In Vitro Fertilization at IgMin Research | Medicine Group
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About
In Vitro Fertilization (IVF) is a groundbreaking assisted reproductive technology that involves fertilizing an egg outside the human body and implanting the resulting embryo into the uterus. This field is crucial for individuals and couples facing infertility, offering a solution for those struggling to conceive naturally. Researchers in IVF focus on optimizing the techniques involved in egg retrieval, embryo culture, and implantation to increase success rates and ensure healthy pregnancies.
The study of IVF integrates insights from embryology, reproductive medicine, and genetics to enhance the understanding of fertility and improve clinical outcomes. By exploring areas such as embryo selection, cryopreservation, and preimplantation genetic testing, research in IVF aims to refine procedures and address challenges related to fertility treatments. Advancements in this field are essential for enhancing reproductive health, expanding treatment options, and fulfilling the dream of parenthood for countless individuals.
Why publish with us?
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Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
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Permanent Archiving – CrossRef DOI
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Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Lunar-Derived Propellants for Fueling Mars-Bound Spacecraft in Cis-Lunar Space
- Methodology of the Professional-Business Game for the Development of a Cadet Leader in Professional Training Courses (L-1B) of the Tactical Level of Military Education
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Modeling of an Electric-fired Brick Oven, Directly Heated
