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Eryn Lundrigan

Showing results (1-10 of 9) with videos related to

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Nature Chemistry|October 1, 2024
Charting the ligandable proteome for stereoselective interactionsJohn Paul Pezacki, Eryn Lundrigan, Parrish Evers, et al.
ACS Omega|June 24, 2024
SARS-CoV-2 Protein Nsp9 Is Involved in Viral Evasion through Interactions with Innate Immune PathwaysEryn Lundrigan, Caroline Toudic, Emily Pennock, et al.
RSC Chemical Biology|May 1, 2025
Monitoring SARS-CoV-2 Nsp13 helicase binding activity using expanded genetic code techniquesEryn Lundrigan, Christine Hum, Nadine Ahmed, et al.
Angewandte Chemie (International Ed. in English)|December 13, 2025
Unnatural Amino Acid and Emerging Chemistry Approaches to Map RNA-Protein InteractionsEryn Lundrigan, Parrish Evers, Elexa Scott, et al.
Virology|March 12, 2025
SARS-CoV-2 Nsp13 helicase modulates miR-146a-mediated signaling pathwaysEryn Lundrigan, Spencer Uguccioni, Christine Hum, et al.
Psychiatry Research|December 25, 2021
Evaluating the perceived utility of an artificial intelligence-powered clinical decision support system for depression treatment using a simulation centerMyriam Tanguay-Sela, David Benrimoh, Christina Popescu, et al.
JMIR Formative Research|January 24, 2024
Correction: Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility StudyChristina Popescu, Grace Golden, David Benrimoh, et al.
Bjpsych Open|January 6, 2021
Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on the physician-patient interactionDavid Benrimoh, Myriam Tanguay-Sela, Kelly Perlman, et al.
JMIR Formative Research|October 25, 2021
Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility StudyChristina Popescu, Grace Golden, David Benrimoh, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Nature Chemistry|October 1, 2024
Charting the ligandable proteome for stereoselective interactionsJohn Paul Pezacki, Eryn Lundrigan, Parrish Evers, et al.
ACS Omega|June 24, 2024
SARS-CoV-2 Protein Nsp9 Is Involved in Viral Evasion through Interactions with Innate Immune PathwaysEryn Lundrigan, Caroline Toudic, Emily Pennock, et al.
RSC Chemical Biology|May 1, 2025
Monitoring SARS-CoV-2 Nsp13 helicase binding activity using expanded genetic code techniquesEryn Lundrigan, Christine Hum, Nadine Ahmed, et al.
Angewandte Chemie (International Ed. in English)|December 13, 2025
Unnatural Amino Acid and Emerging Chemistry Approaches to Map RNA-Protein InteractionsEryn Lundrigan, Parrish Evers, Elexa Scott, et al.
Virology|March 12, 2025
SARS-CoV-2 Nsp13 helicase modulates miR-146a-mediated signaling pathwaysEryn Lundrigan, Spencer Uguccioni, Christine Hum, et al.
Psychiatry Research|December 25, 2021
Evaluating the perceived utility of an artificial intelligence-powered clinical decision support system for depression treatment using a simulation centerMyriam Tanguay-Sela, David Benrimoh, Christina Popescu, et al.
JMIR Formative Research|January 24, 2024
Correction: Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility StudyChristina Popescu, Grace Golden, David Benrimoh, et al.
Bjpsych Open|January 6, 2021
Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on the physician-patient interactionDavid Benrimoh, Myriam Tanguay-Sela, Kelly Perlman, et al.
JMIR Formative Research|October 25, 2021
Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility StudyChristina Popescu, Grace Golden, David Benrimoh, et al.
Pageof 1