A5088443428- Cardiac Valve Diseases and Treatments
- Aortic Disease and Treatment Approaches
- Infective Endocarditis Diagnosis and Management
- Cell Image Analysis Techniques
- AI in cancer detection
- Computational Drug Discovery Methods
- Advanced Fluorescence Microscopy Techniques
- Machine Learning in Healthcare
- Aortic aneurysm repair treatments
- Image Processing Techniques and Applications
- Cardiac Structural Anomalies and Repair
- Intracerebral and Subarachnoid Hemorrhage Research
- Cardiac, Anesthesia and Surgical Outcomes
- Cardiac Imaging and Diagnostics
- Cardiac pacing and defibrillation studies
- Parkinson's Disease Mechanisms and Treatments
- COVID-19 and healthcare impacts
- Fungal and yeast genetics research
- Infectious Aortic and Vascular Conditions
- Antiplatelet Therapy and Cardiovascular Diseases
- Medical Imaging and Analysis
- Endoplasmic Reticulum Stress and Disease
- Myasthenia Gravis and Thymoma
- Delphi Technique in Research
- Global Political and Economic Relations
Pfizer (United States)
2022-2025
Royal Columbian Hospital
2013-2024
Institute for Neurodegenerative Disorders
2021-2023
University of California, San Francisco
2019-2023
University of British Columbia
2008-2023
Pamela Youde Nethersole Eastern Hospital
2023
Hospital Authority
2023
University of California Office of the President
2021
Christ University
2020
QB3
2020
Abstract Monitoring and ensuring the integrity of data within clinical trial process is currently not always feasible with current research system. We propose a blockchain-based system to make collected in immutable, traceable, potentially more trustworthy. use raw from real completed trial, simulate onto proof concept web portal service, test its resilience tampering. also assess prospects provide traceable useful audit trail for regulators, flexible service all members trials network....
Abstract Modeling genetic perturbations and their effect on the transcriptome is a key area of pharmaceutical research. Due to complexity transcriptome, there has been much excitement development in deep learning (DL) because its ability model complex relationships. In particular, transformer-based foundation paradigm emerged as gold-standard predicting post-perturbation responses. However, understanding these increasingly models evaluating practical utility lacking, along with simple but...
Pathologists can label pathologies differently, making it challenging to yield consistent assessments in the absence of one ground truth. To address this problem, we present a deep learning (DL) approach that draws on cohort experts, weighs each contribution, and is robust noisy labels. We collected 100,495 annotations 20,099 candidate amyloid beta neuropathologies (cerebral angiopathy (CAA), cored diffuse plaques) from three institutions, independently annotated by five experts. DL methods...
Updating, managing, and proving world state are key bottlenecks facing the execution layer of blockchains today. Existing storage solutions not flash-optimized suffer from high flash write amplification excessive DRAM requirements, forcing a trade-off between throughput decentralization. We present Quick Merkle Database (QMDB), an SSD-optimized authenticated data structure that delivers superset features existing databases. QMDB's append-only design enables 1 SSD read per access, $O(1)$ I/Os...
Fluorescent-based microscopy screens carry a broad range of phenotypic information about how compounds affect cellular biology.
Thoracic aortic dissection is associated with substantial morbidity and mortality, it requires timely accurate diagnosis treatment. Long-term antihypertensive therapy remains critical for the treatment of this disease. Surgical intervention, although still a formidable undertaking, has evolved to better address both acute chronic dissection, results have improved. Basic clinical research, as well technological advances, increased our understanding challenging disease state.
Abstract Recent work has demonstrated that imaging platforms based on the integration of total internal reflection fluorescence microscopy (TIRFM)/spectroscopy with scanning probe are well‐suited for investigations biological phenomena, ranging from lipid bilayer dynamics and membrane protein assembly to cellular structures. We have shown this approach is particularly compelling studies protein‐membrane interactions. While functional strategy proved be very useful cell dynamics, most...
BackgroundDocumentation of quality life (QOL) patients after transcatheter aortic valve implantation (TAVI) is a Canadian Cardiovascular Society indicator. National results have not been reported to date.MethodsWe conducted an observational cohort study including all TAVI patients, irrespective surgical risk, treated between January 2016 and June 2019 as documented in the British Columbia Registry. QOL was measured at baseline, 30 days, 1 year, using Kansas City Cardiomyopathy Questionnaire...