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Anna Goldenberg

Showing results (101-110 of 147) with videos related to

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Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|November 10, 2020
Integration of brain and behavior measures for identification of data-driven groups cutting across children with ASD, ADHD, or OCDGrace R Jacobs, Aristotle N Voineskos, Colin Hawco, et al.
AJNR. American Journal of Neuroradiology|June 3, 2025
Evaluating the Role of Imaging Markers in Predicting Stroke Risk and Guiding Management after Vertebral Artery Injury: A Retrospective StudyJessica Vankawala, Zixin Yi, Manisha Koneru, et al.
Neurosurgical Review|August 19, 2025
Antithrombotic therapy delays due to neurosurgical interventions after traumatic vertebral artery injuries increases stroke riskZixin Yi, Jessica Vankawala, Manisha Koneru, et al.
Pediatric Research|January 11, 2024
Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learningPing He, Theo J Moraes, Darlene Dai, et al.
Injury|September 24, 2024
Wound infection rate after skin closure of damage control laparotomy with wicks or incisional negative wound therapy: An EAST multi-center trialJohn Cull, Katherine Pellizzeri, Daniel C Cullinane, et al.
European Urology Focus|August 7, 2021
Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO FrameworkJethro C C Kwong, Louise C McLoughlin, Masoom Haider, et al.
Bioinformatics (Oxford, England)|December 15, 2015
PharmacoGx: an R package for analysis of large pharmacogenomic datasetsPetr Smirnov, Zhaleh Safikhani, Nehme El-Hachem, et al.
Nature Medicine|April 28, 2026
Clinical trials for continuously monitored and updated AI systemsWouter A C van Amsterdam, Michael Oberst, Jean Feng, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|August 10, 2022
Machine learning classification of multiple sclerosis in children using optical coherence tomographyBeyza Ciftci Kavaklioglu, Lauren Erdman, Anna Goldenberg, et al.
JMIR Formative Research|April 18, 2022
Correction: An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers StudySarah M Goodday, Emma Karlin, Alexandria Alfarano, et al.
Pageof 15

Showing results (101-110 of 147) with videos related to

Sort By:
Pageof 15
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|November 10, 2020
Integration of brain and behavior measures for identification of data-driven groups cutting across children with ASD, ADHD, or OCDGrace R Jacobs, Aristotle N Voineskos, Colin Hawco, et al.
AJNR. American Journal of Neuroradiology|June 3, 2025
Evaluating the Role of Imaging Markers in Predicting Stroke Risk and Guiding Management after Vertebral Artery Injury: A Retrospective StudyJessica Vankawala, Zixin Yi, Manisha Koneru, et al.
Neurosurgical Review|August 19, 2025
Antithrombotic therapy delays due to neurosurgical interventions after traumatic vertebral artery injuries increases stroke riskZixin Yi, Jessica Vankawala, Manisha Koneru, et al.
Pediatric Research|January 11, 2024
Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learningPing He, Theo J Moraes, Darlene Dai, et al.
Injury|September 24, 2024
Wound infection rate after skin closure of damage control laparotomy with wicks or incisional negative wound therapy: An EAST multi-center trialJohn Cull, Katherine Pellizzeri, Daniel C Cullinane, et al.
European Urology Focus|August 7, 2021
Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO FrameworkJethro C C Kwong, Louise C McLoughlin, Masoom Haider, et al.
Bioinformatics (Oxford, England)|December 15, 2015
PharmacoGx: an R package for analysis of large pharmacogenomic datasetsPetr Smirnov, Zhaleh Safikhani, Nehme El-Hachem, et al.
Nature Medicine|April 28, 2026
Clinical trials for continuously monitored and updated AI systemsWouter A C van Amsterdam, Michael Oberst, Jean Feng, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|August 10, 2022
Machine learning classification of multiple sclerosis in children using optical coherence tomographyBeyza Ciftci Kavaklioglu, Lauren Erdman, Anna Goldenberg, et al.
JMIR Formative Research|April 18, 2022
Correction: An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers StudySarah M Goodday, Emma Karlin, Alexandria Alfarano, et al.
Pageof 15