https://doaj.org/article/ee7fd18cf0994326a5954b2b904a2e34
Publikováno v:
Journal of Eating Disorders, Vol 12, Iss 1, Pp 1-10 (2024)
Abstract Background Previous studies of emotion recognition abilities of people with eating disorders used accuracy to identify performance deficits for these individuals. The current study examined eating disorder symptom severity as a function of e
Externí odkaz:
https://doaj.org/article/ee14b9f3242e4ea5843d69a8744d3a16
Autor:
Duggan, Nicole M, Jin, Mike, Mendicuti, Maria Alejandra Duran, Hallisey, Stephen, Bernier, Denie, Selame, Lauren A, Asgari-Targhi, Ameneh, Fischetti, Chanel E, Lucassen, Ruben, Samir, Anthony E, Duhaime+, Erik, Kapur, Tina, Goldsmith, Andrew J
Study Objective: Machine learning models have advanced medical image processing and can yield faster, more accurate diagnoses. Despite a wealth of available medical imaging data, high-quality labeled data for model training is lacking. We investigate
Externí odkaz:
http://arxiv.org/abs/2306.06773