Latest AI and machine learning research in infertility for healthcare professionals.
SEED-ML (Semen Examination and Evaluation Dataset for Machine Learning) is an openly available, multi-parametric clinical dataset specifically designed to support research in male infertility diagnostics and prediction. SEED-ML refers specifically to the dataset repository and its clinical structure, and not to a specific machine learning model or diagnostic method. In this sense, SEED-ML comprise...
A major challenge in deciphering the complex genetic landscape of polycystic ovary syndrome (PCOS) lies in the limited understanding of how susceptibility loci drive molecular mechanisms across diverse phenotypes. To address this, we integrated molecular and epigenomic annotations from proposed causal cell types and employed a deep learning (DL) framework to predict cell type-specific regulatory e...
Precise staging of endometriosis remains a clinical challenge, as current diagnosis depends almost entirely on laparoscopic visualization-an invasive ...
Infertility is a global public health problem, which affects millions of people globally and has great social, psychological, and economic consequence...
Understanding how genetic variation contributes to organism-wide phenotypes is critical for identifying mechanisms of disease. Here, we present a comp...
To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps based on netwo...
Linagliptin, a DPP-4 inhibitor commonly used in the management of diabetes mellitus, has shown potential activity in polycystic ovary syndrome (PCOS)....
CONTEXT: Overcoming the disconnect between efficient Machine Learning (ML) techniques and its therapeutic applicability necessitates frameworks that p...
PURPOSE: Current embryo selection is limited by fragmented morphological assessments, high resource demands of image-based Artificial Intelligence, an...
OBJECTIVE: This scoping review aimed to map the evidence on how digital health technologies are used for pain management in endometriosis. METHODS: Th...
OBJECTIVE: Precision medicine applications depend on elucidating the underlying molecular mechanisms of disease. However, many disorders, such as endo...
BACKGROUND: Endometriosis profoundly impairs sexual function through complex interactions between pain, hormonal disturbances, psychological distress,...
The rising global burden of infertility continues to increase clinical reliance on assisted reproductive technology (ART), yet overall outcomes remain...
Polyethylene terephthalate microplastics (PET-MPs) function as endocrine-disrupting agents that interfere with steroidogenesis and folliculogenesis, p...
Male infertility remains an understudied yet significant contributor to global reproductive health challenges, with up to 50% of infertility cases inv...
Laparoscopy has revolutionised surgery, with faster recovery and less trauma for patients. However, extensive training is needed to gain the required ...
This study aimed -for the first time-to analyze the time-lapse morphokinetic parameters associated with the in vitro development of camel embryos prod...
BACKGROUND: The increasing demand for personalized healthcare solutions highlights the limitations of one-size-fits-all treatment strategies. Digital ...