Publications by authors named "T M Goodwin"
Article Synopsis
- IgA antibodies play a crucial role in defending against mucosal pathogens like Helicobacter pylori and Citrobacter rodentium, with strong local IgA responses observed during infections.
- The study shows that production of IgA involves various immune components, including Peyer's patches and specific T-cells, and is influenced by bacterial factors like type IV secretion systems.
- Interestingly, while IgA helps control H. pylori effectively, its absence leads to severe infections and weight loss with C. rodentium, highlighting that IgA's effects can vary depending on the pathogen involved.*
Article Synopsis
- The study aimed to assess opioid usage and prescribing trends among workers' compensation (WC) patients after foot or ankle surgeries compared to a control group of non-WC patients.
- A total of 118 patients were analyzed, revealing that 67% of WC patients received multiple opioid prescriptions post-surgery, significantly higher than the 39% of non-WC patients.
- The findings suggest that WC patients have greater opioid prescription rates, highlighting the need for physicians to discuss opioid expectations and set safe prescribing limits before surgery.
Total knee arthroplasty (TKA) is an orthopaedic operation that improves quality of life and reduces pain in patients with disabling arthritis of the knee. One commonly recognized complication is flexion contracture of the knee. Early physical therapy helps prevent flexion contracture and improve range of motion (ROM) postoperatively.
View Article and Find Full Text PDFBackground: Hepatocellular carcinoma (HCC) recurrence following surgical resection remains a significant clinical challenge, necessitating reliable predictive models to guide personalised interventions. In this study, we sought to harness the power of artificial intelligence (AI) to develop a robust predictive model for HCC recurrence using comprehensive clinical datasets.
Methods: Leveraging data from 958 patients across multiple centres in Australia and Hong Kong, we employed a multilayer perceptron (MLP) as the optimal classifier for model generation.