Tracey, alongside apprentices, Dulcelina and Gabija work at STERIS Instrument Management Service in Sheffield and were keen to learn about the Research and Lab environment.
Dr Helen Kalirai, Dr Karen Aughton, Josh Hattersley and Charlie Powell attended the Pathological Society's annual Winter Meeting in London. The Winter meeting took place over two days at the Royal Society of Medicine. Professor Sarah Coupland is the current President of the Pathological Society. Congratulations to Charlie Powell for winning 3rd prize in the poster competition.
Iryna, originally from Belarus is an MD PhD Senior researcher, Fellow ocular oncologist at the N.N. Alexandrov Belarus National Cancer Center. She recently started a Masters programme at the University of Oxford and visited LOORG in January to learn more about group's research and biobank.
The Institute of Physics and Engineering in Medicine's (IPEM) Gold Medals are awarded for outstanding contributions to practice at a national leading or internationally competitive level. The IPEM is a professional organisation and charity representing over 4,600 members drawn from healthcare, academia and industry.
Azzam Taktak - "I am truly honoured and deeply humbled to receive the IPEM Gold Medal for Academic Achievements. Over my 32-year career, I have cultivated a passion for research and teaching within the NHS. I am driven by research that advances our understanding of healthcare, and teaching that inspires the next generation of scholars." To view the full list of awards and prize winners - https://www.ipem.ac.uk/news/prizes-and-awards-winners-2024/ Josh's paper -
Revealing the structural microenvironment of high metastatic risk uveal melanomas following decellularisation. This study identifies UM metastatic risk specific ECM proteins by developing methodology for decellularisation of low- and high- metastatic risk tissue samples (LR-D3 vs. HR-M3). Max's paper - "Differentiating Choroidal Melanomas and Nevi using a self-supervised deep learning model applied to clinical fundoscopy images." Purpose of the research is to test the validity of a self-supervised deep learning model, RETFound1, for use on posterior uveal (choroidal) melanoma (UM) and nevus differentiation. |