Advancements in reproductive technology are now approaching an unprecedented frontier: the pregnancy robot, a potential artificial womb capable of carrying a fetus from fertilization to birth. This innovation, by simulating the natural uterine environment, could redefine pregnancy and parenthood, offering transformative benefits for maternal and infant health. The pregnancy robot promises safer pathways for individuals with medical risks, LGBTQ + couples, and single parents, while also reducing the risks of complications like preeclampsia and preterm birth. It builds on the foundations laid by assisted reproductive technologies (ART), aiming to make the process more accessible and inclusive. However, the introduction of such technology brings with it complex ethical and social questions, including potential impacts on maternal-child bonding, gender roles, and societal norms surrounding motherhood. Further concerns revolve around equitable access, as socioeconomic divides may restrict this technology to those with financial resources, and the risk of cultural and religious opposition. Legal, regulatory, and environmental considerations must also be addressed to responsibly integrate this technology. This article discusses the profound promise and ethical challenges of pregnancy robots, highlighting the need for thoughtful implementation and collaborative dialogue to ensure that the technology, if realized, can benefit all facets of society and pave the way for a more inclusive future in reproductive health.
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http://dx.doi.org/10.1007/s10916-025-02147-6 | DOI Listing |
J Med Syst
January 2025
Department of Pharmacology, MGM Medical College & Hospital, MGM Institute of Health Sciences (MGMIHS), Nerul, Navi Mumbai, 400706, India.
Advancements in reproductive technology are now approaching an unprecedented frontier: the pregnancy robot, a potential artificial womb capable of carrying a fetus from fertilization to birth. This innovation, by simulating the natural uterine environment, could redefine pregnancy and parenthood, offering transformative benefits for maternal and infant health. The pregnancy robot promises safer pathways for individuals with medical risks, LGBTQ + couples, and single parents, while also reducing the risks of complications like preeclampsia and preterm birth.
View Article and Find Full Text PDFCureus
December 2024
Urogynecology, Advanced Center for Urogynecology Private Limited, Chennai, IND.
Background Obesity is postulated to be a high-risk factor for thrombosis along with the inherent hypercoagulability of pregnancy. The Confidential Review of Maternal Deaths (CRMD) found that thrombosis was one of the major causes of maternal deaths in Kerala. This study investigates the major risk factor - obesity and its association with thrombosis in our study setting, along with other risk factors.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Women's Health, University Hospital Tübingen, 72076 Tübingen, Germany.
Postoperative adhesions represent a major medical challenge and are associated with serious health and economic consequences. 4DryField PH (PlantTec Medical GmbH, Lueneburg, Germany) is a starch-based medical device designed both to prevent adhesions and for hemostasis. This paper explores methods to successfully apply it in gynecological surgery, leveraging the authors' extensive clinical experience.
View Article and Find Full Text PDFCRSLS
December 2024
Rutgers New Jersey Medical School, Department of Surgery, Newark, New Jersey. (Drs. Lad, Hsiung, and Amin).
Introduction: It is rare for adult female patients to present with incarcerated inguinal hernias containing ovary, fallopian tube, or uterine tissue. Potential surgical treatment options for incarcerated inguinal hernias containing ovary, fallopian tube or uterine tissue include open inguinal hernia repair (IHR), laparoscopic or robotic IHR.
Case Description: Herein, we report a case of an adult female presenting with a unilateral incarcerated inguinal hernia containing ectopic pregnancy.
Sci Rep
December 2024
School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India.
Dairy product requirement and the demand-supply gap of milk in Ethiopia have been increasing at an alarming rate due to various factors such as shortage of animal's feeds, feed staffs, feed costs, and poor genetic merits of the local breeds of the country. This problem can be lessened by selecting best breed and modern animal breeding facilities, which require technologies like big data analysis and machine learning. In this study, a prediction model that can predict age at first calving of weaned calves based on their pre-weaning and weaning parameters, including dam's parity number, season of calving, birth weight, pre-weaning health status, pre-weaning average daily weight gain (ADG), weaning age and weaning weight is developed.
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