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Emily Lam

Showing results (51-60 of 63) with videos related to

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Supportive Care in Cancer : Official Journal of the Multinational Association of Supportive Care in Cancer|November 4, 2024
Concordance of patient- and clinician-reported outcomes of acute radiation dermatitis in breast cancerMilena Gojsevic, Thenugaa Rajeswaran, Liying Zhang, et al.
BMJ Open Gastroenterology|March 22, 2024
Study protocol for a Randomised controlled trial of EArly transjugular intrahepatiC porTosystemic stent-shunt in Acute Variceal Bleeding (REACT-AVB trial)Dhiraj Tripathi, David Patch, Homoyon Mehrzad, et al.
JACC. Cardiooncology|August 16, 2021
Machine Learning Identifies Clinical and Genetic Factors Associated With Anthracycline Cardiotoxicity in Pediatric Cancer SurvivorsMarie-A Chaix, Neha Parmar, Caroline Kinnear, et al.
BMJ Medicine|February 27, 2026
Making clinical guidelines work for people with multiple long term conditions: analysis and recommendations from review of single condition guidelinesSara Pretorius, Victoria Bartle, Sue Bellass, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|December 9, 2022
Mepitel Film for the Prevention of Acute Radiation Dermatitis in Breast Cancer: A Randomized Multicenter Open-Label Phase III TrialTara Behroozian, Lauren Milton, Irene Karam, et al.
JBMR Plus|February 5, 2026
Time to reframe osteoporosis: a position statement to characterize the osteoporosis care gapZoe Paskins, Laurna Bullock, Ashley Hawarden, et al.
Journal of Clinical Epidemiology|September 2, 2024
A survey of experts to identify methods to detect problematic studies: stage 1 of the INveStigating ProblEmatic Clinical Trials in Systematic Reviews projectJack Wilkinson, Calvin Heal, George A Antoniou, et al.
Medrxiv : the Preprint Server for Health Sciences|April 8, 2024
A survey of experts to identify methods to detect problematic studies: Stage 1 of the INSPECT-SR ProjectJack Wilkinson, Calvin Heal, George A Antoniou, et al.
BMJ Open|March 12, 2024
Protocol for the development of a tool (INSPECT-SR) to identify problematic randomised controlled trials in systematic reviews of health interventionsJack Wilkinson, Calvin Heal, George A Antoniou, et al.
Ewha Medical Journal|July 31, 2025
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translationGary S Collins, Karel G M Moons, Paula Dhiman, et al.
Pageof 7

Showing results (51-60 of 63) with videos related to

Sort By:
Pageof 7
Supportive Care in Cancer : Official Journal of the Multinational Association of Supportive Care in Cancer|November 4, 2024
Concordance of patient- and clinician-reported outcomes of acute radiation dermatitis in breast cancerMilena Gojsevic, Thenugaa Rajeswaran, Liying Zhang, et al.
BMJ Open Gastroenterology|March 22, 2024
Study protocol for a Randomised controlled trial of EArly transjugular intrahepatiC porTosystemic stent-shunt in Acute Variceal Bleeding (REACT-AVB trial)Dhiraj Tripathi, David Patch, Homoyon Mehrzad, et al.
JACC. Cardiooncology|August 16, 2021
Machine Learning Identifies Clinical and Genetic Factors Associated With Anthracycline Cardiotoxicity in Pediatric Cancer SurvivorsMarie-A Chaix, Neha Parmar, Caroline Kinnear, et al.
BMJ Medicine|February 27, 2026
Making clinical guidelines work for people with multiple long term conditions: analysis and recommendations from review of single condition guidelinesSara Pretorius, Victoria Bartle, Sue Bellass, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|December 9, 2022
Mepitel Film for the Prevention of Acute Radiation Dermatitis in Breast Cancer: A Randomized Multicenter Open-Label Phase III TrialTara Behroozian, Lauren Milton, Irene Karam, et al.
JBMR Plus|February 5, 2026
Time to reframe osteoporosis: a position statement to characterize the osteoporosis care gapZoe Paskins, Laurna Bullock, Ashley Hawarden, et al.
Journal of Clinical Epidemiology|September 2, 2024
A survey of experts to identify methods to detect problematic studies: stage 1 of the INveStigating ProblEmatic Clinical Trials in Systematic Reviews projectJack Wilkinson, Calvin Heal, George A Antoniou, et al.
Medrxiv : the Preprint Server for Health Sciences|April 8, 2024
A survey of experts to identify methods to detect problematic studies: Stage 1 of the INSPECT-SR ProjectJack Wilkinson, Calvin Heal, George A Antoniou, et al.
BMJ Open|March 12, 2024
Protocol for the development of a tool (INSPECT-SR) to identify problematic randomised controlled trials in systematic reviews of health interventionsJack Wilkinson, Calvin Heal, George A Antoniou, et al.
Ewha Medical Journal|July 31, 2025
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translationGary S Collins, Karel G M Moons, Paula Dhiman, et al.
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