145 results on '"Fuggle, Nicholas R."'
Search Results
2. Fracture Risk and Health Profiles Differ According to Relationship Status: Findings from the Hertfordshire Cohort Study
3. Evidence-Based Guideline for the management of osteoporosis in men
4. Do lifestyle, anthropometric and demographic factors associated with muscle strength differ in a UK and Japanese cohort? An exploratory analysis
5. Machine learning as an adjunct to expert observation in classification of radiographic knee osteoarthritis: findings from the Hertfordshire Cohort Study
6. Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors
7. Multimodal Multidisciplinary Management of Patients with Moderate to Severe Pain in Knee Osteoarthritis: A Need to Meet Patient Expectations
8. Relationships Between Muscle Parameters and History of Falls and Fractures in the Hertfordshire Cohort Study: Do All Muscle Components Relate Equally to Clinical Outcomes?
9. What impact does osteoarthritis have on ability to self-care and receipt of care in older adults? Findings from the Hertfordshire Cohort Study
10. Determinants of muscle density and clinical outcomes: Findings from the Hertfordshire Cohort Study
11. Artificial intelligence and machine learning in dermatological research and healthcare: British Society for Investigative Dermatology Skin Club Report, Southampton, April 2024.
12. Epigenetic regulation of bone mass
13. Fracture Risk Assessment and How to Implement a Fracture Liaison Service
14. How to Identify Individuals Requiring Anti-osteoporosis Therapy: Imaging in Bone Health
15. Corrigendum to “Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors” [Bone. 2023 Mar:168:116653]
16. Relationships between non-communicable disease, social isolation and frailty in community dwelling adults in later life: findings from the Hertfordshire Cohort Study
17. Level and change in bone microarchitectural parameters and their relationship with previous fracture and established bone mineral density loci
18. The treatment gap: The missed opportunities for osteoporosis therapy
19. Relationships Between Level and Change in Sarcopenia and Other Body Composition Components and Adverse Health Outcomes: Findings from the Health, Aging, and Body Composition Study
20. Long-term rates of change in musculoskeletal aging and body composition: findings from the Health, Aging and Body Composition Study
21. Fracture prediction, imaging and screening in osteoporosis
22. Epidemiology of Fractures
23. Concordance between clinical and radiographic evaluations of knee osteoarthritis
24. The adverse effect profile of oral azathioprine in pediatric atopic dermatitis, and recommendations for monitoring
25. A Need to Meet Patient Expectations
26. P095 Epigenetic clocks have the potential to predict future grip strength in males but not females
27. OA22 Machine learning and computer vision of bone microarchitecture can improve the fracture risk prediction provided by DXA and clinical risk factors
28. Familial Associations in Bone and Muscle Health in the Hertfordshire Intergenerational Study
29. Determinants of Muscle Density and Clinical Outcomes: Findings from the Hertfordshire Cohort Study
30. Associations of osteoporosis and sarcopenia with frailty and multimorbidity among participants of the Hertfordshire Cohort Study
31. Relationships between non-communicable disease, social isolation and frailty in community dwelling adults in later life: findings from the Hertfordshire Cohort Study
32. UKRI MRC National Musculoskeletal Ageing Network: strategic prioritisation to increase healthy lifespan and minimise physical frailty.
33. Will social media banish the bleep? An analysis of hospital pager activity and instant messaging patterns
34. Fracture Risk Assessment and How to Implement a Fracture Liaison Service
35. Pharmacogenomic Effects of β-Blocker Use on Femoral Neck Bone Mineral Density
36. P107 Can a computer sense the symptoms of osteoarthritis from a radiograph? Initial findings from a pilot, AI approach to osteoarthritis assessment
37. P113 How has COVID-19 affected the treatment of osteoporosis? The answers from a global survey
38. Will social media banish the bleep? An analysis of hospital pager activity and instant messaging patterns
39. Relationships Between Level and Change in Sarcopenia and Other Body Composition Components and Adverse Health Outcomes: Findings from the Health, Aging, and Body Composition Study
40. The epidemiology of osteoporosis
41. O05 How does radiographic knee OA impact musculoskeletal aging in midlife? Findings from the Hertfordshire Cohort study
42. P64 Does pain peak at night? The daily rhythm of musculoskeletal searches on the NHS website
43. Associations of osteoporosis and sarcopenia with frailty and multimorbidity among participants of the Hertfordshire Cohort Study.
44. 158 Jumping Joints: the complex relationship between osteoarthritis and a jumping mechanography
45. O15 Does knee pain or radiographic osteoarthritis better predict future muscle outcomes? Findings from the Hertfordshire Cohort Study
46. Risk Factors for Fracture in Alcohol-dependent, Pre-menopausal Females
47. 101 Relationships between markers of inflammation, grip strength and bone mineral density: findings from the Hertfordshire Cohort Study
48. e26 UK Rheumatologist in Training Network: results from first national multi-site audit: documentation and consent for intra-articular and soft tissue injection (IAI)
49. 308 What's keeping you awake at night? A study of pain trendography
50. e20 Vitamin D associated single nucleotide polymorphisms are associated with bone mass and microarchitecture in later life: findings from the Hertfordshire Cohort Study
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