Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Derek, Beaton"'
Autor:
Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Leen Al‐Omran, Duminda N. Wijeysundera, Mohamad A. Hussain, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche‐Nagle, Mohammed Al‐Omran
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 17 (2024)
Background Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision‐making but remain limited. We developed machine learning algorithms that predict 1‐year strok
Externí odkaz:
https://doaj.org/article/a397c931857b4a9ea46f68b740f07f3d
Autor:
Ben Li, Raj Verma, Derek Beaton, Hani Tamim, Mohamad A. Hussain, Jamal J. Hoballah, Douglas S. Lee, Duminda N. Wijeysundera, Charles de Mestral, Muhammad Mamdani, Mohammed Al-Omran
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Lower extremity open revascularization is a treatment option for peripheral artery disease that carries significant peri-operative risks; however, outcome prediction tools remain limited. Using machine learning (ML), we developed automated a
Externí odkaz:
https://doaj.org/article/ba4eb44b6da0438f9456f9c8a0d30306
Autor:
Ben Li, Badr Aljabri, Raj Verma, Derek Beaton, Mohamad A. Hussain, Douglas S. Lee, Duminda N. Wijeysundera, Charles de Mestral, Muhammad Mamdani, Mohammed Al‐Omran
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 9 (2024)
Background Lower extremity endovascular revascularization for peripheral artery disease carries nonnegligible perioperative risks; however, outcome prediction tools remain limited. Using machine learning, we developed automated algorithms that predic
Externí odkaz:
https://doaj.org/article/5c489d75b760482c9ccbdb9b29d8184d
Autor:
Miracle Ozzoude, Brenda Varriano, Derek Beaton, Joel Ramirez, Sabrina Adamo, Melissa F. Holmes, Christopher J. M. Scott, Fuqiang Gao, Kelly M. Sunderland, Paula McLaughlin, Maged Goubran, Donna Kwan, Angela Roberts, Robert Bartha, Sean Symons, Brian Tan, Richard H. Swartz, Agessandro Abrahao, Gustavo Saposnik, Mario Masellis, Anthony E. Lang, Connie Marras, Lorne Zinman, Christen Shoesmith, Michael Borrie, Corinne E. Fischer, Andrew Frank, Morris Freedman, Manuel Montero-Odasso, Sanjeev Kumar, Stephen Pasternak, Stephen C. Strother, Bruce G. Pollock, Tarek K. Rajji, Dallas Seitz, David F. Tang-Wai, John Turnbull, Dar Dowlatshahi, Ayman Hassan, Leanne Casaubon, Jennifer Mandzia, Demetrios Sahlas, David P. Breen, David Grimes, Mandar Jog, Thomas D. L. Steeves, Stephen R. Arnott, Sandra E. Black, Elizabeth Finger, Jennifer Rabin, ONDRI Investigators, Maria Carmela Tartaglia
Publikováno v:
Alzheimer’s Research & Therapy, Vol 15, Iss 1, Pp 1-22 (2023)
Abstract Background Neuropsychiatric symptoms (NPS) are a core feature of most neurodegenerative and cerebrovascular diseases. White matter hyperintensities and brain atrophy have been implicated in NPS. We aimed to investigate the relative contribut
Externí odkaz:
https://doaj.org/article/3907d8c8f84f479f86cb887962bed6d4
Autor:
Ben Li, Raj Verma, Derek Beaton, Hani Tamim, Mohamad A. Hussain, Jamal J. Hoballah, Douglas S. Lee, Duminda N. Wijeysundera, Charles de Mestral, Muhammad Mamdani, Mohammed Al‐Omran
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 20 (2023)
Background Carotid endarterectomy (CEA) is a major vascular operation for stroke prevention that carries significant perioperative risks; however, outcome prediction tools remain limited. The authors developed machine learning algorithms to predict o
Externí odkaz:
https://doaj.org/article/3fa1576901b74dd9a61302f10efa4746
Autor:
Di Yu, Nuanyi Liang, Julia Zebarth, Qing Shen, Miracle Ozzoude, Maged Goubran, Jennifer S. Rabin, Joel Ramirez, Christopher J. M. Scott, Fuqiang Gao, Robert Bartha, Sean Symons, Seyyed Mohammad Hassan Haddad, Courtney Berezuk, Brian Tan, Donna Kwan, Robert A. Hegele, Allison A. Dilliott, Nuwan D. Nanayakkara, Malcolm A. Binns, Derek Beaton, Stephen R. Arnott, Jane M. Lawrence‐Dewar, Ayman Hassan, Dar Dowlatshahi, Jennifer Mandzia, Demetrios Sahlas, Leanne Casaubon, Gustavo Saposnik, Yurika Otoki, Krista L. Lanctôt, Mario Masellis, Sandra E. Black, Richard H. Swartz, Ameer Y. Taha, Walter Swardfager
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 1 (2023)
Background Cerebral small vessel disease is associated with higher ratios of soluble‐epoxide hydrolase derived linoleic acid diols (12,13‐dihydroxyoctadecenoic acid [DiHOME] and 9,10‐DiHOME) to their parent epoxides (12(13)‐epoxyoctadecenoic
Externí odkaz:
https://doaj.org/article/2dfd1b3b45544dd48db16ed2faa7f832
Publikováno v:
Methods in Psychology, Vol 7, Iss , Pp 100100- (2022)
Psychological research often involves complex datasets that cannot easily be analyzed using traditional statistical methods. Multiblock Discriminant Correspondence Analysis (multiblock dica, also called mudica) examines group differences in large, st
Externí odkaz:
https://doaj.org/article/7aaee1159cac403b9368734bdb5a163f
Autor:
Bryan M. Wong, Christopher Hudson, Emily Snook, Faryan Tayyari, Hyejung Jung, Malcolm A. Binns, Saba Samet, Richard W. Cheng, Carmen Balian, Efrem D. Mandelcorn, Edward Margolin, Elizabeth Finger, Sandra E. Black, David F. Tang-Wai, Lorne Zinman, Brian Tan, Wendy Lou, Mario Masellis, Agessandro Abrahao, Andrew Frank, Derek Beaton, Kelly M. Sunderland, Stephen R. Arnott, ONDRI Investigators, Maria Carmela Tartaglia, Wendy V. Hatch, Sabrina Adamo, Stephen Arnott, Rob Bartha, Courtney Berezuk, Alanna Black, Alisia Bonnick, David Breen, Don Brien, Susan Bronskill, Dennis Bulman, Leanne Casaubon, Ying Chen, Marvin Chum, Brian Coe, Ben Cornish, Jane Lawrence Dewar, Roger A. Dixon, Sherif El-Defrawy, Sali M.K. Farhan, Frederico Faria, Julia Fraser, Mahdi Ghani, Barry Greenberg, Hassan Haddad, Wendy Hatch, Melissa Holmes, Chris Hudson, Peter Kleinstiver, Donna Kwan, Elena Leontieva, Brian Levine, Ed Margolin, Connie Marras, Bill McIlroy, Paula McLaughlin, Manuel Montero Odasso, Doug Munoz, David Munoz, Nuwan Nanayakkara, JB Orange, Miracle Ozzoude, Alicia Peltsch, Pradeep Raamana, Joel Ramirez, Natalie Rashkovan, Angela Roberts, Yanina Sarquis Adamson, Christopher Scott, Michael Strong, Stephen Strothers, Sujeevini Sujanthan, Sean Symons, Athena Theyers, Angela Troyer, Abiramy Uthirakumaran, Karen Van Ooteghem, John Woulfe, Mojdeh Zamyadi, Guangyong (GY) Zou
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
PurposeTauopathy and transactive response DNA binding protein 43 (TDP-43) proteinopathy are associated with neurodegenerative diseases. These proteinopathies are difficult to detect in vivo. This study examined if spectral-domain optical coherence to
Externí odkaz:
https://doaj.org/article/e87ee494733c4014a43bb34084c5fb7d
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 16 (2022)
IntroductionPost-traumatic stress disorder (PTSD) is associated with hippocampal system structural and functional impairments. Neurobiological models of PTSD posit that contextual memory for traumatic events is impaired due to hippocampal system dysf
Externí odkaz:
https://doaj.org/article/f4dab9520a3d41f48228a0dbdcead34a
Autor:
Anthony L. Vaccarino, Derek Beaton, Sandra E. Black, Pierre Blier, Farnak Farzan, Elizabeth Finger, Jane A. Foster, Morris Freedman, Benicio N. Frey, Susan Gilbert Evans, Keith Ho, Mojib Javadi, Sidney H. Kennedy, Raymond W. Lam, Anthony E. Lang, Bianca Lasalandra, Sara Latour, Mario Masellis, Roumen V. Milev, Daniel J. Müller, Douglas P. Munoz, Sagar V. Parikh, Franca Placenza, Susan Rotzinger, Claudio N. Soares, Alana Sparks, Stephen C. Strother, Richard H. Swartz, Brian Tan, Maria Carmela Tartaglia, Valerie H. Taylor, Elizabeth Theriault, Gustavo Turecki, Rudolf Uher, Lorne Zinman, Kenneth R. Evans
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
The Ontario Brain Institute's “Brain-CODE” is a large-scale informatics platform designed to support the collection, storage and integration of diverse types of data across several brain disorders as a means to understand underlying causes of bra
Externí odkaz:
https://doaj.org/article/42b9113775d34507863128905e537d34