A5027500841- Dermatology and Skin Diseases
- Autoimmune and Inflammatory Disorders
- Cutaneous lymphoproliferative disorders research
- Autoimmune Bullous Skin Diseases
- Psoriasis: Treatment and Pathogenesis
- AI in cancer detection
- Eosinophilic Disorders and Syndromes
- Cutaneous Melanoma Detection and Management
- Eosinophilic Esophagitis
- Hidradenitis Suppurativa and Treatments
- Neuroblastoma Research and Treatments
- COVID-19 Clinical Research Studies
- Dermatological diseases and infestations
- IL-33, ST2, and ILC Pathways
- Dermatological and COVID-19 studies
- Skin Protection and Aging
- Oral Health Pathology and Treatment
- Neuroendocrine Tumor Research Advances
- Muscle and Compartmental Disorders
- Nail Diseases and Treatments
- Lung Cancer Research Studies
- Allergic Rhinitis and Sensitization
St Vincent's Hospital
2022-2025
Alfred Health
2023-2024
Peter MacCallum Cancer Centre
2024
Intravenous immunoglobulins (IVIG) have been increasingly used for various inflammatory dermatoses with success. Small case series and reports suggest a role IVIG in the management of refractory pyoderma gangrenosum (PG).The objective was to study characteristics PG patients treated efficacy safety PG.An analysis performed all from 2012 2022 at an Australian tertiary hospital seeing high volume patients.We identified 12 patients, 9 females 3 males, median age 61 years (29-77) commencement....
Neuroendocrine tumours (NETs) are rare cancers which often carry significant morbidity and mortality, frequently related to burden of liver metastases. Hyperammonaemia subsequent hepatic encephalopathy carries a poor prognosis has been described in these patients. We discuss case woman her 50s with hyperammonaemic new diagnosis pancreatic NET She presented reduced conscious state few days post commencing chemotherapy. This was considered have multifactorial pathophysiology: the primary...
Skin cancer is a prevalent and clinically significant condition, with early accurate diagnosis being crucial for improved patient outcomes. Dermoscopy artificial intelligence (AI) hold promise in enhancing diagnostic accuracy. However, the impact of image quality, particularly high dynamic range (HDR) conversion smartphone images, on performance remains poorly understood.