Request
We are seeking a postdoctoral researcher to join our team of the Biomarkers and genomic reproductive medicine research line
Author
Marcos Meseguer Escrivá
Principal Investigator
IVIRMA Global
Valencia, Spain
3 profile visits
Our research is focused on the integration of Artificial Intelligence (AI) to improve the evaluation, classification, and diagnosis of gametes and embryos.
My organisation
IVIRMA Global is the world leader in reproductive medicine, specializing in assisted reproductive technology (ART). With a presence in 15 countries and more than 190 clinics, IVIRMA has helped bring over 200,000 babies into the world and performed more than 150,000 treatments in 2023.
Pillar 1: Scientific Innovation and Technology
IVIRMA leads research in ART through the IVI RMA Global Research Alliance, a scientific platform with over 350 researchers that has published more than 3,000 scientific articles, surpassing competitors in volume. Their research areas include female and male fertility, preimplantation genetics, cryobiology, epigenetics, stem cells, immunology, and reproductive psychology.
Pillar 2: Global Education
IVIRMA Global Education is recognized as a leader in reproductive medicine training. It offers postgraduate programs in collaboration with universities such as the University of Valencia and the European University of Madrid, as well as over 50 online courses covering gynecology, embryology, genetics, and psychology. The organization also provides hands-on clinical training, mentorship programs, and specialized consulting services for professionals in the field.
Pillar 3: Clinical and Operational Excellence
IVIRMA stands out for its focus on clinical quality and operational efficiency. Its organizational model integrates Medical Affairs, Research, Operations, and Global Education departments to ensure high-quality patient care and outstanding clinical outcomes.
Pillar 4: Technology Serving Patients
IVIRMA has implemented advanced technological solutions, such as Mixed Reality using HoloLens 2 and Microsoft Azure, to enhance patients’ understanding of their treatments. These tools allow patients to visualize and better comprehend medical procedures, facilitating communication and informed decision-making.
In summary, IVIRMA Global combines scientific innovation, excellent education, high-quality clinical care, and cutting-edge technology to provide comprehensive solutions in reproductive medicine.
About me
Research Team and Line of Work – Clinical Embryology and Artificial Intelligence
Our research group is embedded in the field of Clinical Embryology, with a strong focus on the integration of Artificial Intelligence (AI) to improve the evaluation, classification, and diagnosis of gametes (sperm and oocytes) and embryos. We are a multidisciplinary team working at the intersection of reproductive biology, embryology, and data science, aiming to enhance the precision and objectivity of reproductive assessment tools.
One of our main lines of research is the development of AI-based models to analyze both static images and time-lapse videos of embryonic development. Through these models, we aim to identify phenotypic and developmental characteristics that can serve as non-invasive biomarkers for embryo quality and implantation potential. A key objective is to refine embryo selection by integrating morphological and kinetic features, ultimately improving clinical outcomes in assisted reproduction.
We are also exploring non-invasive methods for assessing the chromosomal status of embryos, using indirect markers derived from image analysis and culture media. This approach aspires to complement or eventually replace traditional invasive techniques for preimplantation genetic testing.
In parallel, our group conducts research on sperm quality and selection methods. We are particularly focused on developing AI-assisted techniques to assess sperm morphology, motility, and functional competence in a reliable and reproducible manner. These tools aim to optimize sperm selection for fertilization and improve outcomes in assisted reproductive technologies (ART).
Furthermore, we investigate the impact of cryopreservation and thawing processes on both oocytes and embryos. Our studies examine how these procedures affect embryo viability and reproductive success, seeking to identify predictive indicators and refine current laboratory protocols.
Through these interconnected research lines, we aim to contribute significantly to the advancement of personalized and evidence-based reproductive medicine, leveraging the power of AI to bring precision and standardization to the embryology laboratory.
Dr. Marcos Meseguer
Skills
- Embryology
- Artificial Intelligence
- Assisted Reproductive Technology
- reproductive medicine
- Personalized medicine
- In Vitro Fertilization
- deep learning
- infertility
- AI
- Statics
- computer science
- Genomics
- Transcriptomics
- Biomarkers
Interests
- Embryology
- Artificial Intelligence
- AI
- Assisted Reproductive Technology
- reproductive medicine
- deep learning
- infertility
- computer science