Postdoctoral | Hope generation foundation | Iran
Short Biography 🌟
Mahsa Sara Darbandi is a dedicated researcher in the field of reproductive biotechnology, renowned for her expertise in oxidative stress impacts on spermatozoa and genetic, epigenetic, and metabolite status. She holds a Ph.D. from the Avicenna Research Institute, Tehran, Iran, where her doctoral research focused on understanding these complex interactions. Mahsa has furthered her knowledge through international programs like the American Center for Reproductive Medicine (ACRM), enhancing her skills in proteomic analysis and artificial intelligence applications in medicine.
Profile:
ORCID
Education 📚
Mahsa earned her Bachelor of Science in Biology from the University of Tabriz, Iran, followed by a Master of Science in Biochemistry from the University of Mashhad. Her thesis investigated the effects of electro-acupuncture combined with a low-calorie diet on body weight and plasma leptin levels in obese individuals. Subsequently, she pursued her Ph.D. in Reproductive Biotechnology at the Avicenna Research Institute, where she explored the intricate relationship between oxidative stress and sperm biology.
Experience 💼
Her professional journey includes significant milestones such as the Summer Mentorship Program and ART Training Program at ACRM, Cleveland Clinic, OH, where she honed her skills in laboratory methods and quality assurance in human reproduction. As part of the ACRM Global Researcher Program, Mahsa engaged in meta-analysis projects focusing on male infertility, demonstrating her proficiency in data analysis and scientific writing.
Research Interest 🔬
Mahsa’s research interests encompass the application of artificial intelligence and machine learning in medical image processing and big data analysis, particularly in the context of early cancer detection and personalized medicine for breast and prostate cancers. Her current endeavors at the Hope Generation Foundation in Tehran aim to advance early detection techniques in oncology.
Awards 🏆
Throughout her career, Mahsa has been recognized for her contributions to reproductive biology and male infertility research. Her work has been published in prestigious journals and cited extensively, underscoring her impact on the field.
Publications 📄
- Publication Title: “Impact of Oxidative Stress on Sperm DNA Integrity and Its Clinical Significance in Male Infertility”
- Journal: Journal of Reproduction & Infertility
- Summary: This study explores the detrimental effects of oxidative stress on sperm DNA integrity and its implications for male infertility. It discusses potential clinical interventions to mitigate these effects.
- Publication Title: “Epigenetic Modifications in Spermatozoa: Potential Implications for Assisted Reproductive Technologies”
- Journal: Andrologia
- Summary: This paper reviews epigenetic changes in spermatozoa and their relevance to assisted reproductive technologies (ART). It discusses how these modifications could influence embryo development and reproductive outcomes.
- Publication Title: “Metabolomic Profiling of Spermatozoa in Men with Varicocele-Associated Infertility”
- Journal: Systems Biology in Reproductive Medicine
- Summary: This research employs metabolomic profiling to identify metabolic alterations in spermatozoa from men with varicocele-associated infertility, offering insights into potential biomarkers and therapeutic targets.
- Publication Title: “Application of Artificial Intelligence in Medical Image Processing for Early Detection of Breast Cancer”
- Journal: Journal of Medical Imaging and Health Informatics
- Summary: This article explores the application of artificial intelligence techniques in medical image processing specifically for early detection of breast cancer, highlighting the potential for improved diagnostic accuracy and patient outcomes.
- Publication Title: “Genetic and Epigenetic Biomarkers in Prostate Cancer: Implications for Personalized Medicine”
- Journal: Current Genomics
- Summary: This review examines genetic and epigenetic biomarkers associated with prostate cancer, emphasizing their potential utility in personalized medicine approaches for diagnosis, prognosis, and treatment selection.