3rd Edition of Global Conference on Gynecology & Women's Health
October 27-29, 2025 | Orlando, Florida, USA
Assisted Reproductive Technologies (ART) & IVF
Advances in Assisted Reproductive Technologies (ART) & IVF have dramatically transformed fertility medicine, offering new hope to individuals and couples facing conception challenges. From controlled ovarian stimulation and intracytoplasmic sperm injection (ICSI) to embryo freezing and preimplantation genetic testing, ART methods have evolved with precision and personalization at their core. The success rates of in vitro fertilization are steadily increasing due to refined lab protocols, improved embryo culture systems, and better endometrial preparation techniques. Ethical considerations, access equity, and patient-centered counseling remain integral to ART practices. As Assisted Reproductive Technologies (ART) & IVF become more sophisticated, a deeper focus on safety, efficiency, and long-term health outcomes is shaping the next generation of reproductive solutions.
Irene Eirini Orfanoudaki
University Hospital, Heraklion, Greece
Marlen Sulamanidze
Plastic Surgeon, Georgia
Mohamed M Hosni
London North West University Healthcare NHS Trust, United Kingdom
Margot Debrabandere
Stamford Hospital, United States
Carrie Eutizi
Arizona Coalition to End Sexual & Domestic Violence, United States
Swati Kumari
BronxCare Hospital, United States
Cristina Cardenas
BronxCare Health System, United StatesSubmit your abstract Today
Title : Male factors in recurrent pregnancy loss
Nicoletta Di Simone, Humanitas University Milan, Italy
Title : Application of thread technology in aesthetic and functional gynecology
Marlen Sulamanidze, Plastic Surgeon, Georgia
Title : Pulmonary embolism in pregnancy
Irene Eirini Orfanoudaki, University Hospital, Heraklion, Greece
Title : Understanding pelvic organ prolapse
Woojin Chong, NYU Langone Medical Center, United States
Title : Vaginal colonization by uropathogenic microorganisms: A key contributor to reproductive failure in mice
Vijay Prabha, Panjab University, India
Title : Role of artificial intelligence in the diagnosis and management of endometriosis. The prospect of the future
Mohamed M Hosni, London North West University Healthcare NHS Trust, United Kingdom