A5053834283- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Cardiac pacing and defibrillation studies
- Machine Learning in Healthcare
- COVID-19 diagnosis using AI
- Heart Rate Variability and Autonomic Control
- Cardiac Arrhythmias and Treatments
- Cardiovascular Effects of Exercise
- Topic Modeling
- Cardiovascular Function and Risk Factors
- COVID-19 epidemiological studies
- Cardiac Imaging and Diagnostics
- Neurological disorders and treatments
- Data-Driven Disease Surveillance
- COVID-19 Clinical Research Studies
- Natural Language Processing Techniques
- Silicon Nanostructures and Photoluminescence
- Dementia and Cognitive Impairment Research
- Cardiomyopathy and Myosin Studies
- Semiconductor materials and devices
- Cardiovascular Health and Risk Factors
- Atrial Fibrillation Management and Outcomes
- SARS-CoV-2 and COVID-19 Research
- Quantum Dots Synthesis And Properties
- Genetics, Aging, and Longevity in Model Organisms
Harvard University
2020-2023
Brigham and Women's Hospital
2018-2023
Oregon Health & Science University
2016-2022
University of Washington Medical Center
2018-2022
University of Washington
2018-2021
Dream Laboratory (United Kingdom)
2021
Seattle University
2019
University of Rochester Medical Center
2019
Beth Israel Deaconess Medical Center
2018
Johns Hopkins University
2018
Quiescence is the most common and, arguably, poorly understood cell cycle state. This in part because pure populations of quiescent cells are typically difficult to isolate. We report isolation and characterization nonquiescent from stationary-phase (SP) yeast cultures by density-gradient centrifugation. Quiescent dense, unbudded daughter formed after glucose exhaustion. They synchronously reenter mitotic cycle, suggesting that they a G0 Nonquiescent less heterogeneous, composed...
A three-dimensionally ordered macroporous Fe2O3/Al nanothermite membrane has been prepared with a polystyrene spheres template. The nanothermite, an enhanced interfacial contact between fuel and oxidizer, outputs 2.83 kJ g–1 of energy. This is significantly more than reported before. approach, fully compatible MEMS technology, provides efficient way to produce micrometer thick nanostructured thermite films overall spatial uniformity. These exciting achievements will greatly facilitate...
Sensitive and specific severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serologic assays are needed to inform diagnostic, therapeutic, public health decision-making. We evaluated three commercial as stand-alone tests components of two-test algorithms. Two nucleocapsid antibody (Abbott IgG Roche total antibody) one spike protein test (DiaSorin IgG) were included. assessed sensitivity using 128 serum samples from symptomatic PCR-confirmed disease 2019 (COVID-19)-infected patients...
Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Associated Risks Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation analysis of COVID-19 RWD.
Background: Electric excitation initiates myocardial mechanical contraction and coordinates pumping. We hypothesized that ECG global electric heterogeneity (GEH) its longitudinal changes are associated with cardiac structure function. Methods Results: Participants from the ARIC study (Atherosclerosis Risk in Communities) (N=5114; 58% female; 22% blacks) resting 12-lead ECGs (visits 1–5) echocardiographic assessment of left ventricular (LV) ejection fraction, LV strain, mass index,...
Abstract Background Global electrical heterogeneity (GEH) is associated with sudden cardiac death (SCD) in adults of 45 years and above. However, GEH has not been previously measured young athletes. The goal this study was to establish a reference for vectorcardiograpic (VCG) metrics male female Methods Skiers ( n = 140; mean age 19.2 ± 3.5 years; 66% male, 94% white; 53% professional athletes) were enrolled prospective cohort. Resting 12‐lead ECGs interpreted per the International ECG...
The risk of sudden cardiac death (SCD) is known to be dynamic. However, the accuracy a dynamic SCD prediction unknown. We aimed measure predictive ECG biomarkers and competing non-sudden (non-SCD).
Silicon is a promising alternative to current thermoelectric materials (Bi2Te3). nanoparticle based show especially low thermal conductivities due their high number of interfaces, which increases the observed phonon scattering. The major obstacle with these maintaining electrical conductivity. Surface functionalization phenylacetylene shows an conductivity 18.1 S m−1 and Seebeck coefficient 3228.8 μV K−1 as well 0.1 W m−1. This gives ZT 0.6 at 300 K significant for bulk silicon material...
Background: There is a need for fast, accessible, low-cost, and accurate diagnostic methods early detection of cognitive decline. Dementia diagnoses are usually made years after symptom onset, missing window opportunity intervention. Objective: To evaluate the use recorded voice features as proxies function by using neuropsychological test measures existing dementia diagnoses. Methods: This study analyzed 170 audio recordings, transcripts, paired results from 135 participants selected...
The COVID-19 pandemic has raised questions regarding the management of chronic skin diseases, especially in patients on systemic treatments. Data concerning use biologics adults with psoriasis are reassuring, but data specific to children missing. Moreover, could impact course children.The aim this study was therefore assess children, and severity infection relation treatments.We set up an international registry paediatric patients. Children were included if they under 18 years age, had a...
Background Computationally derived (“synthetic”) data can enable the creation and analysis of clinical, laboratory, diagnostic as if they were original electronic health record data. Synthetic support sharing to answer critical research questions address COVID-19 pandemic. Objective We aim compare results from analyses synthetic those assess strengths limitations leveraging computationally for purposes. Methods used National COVID Cohort Collaborative’s instance MDClone, a big platform with...
Machine learning could be used to predict the likelihood of diagnosis and severity illness. Lack COVID-19 patient data has hindered science community in developing models aid response pandemic.
Abstract Objective This study sought to evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for geospatial and temporal epidemic analyses. Materials Methods Using an original (n = 1 854 968 severe acute respiratory syndrome 2 tests) its derivative, we compared key indicators of COVID-19 community spread through analysis aggregate zip code-level curves, patient characteristics outcomes, distribution tests by code, indicator counts...
ABSTRACT Early identification of symptoms and comorbidities most predictive COVID-19 is critical to identify infection, guide policies effectively contain the pandemic, improve health systems’ response. Here, we characterised socio-demographics comorbidity in 3,316,107persons tested 219,072 persons positive for SARS-CoV-2 since January 2020, their key outcomes month following first test. Routine care data from primary electronic records (EHR) Spain, hospital EHR United States (US), claims...
Mechanisms of arrhythmogenicity in hypertrophic cardiomyopathy (HCM) are not well understood.To characterize an electrophysiological substrate HCM comparison to ischemic (ICM), or healthy individuals.We conducted a prospective case-control study. The study enrolled patients at high risk for ventricular tachyarrhythmia (VT) [n = 10; age 61 ± 9 years; left ejection fraction (LVEF) 60 9%], and three groups: individuals (n 28 6 LVEF > 70%), ICM with LV hypertrophy (LVH) known VT 64 31 15%), LVH...
Abstract Background: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response [1,2]. Here we present international Observational Health Data Sciences and Informatics (OHDSI) [3] Characterizing Associated Risks, Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation analysis of COVID-19 RWD. Methods: We conducted a descriptive cohort study using federated network partners United States, Europe (the...