Healthcare

3 new development areas to improve the efficacy of infertility treatments and combat the rise in infertility

Published on 06 September 2024 Read 25 min

Infertility is a disease of the male or female reproductive system defined by the failure to achieve a pregnancy after 12 months or more of regular unprotected sexual intercourse. Large numbers of people are affected by infertility in their lifetime, according to a new report published in 2023 by WHO. Around 17.5% of the adult population – roughly 1 in 6 worldwide – experience infertility, showing the urgent need to increase access to affordable, high-quality fertility care for those in need1https://www.who.int/news/item/04-04-2023-1-in-6-people-globally-affected-by-infertility. Cutting-edge technologies are driving innovative approaches to address the rising challenge of infertility. In this article, Alcimed analyses 3 new developments areas to combat the increasing infertility.

Area n°1: advancements in genetic screening and testing to lower the risk of inherited genetic conditions and increase the success rates of fertility treatments

There’s a growing emphasis on genetic screening and testing techniques such as preimplantation genetic testing (PGT), a screening test that can be performed on embryos created via in vitro fertilization (IVF) to genetically analyze the embryos prior to transfer. These technological breakthroughs enable the identification of genetic abnormalities or chromosomal disorders in embryos before implantation during assisted reproductive procedures like IVF, thereby lowering the risk of inherited genetic conditions and enhancing the success rates of fertility treatments. This evolution in genetic testing has heightened its significance in identifying the underlying causes of male and female infertility, detecting carriers of inherited diseases, and strategizing antenatal testing.

Area n°2: integration of Artificial Intelligence (AI) and machine learning to enhance the effectiveness and efficiency of infertility treatments

Artificial Intelligence and machine learning could become integral components of fertility clinics, offering more personalized and effective treatment options for individuals and couples facing infertility challenges. Artificial Intelligence and machine learning algorithms are increasingly being utilized in IVF centers to analyze large datasets from patient histories, medical records, and treatment outcomes. These technologies help in predicting fertility success rates, optimizing treatment protocols, and personalizing patient care plans based on individual factors, ultimately enhancing the effectiveness and efficiency of infertility treatments. For instance, AI algorithms are being developed to improve the selection process of viable embryos, potentially increasing the chances of successful implantation and pregnancy. Another example, Machine learning models can analyze large datasets to identify patterns and factors that contribute to infertility, aiding in more accurate diagnoses.


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Area n°3: telemedicine and remote monitoring to bring a better experience to patients with high cost-efficiency

The integration of telemedicine and remote monitoring technologies is revolutionizing infertility care by providing convenient access to fertility specialists and monitoring of treatment progress from the comfort of patients’ homes. Through virtual consultations, patients can receive personalized guidance, discuss treatment options, and receive ongoing support without the need for frequent in-person visits to the clinic. Remote monitoring tools, such as smartphone apps and wearable devices, allow patients to track fertility-related metrics, such as ovulation cycles and hormone levels, empowering them to actively participate in their treatment journey and potentially improve infertility treatment outcomes. This trend not only enhances convenience and accessibility but also facilitates continuity of care, particularly for patients in remote or underserved areas. Telemedicine and remote monitoring technologies are believed to bring a better experience to patients with high cost-efficiency and a high outcome success rate. It could serve as a complementary tool during fertility treatment to facilitate patients’ satisfaction and overcome some practical problems without compromising the treatment outcomes.

To conclude, the convergence of advancements in genetic screening and testing, AI and machine learning, and the expanding reach of telemedicine and remote monitoring are poised to revolutionize infertility care. These developments hold promise for enhancing diagnostic accuracy, personalizing treatment plans, and extending healthcare access to individuals worldwide. By leveraging cutting-edge technologies and innovative approaches, the field of infertility care is on the brink of significant advancements that could profoundly improve patient outcomes and quality of life. Alcimed can help you with your projects in these areas. Don’t hesitate to contact our team!


A propos de l’auteur,

Xiaolin, Project manager in Alcimed’s Healthcare team in France.

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