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David Connolly

Showing results (31-40 of 40) with videos related to

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Substance Use & Misuse|December 15, 2025
Understanding the Link Between Housing and Drug Use: Findings from a Survey of People Who Use Drugs in a Mid-Size Canadian CityAbiha Raza, Michelle Maroto, Heather Morris, et al.
Cells|September 9, 2022
Regenerative and Anti-Inflammatory Potential of Regularly Fed, Starved Cells and Extracellular Vesicles In VivoFederico Ferro, Renza Spelat, Georgina Shaw, et al.
Journal of Nanobiotechnology|January 24, 2012
Effects of long-term exposure of gelatinated and non-gelatinated cadmium telluride quantum dots on differentiated PC12 cellsBabu R Prasad, Gillian Mullins, Natalia Nikolskaya, et al.
NPJ Precision Oncology|October 9, 2021
Comprehensive RNA analysis of CSF reveals a role for CEACAM6 in lung cancer leptomeningeal metastasesYingmei Li, Dina Polyak, Layton Lamsam, et al.
Metabolism: Clinical and Experimental|February 18, 2024
Ketones provide an extra source of fuel for the failing heart without impairing glucose oxidationSimran Pherwani, David Connolly, Qiuyu Sun, et al.
Cells|June 7, 2020
Administration of Human Non-Diabetic Mesenchymal Stromal Cells to a Murine Model of Diabetic Fracture Repair: A Pilot StudyLuke Watson, Xi Zhe Chen, Aideen E Ryan, et al.
International Journal of Cardiology|January 19, 2026
Predicting functional results of percutaneous coronary intervention using machine learning modellingSimone Fezzi, Yueyun Zhu, Norma Bargary, et al.
Cell Reports|November 2, 2017
Single-Cell RNA-Seq Analysis of Infiltrating Neoplastic Cells at the Migrating Front of Human GlioblastomaSpyros Darmanis, Steven A Sloan, Derek Croote, et al.
European Heart Journal. Digital Health|July 24, 2025
Validation of machine learning angiography-derived physiological pattern of coronary artery diseaseYueyun Zhu, Simone Fezzi, Norma Bargary, et al.
Journal of Veterinary Internal Medicine|February 16, 2024
Automated echocardiographic left ventricular dimension assessment in dogs using artificial intelligence: Development and validationCatherine C Stowell, Valeria Kallassy, Beth Lane, et al.
Pageof 4

Showing results (31-40 of 40) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 40 results.
Substance Use & Misuse|December 15, 2025
Understanding the Link Between Housing and Drug Use: Findings from a Survey of People Who Use Drugs in a Mid-Size Canadian CityAbiha Raza, Michelle Maroto, Heather Morris, et al.
Cells|September 9, 2022
Regenerative and Anti-Inflammatory Potential of Regularly Fed, Starved Cells and Extracellular Vesicles In VivoFederico Ferro, Renza Spelat, Georgina Shaw, et al.
Journal of Nanobiotechnology|January 24, 2012
Effects of long-term exposure of gelatinated and non-gelatinated cadmium telluride quantum dots on differentiated PC12 cellsBabu R Prasad, Gillian Mullins, Natalia Nikolskaya, et al.
NPJ Precision Oncology|October 9, 2021
Comprehensive RNA analysis of CSF reveals a role for CEACAM6 in lung cancer leptomeningeal metastasesYingmei Li, Dina Polyak, Layton Lamsam, et al.
Metabolism: Clinical and Experimental|February 18, 2024
Ketones provide an extra source of fuel for the failing heart without impairing glucose oxidationSimran Pherwani, David Connolly, Qiuyu Sun, et al.
Cells|June 7, 2020
Administration of Human Non-Diabetic Mesenchymal Stromal Cells to a Murine Model of Diabetic Fracture Repair: A Pilot StudyLuke Watson, Xi Zhe Chen, Aideen E Ryan, et al.
International Journal of Cardiology|January 19, 2026
Predicting functional results of percutaneous coronary intervention using machine learning modellingSimone Fezzi, Yueyun Zhu, Norma Bargary, et al.
Cell Reports|November 2, 2017
Single-Cell RNA-Seq Analysis of Infiltrating Neoplastic Cells at the Migrating Front of Human GlioblastomaSpyros Darmanis, Steven A Sloan, Derek Croote, et al.
European Heart Journal. Digital Health|July 24, 2025
Validation of machine learning angiography-derived physiological pattern of coronary artery diseaseYueyun Zhu, Simone Fezzi, Norma Bargary, et al.
Journal of Veterinary Internal Medicine|February 16, 2024
Automated echocardiographic left ventricular dimension assessment in dogs using artificial intelligence: Development and validationCatherine C Stowell, Valeria Kallassy, Beth Lane, et al.
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