Search research articles
Contact Us
Filters
Showing results (11-20 of 21) with videos related to
Page
of 3
Sort By:
JMIR Formative Research
|
July 21, 2021
Associations Between Physiological Signals Captured Using Wearable Sensors and Self-reported Outcomes Among Adults in Alcohol Use Disorder Recovery: Development and Usability Study
Parastoo Alinia, Ramesh Kumar Sah, Michael McDonell, et al.
Journal of the Society for Cardiovascular Angiography & Interventions
|
August 12, 2024
Novel Use of the ŌNŌ Retrieval System for Intracardiac Thrombectomy in a High-Risk Pediatric Patient
Aravinth Karunanandaa, Neil Patel, Pierre Wong, et al.
Biochemistry
|
November 19, 2014
Comparative characterization of the lactimidomycin and iso-migrastatin biosynthetic machineries revealing unusual features for acyltransferase-less type I polyketide synthases and providing an opportunity to engineer new analogues
Jeong-Woo Seo, Ming Ma, Thomas Kwong, et al.
The Journal of Thoracic and Cardiovascular Surgery
|
September 9, 2023
Comparing apples to apples: Exploring public reporting of congenital cardiac surgery outcomes based on common congenital heart operations
Meena Nathan, Kimberlee Gauvreau, Owen White, et al.
Nature Medicine
|
July 2, 2002
The t(8;21) fusion protein, AML1 ETO, specifically represses the transcription of the p14(ARF) tumor suppressor in acute myeloid leukemia
Bryan Linggi, Carsten Müller-Tidow, Louis van de Locht, et al.
Annals of Clinical and Translational Neurology
|
November 27, 2023
Association of genetic and sulcal traits with executive function in congenital heart disease
Lara Maleyeff, Jane W Newburger, David Wypij, et al.
Medical Image Analysis
|
March 23, 2025
Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease
Hyeokjin Kwon, Seungyeon Son, Sarah U Morton, et al.
Iscience
|
January 29, 2025
Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact
Enrique Mondragon-Estrada, Jane W Newburger, Steven R DePalma, et al.
Communications Medicine
|
February 6, 2026
Machine learning to infer neurocognitive testing scores among adolescents and young adults with congenital heart disease
Mohammad Arafat Hussain, Sheng He, Heather R Adams, et al.
Neuroimage
|
July 5, 2024
Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure
Marlee M Vandewouw, Ami Norris-Brilliant, Anum Rahman, et al.
Page
of 3
Search research articles
Search
Showing results (11-20 of 21) with videos related to
Sort By:
Page
of 3
JMIR Formative Research
|
July 21, 2021
Associations Between Physiological Signals Captured Using Wearable Sensors and Self-reported Outcomes Among Adults in Alcohol Use Disorder Recovery: Development and Usability Study
Parastoo Alinia, Ramesh Kumar Sah, Michael McDonell, et al.
Journal of the Society for Cardiovascular Angiography & Interventions
|
August 12, 2024
Novel Use of the ŌNŌ Retrieval System for Intracardiac Thrombectomy in a High-Risk Pediatric Patient
Aravinth Karunanandaa, Neil Patel, Pierre Wong, et al.
Biochemistry
|
November 19, 2014
Comparative characterization of the lactimidomycin and iso-migrastatin biosynthetic machineries revealing unusual features for acyltransferase-less type I polyketide synthases and providing an opportunity to engineer new analogues
Jeong-Woo Seo, Ming Ma, Thomas Kwong, et al.
The Journal of Thoracic and Cardiovascular Surgery
|
September 9, 2023
Comparing apples to apples: Exploring public reporting of congenital cardiac surgery outcomes based on common congenital heart operations
Meena Nathan, Kimberlee Gauvreau, Owen White, et al.
Nature Medicine
|
July 2, 2002
The t(8;21) fusion protein, AML1 ETO, specifically represses the transcription of the p14(ARF) tumor suppressor in acute myeloid leukemia
Bryan Linggi, Carsten Müller-Tidow, Louis van de Locht, et al.
Annals of Clinical and Translational Neurology
|
November 27, 2023
Association of genetic and sulcal traits with executive function in congenital heart disease
Lara Maleyeff, Jane W Newburger, David Wypij, et al.
Medical Image Analysis
|
March 23, 2025
Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease
Hyeokjin Kwon, Seungyeon Son, Sarah U Morton, et al.
Iscience
|
January 29, 2025
Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact
Enrique Mondragon-Estrada, Jane W Newburger, Steven R DePalma, et al.
Communications Medicine
|
February 6, 2026
Machine learning to infer neurocognitive testing scores among adolescents and young adults with congenital heart disease
Mohammad Arafat Hussain, Sheng He, Heather R Adams, et al.
Neuroimage
|
July 5, 2024
Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure
Marlee M Vandewouw, Ami Norris-Brilliant, Anum Rahman, et al.
Page
of 3