High throughput sequencing (HTS) is a powerful molecular tool for analyzing the genomic data of gynecological samples. HTS enables researchers to identify genetic alterations associated with gynecological diseases, as well as to detect the presence of infectious agents in gynecological samples. HTS can also be used to study the transcriptome and epigenetic profile of gynecological samples, providing valuable insights into the mechanisms underlying gynecological diseases. HTS has been widely used in the study of gynecological cancers, such as ovarian, cervical, and endometrial cancer. Using HTS, researchers can identify the genetic alterations associated with these types of cancer and develop targeted therapies to treat them. HTS is also useful for identifying novel biomarkers to diagnose and monitor gynecological cancers. In addition to its use in cancer research, HTS can also be used to study non-malignant gynecological diseases such as endometriosis and polycystic ovary syndrome. HTS can help identify genetic variants associated with these diseases and provide insights into their underlying mechanisms. Furthermore, HTS can be used to detect the presence of infectious agents such as HPV, which can cause cervical cancer. Overall, HTS is a powerful tool for studying gynecological diseases. HTS has enabled researchers to gain valuable insights into the causes and development of these diseases, as well as to develop targeted therapies for treating them. As HTS technologies continue to advance, it is likely that HTS will become an increasingly important tool for gynecological research.
Title : Male factors in recurrent pregnancy loss
Nicoletta Di Simone, Humanitas University Milan, Italy
Title : Understanding pelvic organ prolapse
Woojin Chong, NYU Langone Medical Center, United States
Title : Efficacy of full piers calculator in predicting adverse maternal outcomes in preeclampsia at a tertiary care hospital in South India
Sangeetha Shah, Osmania Medical College, India
Title : Pulmonary embolism in pregnancy
Orfanoudaki Irene, University Hospital of Heraklion, Greece
Title : Role of artificial intelligence in the diagnosis and management of endometriosis. The prospect of the future
Mohamed Hosni, London North West University Hospitals, United Kingdom
Title : Vaginal colonization by uropathogenic microorganisms: A key contributor to reproductive failure in mice
Vijay Prabha, Panjab University, India