Testing the effects of photobiomodulation on angiogenesis in a newly established CAM burn wound model.

Burn wounds are a common challenge for medical professionals. Current burn wound models hold several limitations, including a lack of comparability due to the heterogeneity of wounds and differences in individual wound healing. Hence, there is a need for reproducible in vivo models. In this study, we established a new burn wound model using the chorioallantoic membrane assay (CAM) as a surrogate model for animal experiments. The new experimental setup was tested by investigating the effects of the auspicious biophysical therapy, photobiomodulation (PBM), on the wound healing of an induced CAM burn wound with a metal stamp. PBM has been shown to positively influence wound healing through vascular proliferative effects and the increased secretion of chemotactic substances. The easily accessible burn wounds can be treated with various therapies. The model enables the analysis of ingrowing blood vessels (angiogenesis) and diameter and area of the wounds. The established model was used to test the effects of PBM on burn wound healing. PBM promoted angiogenesis in burn wounds on day 4 (p = 0.005). Furthermore, there was a not significant trend toward a higher number of vessels for day 6 (p = 0.065) in the irradiated group. Changes in diameter (p = 0.129) and the burn area (p = 0.131) were not significant. Our results suggest that CAM can be a suitable model for studying burn wounds. The novel experimental design enables reproducible and comparable studies on burn wound treatment.

Ethics teaching in medical school: the perception of medical students.

BACKGROUND: In times of a pandemic, morals and ethics take center stage. Due to the challenges of the pandemic and ongoing discussions about the end of life, student teaching demands might have changed. This study aimed to evaluate teaching ethics, law, and decision-making skills in medical education via a survey to customize the curriculum to the students' needs. Furthermore, gender differences were examined to determine gender equality in medical education. METHODS: The medical students at the Medical University of Vienna were requested to complete an anonymous online survey, providing feedback on the teaching of ethics, law, and decision-making skills. RESULTS: Our study showed the students' strong demand for more teaching of ethics, law, and decision-making skills. Moreover, we found that students were afraid to encounter ethical and moral dilemmas. Gender differences could be found, with female students assessing their knowledge and the teaching as being more insufficient, resulting in greater fear of encountering ethical and moral dilemmas. CONCLUSION: The fear of encountering ethical and moral dilemmas might be linked to medical students' self-perceived insufficient legal knowledge. The education should guarantee gender equality in medical training and be customized to the students to provide the future doctors with the ethical and legal expertise to preserve the patient's rights and protect their mental health.

A Novel Artificial Intelligence-Based Approach for Quantitative Assessment of Angiogenesis in the Ex Ovo CAM Model.

Angiogenesis is a highly regulated process. It promotes tissue regeneration and contributes to tumor growth. Existing therapeutic concepts interfere with different steps of angiogenesis. The quantification of the vasculature is of crucial importance for research on angiogenetic effects. The chorioallantoic membrane (CAM) assay is widely used in the study of angiogenesis. Ex ovo cultured chick embryos develop an easily accessible, highly vascularised membrane on the surface. Tumor xenografts can be incubated on this membrane enabling studies on cancer angiogenesis and other major hallmarks. However, there is no commonly accepted gold standard for the quantification of the vasculature of the CAM. We compared four widely used measurement techniques to identify the most appropriate one for the quantification of the vascular network of the CAM. The comparison of the different quantification methods suggested that the CAM assay application on the IKOSA platform is the most suitable image analysis application for the vasculature of the CAM. The new CAM application on the IKOSA platform turned out to be a reliable and feasible tool for practical use in angiogenesis research. This novel image analysis software enables a deeper exploration of various aspects of angiogenesis and might support future research on new anti-angiogenic strategies for cancer treatment.