World Journal of Current Medical and Pharmaceutical Research

Enhancing IVF Outcomes with Artificial Intelligence: Current Advances and Future Possibilities

Yashaswini N — 2024-10-31

The integration of Artificial Intelligence (AI) into In Vitro Fertilization (IVF) practices has marked a revolutionary shift in reproductive medicine, offering enhanced precision, efficiency, and personalized treatment plans. The rapid advancement of Artificial Intelligence (AI) has led to significant innovations in the field of reproductive medicine, particularly in In Vitro Fertilization (IVF). Traditional IVF procedures, while effective, often face challenges such as variable success rates, high costs, and the emotional burden on patients due to multiple treatment cycles. AI offers a promising solution to these issues by enhancing accuracy, personalization, and efficiency throughout the IVF process. AI algorithms have shown remarkable capabilities in diagnosing infertility by analyzing complex datasets from hormone profiles, genetic testing, and medical imaging, enabling early identification of conditions like polycystic ovary syndrome (PCOS) and endometriosis. Moreover, one of the most promising applications of AI in IVF is embryo grading. However, AI systems have been developed to objectively evaluate embryos based on time-lapse imaging, morphology, and other parameters, improving the selection process. Additionally, AI has been instrumental in optimizing ovarian stimulation protocols by analyzing patient data to determine the appropriate medication dosage, minimizing the risk of ovarian hyperstimulation syndrome (OHSS). This review discusses the current state of AI integration in fertility treatments, successful case studies, and ongoing research to develop more sophisticated AI models. Overall, AI holds immense promise in making IVF more accessible, affordable, and successful for patients worldwide, ushering in a new era of precision medicine in reproductive health.

Review on pharmaceutical supply chain resilience: strategies for managing disruptions and ensuring continuity

J Soni Sanket — 2024-11-02

The pharmaceutical supply chain is critical to ensuring the availability of life-saving medications and healthcare products. However, it is highly vulnerable to disruptions, including natural disasters, economic and political instabilities, supply chain vulnerabilities, and technological failures. This review explores strategies for enhancing resilience within the pharmaceutical supply chain, focusing on risk management, supplier diversification, inventory management, and the integration of advanced technologies such as IoT, AI, and block chain. Case studies, including the impact of the COVID-19 pandemic, natural disasters like Hurricane Maria, and geopolitical challenges like the US-China trade war, are analyzed to extract valuable lessons and strategies that proved effective in maintaining supply chain continuity. The review also looks ahead to future trends, emphasizing the importance of digital transformation, sustainability, and ethical sourcing in building a more robust and adaptable pharmaceutical supply chain. The findings underscore the need for proactive disruption management, strategic diversification, and sustainable practices to ensure the uninterrupted delivery of essential healthcare products.

Dual Benefits of Tirzepatide: Anti-Obesity and Antidiabetic Efficacy: A Mini review

Sriram Praveen — 2024-11-12

Background: Diabetes mellitus and obesity are two linked conditions that have reached epidemic proportions globally. According to a study published in 2023 by the Indian Council of Medical Research (ICMR) , India has 10.1 crore people with diabetes. The prevalence of obesity, especially abdominal obesity is increasing continuously due to the intake of foods that are high in carbohydrates and processed foods. Obesity can cause inflammation, insulin resistance, and pancreas overload which lead to diabetes mellitus.

Main Body: The present - review focuses on the medicinal chemistry, organic chemistry and pharmacological aspects of trizepatide. Trizepatide is a new chemical moiety that shows dual agonist activity of glucagon-like peptide-1(GLP-1) receptors and glucose-dependent insulinotropic polypeptide(GIP).Trizepatide is a synthetic peptide that constitutes 39 amino acids. Trizepatide has a potent hypoglycemic effect , and it has antiobesity effects because of its adverse effect.

Conclusion : Trizepatide's capacity to lower blood sugar and promote weight loss makes it an effective treatment for these conditions. Further research will confirm its safety and long-term advantages.

Keywords : Trizepatide , Diabetes mellitus , Obesity, Hypoglycaemia