Analyzing Data Science in Women's Health and Gynecology: Old Challenges, New Insights View PDF

^*Saumya Lakshman Gaddalay
Medicine, Malla Reddy Medical College, Hyderabad, Telangana, India

^*Corresponding Author:

Saumya Lakshman Gaddalay
Medicine, Malla Reddy Medical College, Hyderabad, Telangana, India

Published on: 2024-11-24

Abstract

Women's health is complex beyond medical and surgical knowledge and obstetrics and gynecology's clinical accomplishments; it encompasses not only the research dimensions of molecular biology, genetics, epidemiology, and health services, but also factors such as gender, social, and psychological influence. To improve wom en's quality of life (QoL) and healthcare, those involved in and responsible for clinical or health policy management of women's health should reflect on the findings. Providing a comprehensive review of gynecological and obstetrical topics is the objective of this short communication to review issues relevant to women's health. The study also examines contemporary issues that still require strong scientific evidence in this clinical area, as well as the intersection between women's health and data science. Data science has grown not only as a result of new investigators moving into this field, but also due to new methodologies, resources, and technologies. Furthermore, we discussed the opportunities and limitations of repurposing existing methodologies for women's health and the future of the field, with an emphasis on advancing women's health outcomes.

Keywords

Women's health, Molecular biology, Genetics, Epidemiology, Health services

Introduction

Women's health is the study, diagnosis, and treatment of conditions affecting women, including those of female biological sex and those who identify as female. In most cases, biological sex directly impacts health outcomes [1]. Human sexual dimorphism involves differences in tissues and physiological processes, and asymmetry is often associated with health conditions. Several phenotypes, including susceptibility to certain diseases, are also influenced by sex-specific genetic architecture. Gene regulation and expression are affected by differences in levels of circulating sex steroid hormones early in development as a result of sexual differentiation. It has been shown that sex differences influence hundreds of phenotypes, as diseases can vary in susceptibility, pathogenesis, symptom severity, and response to treatment [2]. According to some theories, sex-specific evolutionary pressures exerted on humans over the course of evolution could be responsible for sex differences in disease. A variety of immune threats, including external pathogens as well as the fetus, were required for maternal adaptation to high rates of fecundity and disease burden in prehistoric human reproduction. As a result of this increased immunomodulation, the fetus was able to compensate for the foreign genetic material in its body while maintaining defenses against diseases before, during, and after pregnancy. Recently, global industrialization has been associated with an increase in breast and reproductive cancers due to conflicts between women's reproductive agency and ancestral adaptations to pregnancy. As a result of human evolution, sex-specific patterns of disease prevalence and pathophysiology can also be observed [3].