Dre Maryam Moghadas
Non-Invasive Assessment of Tear Film Instability Using Ocular Thermography (E)
This presentation explores the use of ocular thermography as a non-invasive technique for assessing tear film instability and dry eye–related ocular surface changes. By analyzing temperature dynamics of the ocular surface, including thermal cooling rate and blink patterns, thermography provides objective insights into tear film behavior. The talk highlights recent research demonstrating how thermal imaging can support dry eye screening and evaluation of ocular discomfort in contact lens wearers.
CV
Maryam Moghadas is a Data Scientist experienced in machine learning, statistical analysis, and AI-driven research. She previously worked at Menicon R&D Center in Switzerland, where she developed automated ocular thermography metrics and machine learning models for dry eye screening. Her research focuses on applying AI and data science to healthcare, particularly in ophthalmology and clinical data analysis.