George Medvedev

ORCID: 0000-0002-9941-876X
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About
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Research Areas
  • Acute Ischemic Stroke Management
  • Stroke Rehabilitation and Recovery
  • EEG and Brain-Computer Interfaces
  • Cerebrovascular and Carotid Artery Diseases
  • Venous Thromboembolism Diagnosis and Management
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Reproductive Physiology in Livestock
  • Functional Brain Connectivity Studies
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Time Series Analysis and Forecasting
  • Cerebral Venous Sinus Thrombosis
  • Genetic and phenotypic traits in livestock
  • Advanced MRI Techniques and Applications
  • Health Systems, Economic Evaluations, Quality of Life
  • Animal health and immunology
  • Moyamoya disease diagnosis and treatment
  • Plant and fungal interactions
  • Botulinum Toxin and Related Neurological Disorders
  • Agricultural Productivity and Crop Improvement
  • Neurobiology of Language and Bilingualism
  • Cardiovascular and Diving-Related Complications
  • Renal Diseases and Glomerulopathies
  • ECG Monitoring and Analysis
  • Pharmaceutical Practices and Patient Outcomes
  • Cardiac Arrest and Resuscitation

Royal Columbian Hospital
2018-2025

University of British Columbia
2002-2025

Fraser Health
2020-2024

Vancouver Biotech (Canada)
2024

Ukrainian Catholic University
2022

Simon Fraser University
2022

National Research Council Canada
2022

Neuroscience Institute
2022

Surrey Memorial Hospital
2018

St. Paul's Hospital
2002

Shelagh B. Coutts Sandeep Ankolekar Ramana Appireddy Juan F. Arenillas Zarina Assis and 95 more Peter Bailey Philip A. Barber Rodrigo Bazán Brian Buck Kenneth Butcher Marie‐Christine Camden Bruce Campbell Leanne K. Casaubon Luciana Catanese Kausik Chatterjee Philip Choi Brian Clarke Dar Dowlatshahi Julia Ferrari Thalia S. Field Aravind Ganesh Darshan Ghia Mayank Goyal Stefan Greisenegger Omid Halse MacKenzie Horn Gary Hunter Oje Imoukhuede Peter J. Kelly James Kennedy Carol Kenney Timothy Kleinig Kailash Krishnan Fabrício Oliveira Lima Jennifer Mandzia Martha Marko Sheila Cristina Ouriques Martins George Medvedev Bijoy K. Menon Sachin Mishra Carlos A. Molina Aimen Moussaddy Keith W. Muir Mark Parsons Andrew M W Penn Arthur Pille Octávio Marques Pontes‐Neto Christine Roffe Joaquı́n Serena Robert Simister Nishita Singh Neil J. Spratt Daniel Strbian Carol Huilian Tham M Ivan Wiggam David Williams M Willmot Teddy Y. Wu Amy Yu George Zachariah Atif Zafar Charlotte Zerna Michael D. Hill Marina Salluzzi Nicole Blenkin Ashley Dueck Craig Doram Qiao Zhang Carol Kenney Karla J. Ryckborst Shelly Bohn Quentin Collier Frances Taylor Brendan Cord Lethebe Anitha Jambula Kayla Sage Lana Toussaint Supryia Save Jaclyn Lee Nihay Laham-Karam Asfia Sultan Deepak Agrawal A Sitaram Andrew M. Demchuk Andrew Lockey A. Micielli Ankur Wadhwa Babawale Arabambi B Graham Chrysi Bogiatzi Darshan Doshi Debabrata Chakraborty Diana Kim Denise Vasquez D Singh Dominic Tse Earl C. Harrison Eric E. Smith Erika Teleg Evgenia Klourfeld

10.1016/s0140-6736(24)00921-8 article EN The Lancet 2024-05-17
Thalia S. Field Vanessa Dizonno Mohammed Almekhlafi Fouzi Bala Ibrahim Alhabli and 95 more Hubert Wong Monica Norena Maria Karina Villaluna Princess King-Azote Namali Ratnaweera Steven Mancini Stephen van Gaal Laura Wilson Brett Graham Luciano A. Sposato Dylan Blacquière Brian Dewar Mark I. Boulos Brian Buck Céline Odier Kanjana Perera Aleksandra Pikula Aleksander Tkach George Medvedev Carolyn Canfield W. Ben Mortenson Janel O. Nadeau Sohaila Alshimemeri Oscar Benavente Andrew M. Demchuk Dar Dowlatshahi Sylvain Lanthier Agnes Y.Y. Lee Jennifer Mandzia Deepa Suryanarayan Jeffrey I. Weitz Michael D. Hill Michael D. Hill Karina Murray Andrea Jones Lauren Matsubara Zoe R. O’Neill Sarah Park Michelle Yuan Marina Saluzzi Ashley Dueck K. Ingrid McKibben Qiao Zhang Oscar Benavente Kenneth Butcher Cheryl Bushnell Diana Aguiar de Sousa Michael D. Hill Oscar Benavente Dr Laura Wilson Oscar Benavente Mar Lloret Hsien Lee Lau Genoveva Maclean Sharanpal Mann Colleen Murphy Jonathan Smith Philip Teal Ming Yin Tse Samuel Yip VIshaya Naidoo Jaskiran Brar Shuo Chen Myles Horton Michael D. Hill Supriya Save Shorog Althubait Chrysi Bogiatzi Matthew Boyko Surbhi Chatuverdi Shelagh B. Coutts Aravind Ganesh Kimia Ghavami Emme Harrison Sherry Hu Anitha Jambula Raed A. Joundi Carol Kenney Gary Klein Katie Lin Salman Mansoor Martha Marko Karla J. Ryckborst Kayla Sage Nishita Singh Ming Yin Tse Ankur Wadhwa Sanchea Wasiliw Brett Graham Shrijal Bhavsar Kala Bold Sharleen Maley Lilian Urroz Kaitlyn Foster Emily Junk

Emerging data suggest that direct oral anticoagulants may be a suitable choice for anticoagulation cerebral venous thrombosis (CVT). However, conducting high-quality trials in CVT is challenging as it rare disease with low rates of adverse outcomes such major bleeding and functional dependence. To facilitate the design future trials, SECRET (Study Rivaroxaban Cerebral Venous Thrombosis) assessed (1) feasibility recruitment, (2) safety rivaroxaban compared standard-of-care anticoagulation,...

10.1161/strokeaha.123.044113 article EN Stroke 2023-09-07

Abstract This project aimed to develop and evaluate a fast fully-automated deep-learning method applying convolutional neural networks with deep supervision (CNN-DS) for accurate hematoma segmentation volume quantification in computed tomography (CT) scans. Non-contrast whole-head CT scans of 55 patients hemorrhagic stroke were used. Individual standardized 64 axial slices 128 × voxels. Each voxel was annotated independently by experienced raters, generating binary label versus normal brain...

10.1038/s41598-020-76459-7 article EN cc-by Scientific Reports 2020-11-09

Background: Cryptogenic strokes account for approximately 30-40% of all stroke cases, underscoring the critical need effective identification right-to-left shunt (RLS) and PFO. The recently published BUBL Study (NCT04604015), a multicenter, prospective trial, demonstrated 3-fold increase in detection RLS/PFO using raTCD compared TTE. Wechsler recognized study's important findings an accompanying editorial, while also highlighting further validation through additional studies. This study aims...

10.1161/str.56.suppl_1.wmp100 article EN Stroke 2025-01-30

BACKGROUND: Older age has been associated with overall poorer outcomes in acute ischemic stroke. We compared (1) various health-related domains among patients <80 years and ≥80 presenting stroke (2) whether differ between intravenous TNK (tenecteplase) versus alteplase. METHODS: Data are from included AcT (Alteplase Compared to Tenecteplase Patients With Acute Ischemic Stroke), a pragmatic, registry-linked, phase 3 randomized controlled trial comparing Outcomes functional disability (per...

10.1161/strokeaha.124.049512 article EN Stroke 2025-03-24

Electroencephalography (EEG) is a non-invasive tool widely used in basic and clinical neuroscience to explore neural states various populations, classifying these EEG recordings fundamental challenge. While machine learning shows promising results long multivariate time series, optimal prediction models feature extraction methods for classification remain elusive. Our study addressed the problem of under framework brain age prediction, applying deep model on series. We hypothesized that...

10.1109/tnsre.2024.3403198 article EN cc-by IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024-01-01

Background: Carotid tandem lesions ((TL) ⩾70% stenosis or occlusion) account for 15–20% of acute stroke with large vessel occlusion. Aims: We investigated the safety and efficacy intravenous tenecteplase (0.25 mg/kg) versus alteplase (0.9 in patients carotid TL. Methods: This is a substudy compared trial. Patients extracranial internal artery (ICA) concomitant occlusion intracranial ICA, M1 M2 segments middle cerebral on baseline computed tomography angiography (CTA) were included. Primary...

10.1177/17474930231205208 article EN cc-by-nc International Journal of Stroke 2023-09-21

The AcT (Alteplase Compared to Tenecteplase) randomized controlled trial showed that tenecteplase is noninferior alteplase in treating patients with acute ischemic stroke within 4.5 hours of symptom onset. effect time treatment on clinical outcomes well known; however, the nature this relationship yet be described tenecteplase. We assessed whether association thrombolysis differs by they receive intravenous versus alteplase. Patients included were from AcT, a pragmatic, registry-linked,...

10.1161/strokeaha.123.044267 article EN Stroke 2023-10-06

Background Intravenous thrombolysis with alteplase is widely used in patients acute ischemic stroke presenting early after symptom onset. Recent phase II trials have suggested that intravenous tenecteplase may be safer and associated higher reperfusion rates as compared alteplase. This study investigates whether noninferior to for the treatment of stroke. Methods a pragmatic, registry‐linked, prospective, randomized (1:1) controlled, open‐label parallel group clinical trial (AcT [Alteplase...

10.1161/svin.122.000447 article EN cc-by-nc-nd Stroke Vascular and Interventional Neurology 2022-09-01

Background : Intravenous thrombolysis with alteplase is widely used in acute ischemic stroke patients presenting early after symptom onset. Recent phase II trials have suggested that intravenous tenecteplase may be safer and associated higher reperfusion rates as compared to alteplase. This study investigates whether non‐inferior for the treatment of stroke. Methods a pragmatic, registry‐linked, prospective, randomized (1:1) controlled, open‐label parallel group clinical trial blinded...

10.1161/svin.121.000447 article EN cc-by-nc-nd Stroke Vascular and Interventional Neurology 2022-05-02

Non-invasive neuromodulation using translingual neurostimulation (TLNS) has been shown to advance rehabilitation outcomes, particularly when paired with physical therapy (PT). Together motor gains, patient-reported observations of incidental improvements in cognitive function have noted. Both studies healthy individuals and case reports clinical populations linked TLNS attention-related processes. We investigated if the use combined TLNS/PT would translate changes objective...

10.3389/fnhum.2023.1209480 article EN cc-by Frontiers in Human Neuroscience 2023-06-09

BACKGROUND: Recent evidence from thrombolysis trials indicates the noninferiority of intravenous tenecteplase to alteplase with respect good functional outcomes in patients acute stroke. We examined whether health-related quality life (HRQOL) stroke differs by type treatment received. In addition, we association between modified Rankin Scale score 0 1 and HRQOL patient-reported return prebaseline functioning at 90 days. METHODS: Data were all included AcT trial (Alteplase Compared...

10.1161/strokeaha.123.044690 article EN Stroke 2024-01-26

10.1053/ajkd.2002.34931 article EN American Journal of Kidney Diseases 2002-08-28

Background: Hemorrhagic transformation after acute ischemic stroke is a dreaded and severe complication of thrombolysis thrombectomy. However, its detection on post-thrombectomy conventional non-contrast computed tomography (CT) scan can be complicated by the frequent (and sometimes concomitant) presence contrast, resulting in changes management. Aims: Our objective was to assess inter- intra-rater reliability for blood and/or contrast day-1 CT scans. Methods: A total 18 raters across 3...

10.3389/fneur.2020.593098 article EN cc-by Frontiers in Neurology 2020-12-22

Introduction Haemorrhagic stroke is of significant healthcare concern due to its association with high mortality and lasting impact on the survivors’ quality life. Treatment decisions clinical outcomes depend strongly size, spread location haematoma. Non-contrast CT (NCCT) primary neuroimaging modality for haematoma assessment in haemorrhagic diagnosis. Current procedures do not allow convenient NCCT-based haemorrhage volume calculation settings, while research-based approaches are yet be...

10.1136/bmjopen-2017-020260 article EN cc-by-nc BMJ Open 2018-04-01

Routine clinical EEG is a standard test used for the neurological evaluation of patients. A trained specialist interprets recordings and classifies them into categories. Given time demands high inter-reader variability, there an opportunity to facilitate process by providing decision support tools that can classify automatically. Classifying associated with several challenges: classification models are expected be interpretable; EEGs vary in duration recorded multiple technicians operating...

10.1109/jbhi.2023.3236264 article EN IEEE Journal of Biomedical and Health Informatics 2023-01-01

Electroencephalography (EEG) is a technique that measures brain activity across the surface using electrodes attached to scalp. The advantages of EEG include its noninvasiveness and cost-effectiveness compared alternatives, like magnetic resonance imaging electrocorticography. analysis has various applications, such as in detecting neurodegenerative diseases (eg. epilepsy) facilitating brain-computer interfaces. In this study, we utilize machine learning explore age prediction based on data....

10.1109/sensors56945.2023.10324895 article EN IEEE Sensors 2023-10-29
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