“It is a huge advantage that as an SMS, I can enrich my own knowledge”

As a Scientific Methodology Supervisor, he is very dedicated to assist the students of the Critical Care and Dentistry Group, while also conducting his own Ph.D. research in interventional radiology. In February, Dávid Laczkó was named Staff Member of the Month at the Centre for Translational Medicine.

Dr. Laczkó took on the role of Junior Scientific Methodology Supervisor at CTM this academic year, and since then, he has been assisting Ph.D. students with their research. Initially, he had six students in the Critical Care Group, helping them jointly with Caner Turan, and later, he had two more students from the Dentistry Group. „We provide guidance to students together with their supervisors on how to implement their first project, which is a meta-analysis. In addition to my SMS tasks, I work part-time as a radiology resident and am also conducting my own Ph.D. research. I am currently in my second year. I started my Ph.D. training at the Centre for Translational Medicine on the recommendation of my supervisor, Balázs Nemes. I looked into the program on his suggestion, and I found it very well structured and highly organized.”

Dr. Laczkó's research is in the field of interventional radiology, and his first meta-analysis was submitted to the scientific journal Radiology in February this year. In this project, he investigated the effectiveness and safety of embolic agents in bronchial artery embolization. His second project will be a randomized clinical trial examining the efficacy of antiplatelet treatments. „Sometimes it's a bit difficult to balance my own research with helping eight Ph.D. students with their academic work, but in the long run, it helps my personal development. My students are researching very interesting topics. For example, one of them is investigating the accuracy of machine learning models in predicting extubation success in mechanically ventilated patients. The application of artificial intelligence is very interesting to me because it is already present in radiology and could play an even more important role in the future. Artificial intelligence will become increasingly important in other areas of medicine too. The other topics are also interesting and I can learn a lot from them. It is a huge advantage that as a Science Methodology Supervisor, I can enrich my own knowledge.”

(Emese Szabó)