Research
Peer-reviewed research and founder thought leadership on AI in IVF and reproductive medicine.
Research
Sperm Selection: A Critical Checkpoint for ICSI Success
Background: Intracytoplasmic Sperm Injection (ICSI) revolutionized the treatment of male factor infertility by bypassing all natural selection barriers. This places the entire burden of selection on the embryologist, who conventionally chooses a spermatozoon based on subjective morphological and motility assessment at 200–400x magnification. This "conventional checkpoint" is increasingly recognized as insufficient, as it fails to detect critical molecular defects, most notably Sperm DNA Fragmentation (SDF), which can lead to poor embryo development, implantation failure, and recurrent pregnancy loss.
The Toll of a Disjointed System: How Fragmented Fertility Care and Neglected Mental Health Undermine Women's Reproductive Journeys
Background: While fertility medicine has made significant technological advancements, the delivery of care often remains fragmented, operating in silos that separate physical treatment from psychological support. This fragmented care model creates significant gaps in support for women navigating the stressful path to parenthood. This paper reviews the scientific literature to examine the detrimental effects of fragmented fertility care and the associated lack of integrated mental health support on women's reproductive journeys.
The End of the Biopsy? AI and Non-Invasive Studies for Embryo Ploidy Detection
Background: The selection of a euploid (chromosomally normal) embryo for transfer is the most critical determinant of success in In Vitro Fertilization (IVF). The current gold standard, Preimplantation Genetic Testing for Aneuploidy (PGT-A), is highly effective but requires an invasive trophectoderm biopsy, which carries risks, adds cost, and raises concerns about embryonic mosaicism. This has driven a search for non-invasive methods to assess ploidy.
Founder Articles
The Future of Embryology: How AI Is Transforming IVF Labs
Founder Aparna Satheesh explores the evolution of artificial intelligence in embryology, from early computer-aided systems to today's sophisticated deep learning models. This article examines the ethical considerations, clinical validation requirements, and future directions of AI in reproductive medicine.
Building Trust in AI: Transparency and Explainability in Fertility Tech
An exploration of the critical importance of transparency and explainability in AI-driven fertility solutions. Aparna discusses the ethical framework guiding ReproAlign's development, the need for clinician oversight, and strategies for building trust with patients and practitioners.
From Embryologist to Entrepreneur: Bridging Science and Innovation
A personal reflection on the journey from clinical embryology to founding a fertility tech company. Aparna shares insights on the challenges of translating clinical expertise into scalable technology, the importance of interdisciplinary collaboration, and the vision driving ReproAlign's mission.
PCOS and Personalized Medicine: The Next Frontier in Women's Health
Examining the potential of AI-driven personalized medicine for PCOS management. This article discusses how predictive analytics and pattern recognition can transform treatment approaches, reduce medication burden, and improve quality of life for millions of women worldwide.
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