A5101639157- Pituitary Gland Disorders and Treatments
- Cerebral Venous Sinus Thrombosis
- Meningioma and schwannoma management
- Brain Tumor Detection and Classification
- Allergic Rhinitis and Sensitization
- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Hormonal and reproductive studies
- Innovations in Medical Education
- Birth, Development, and Health
- Cerebrospinal fluid and hydrocephalus
- Radiology practices and education
- Food Allergy and Anaphylaxis Research
- Occupational exposure and asthma
- Educational Assessment and Pedagogy
- Pelvic and Acetabular Injuries
- Reconstructive Surgery and Microvascular Techniques
- Gastrointestinal disorders and treatments
- Pancreatitis Pathology and Treatment
- Traumatic Brain Injury and Neurovascular Disturbances
- Urinary Bladder and Prostate Research
- Breast Implant and Reconstruction
- Pediatric Hepatobiliary Diseases and Treatments
- Prostate Cancer Treatment and Research
- Body Image and Dysmorphia Studies
Royal London Hospital
2023
Imperial College Healthcare NHS Trust
2021
Addenbrooke's Hospital
2021
Cambridge University Hospitals NHS Foundation Trust
2021
University of Cambridge
2021
University College London
2016
University of Alberta
2015
Istituti di Ricovero e Cura a Carattere Scientifico
1997
European Institute of Oncology
1997
Wright State University
1992
Type II odontoid fractures are known to have low fusion rates following conservative management with a hard collar. However, most patients elderly comorbidities and not fit for surgery. The present study identified the of bony fusion, complications, clinical outcomes type fractures.We included consecutive referred suspected fracture Major Trauma Centre in UK between March 2015 December 2017. Data including patient demographics, management, complications outcomes. Bony was assessed by two...
We report a unique first case of benign heterotopic pancreas arising within the proximal hepatic bile duct, containing focus intraductal papillary mucinous neoplasm (IPMN). The condition was diagnosed on pathological explant after left lobectomy with total extrahepatic duct excision.
Abstract Aims To generate an accurate prediction model for greater than median survival using Random Forest machine learning analysis and to compare the a traditional logistic regression on same Glioblastoma Dataset. Method In this single centre retrospective cohort study, all patients with histologically diagnosed primary GB from October 2014 April 2019 were included (n=466). Machine algorithms encompassing multiple Forest, Gini index-based decision tree 100,000 trees used. 17 clinical,...