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246 results on '"Sutcliffe, Katy"'

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1. CFTR Modulators: From Mechanism to Targeted Therapeutics

6. Molecular dynamics simulations and mutagenesis to identify the mechanisms of ligand efficacy and bias at the μ opioid receptor

8. Variations of Mixed Methods Reviews Approaches: A Case Study

14. Cost-effectiveness of Microsoft Academic Graph with machine learning for automated study identification in a living map of coronavirus disease 2019 (COVID-19) research

15. A tetrapeptide class of biased analgesics from an Australian fungus targets the μ-opioid receptor

16. Developing and Testing Intervention Theory by Incorporating a Views Synthesis into a Qualitative Comparative Analysis of Intervention Effectiveness

17. School-Based Interventions for Attention-Deficit/Hyperactivity Disorder: A Systematic Review with Multiple Synthesis Methods

31. Mediating Policy-Relevant Evidence at Speed: Are Systematic Reviews of Systematic Reviews a Useful Approach?

33. Children's understanding and consent to heart surgery: Multidisciplinary teamwork and moral experiences

37. Children's understanding and consent to heart surgery: Multidisciplinary teamwork and moral experiences.

38. The anomalous pharmacology of fentanyl.

41. Interaction With the Lipid Membrane Influences Fentanyl Pharmacology

42. Children’s informed signified and voluntary consent to heart surgery: Professionals’ practical perspectives

45. What is the evidence that medical procedures which induce coughing or involve respiratory suctioning are associated with increased generation of aerosols and risk of SARS-CoV-2 infection? A rapid systematic review

47. Using automation to produce a ‘living map’ of the COVID-19 research literature

48. Rapid systematic review of systematic reviews : what befriending, social support and low intensity psychosocial interventions, delivered remotely, may reduce social isolation and loneliness among older adults and how? [version 2; peer review: 2 approved with reservations]

49. Cost-effectiveness of Microsoft Academic Graph with machine learning for automated study identification in a living map of coronavirus disease 2019 (COVID-19) research

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