Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Sperm DNA fragmentation is a recognized factor in male infertility with direct implications for embryo development, implantation and pregnancy outcomes. Historically, standard semen analysis has not included assessments of DNA integrity, creating a clear need for advanced diagnostic tools. DNA damage can arise through pathways such as apoptosis, oxidative stress and exposure to environmental toxin...
Cervical cancer ranks as the fourth most prevalent cancer among women worldwide. The increasing incidence and mortality rates are largely attributed t...
Cervical radiculopathy is one of the common degenerative disorders encountered in spinal surgery. With the continuous advancement of surgical instrume...
It is well-known that drug development is challenging and a time- and resource-intensive endeavor. Historically, it has relied heavily on trial-and-er...
Microbial communities are integral to human health, biotechnology, and environmental systems, yet their analysis is hindered by data heterogeneity and...
Research on graduate employment had traditionally emphasized talent cultivation while insufficiently addressing labor market dynamics, which generated...
Traumatic brain injury (TBI) is a leading cause of long-term neurological deficits, often resulting in complex, unresolved molecular and cellular dysf...
Conventional tumor chemotherapy faces limitations including drug resistance, high toxicity, non-selectivity, and side effects. Nano-drug delivery syst...
Cervical cancer ranks as the fourth most prevalent cancer among women worldwide. Early diagnosis facilitates timely intervention and treatment. Tradit...
Histological analysis is central to biomedical research and diagnostic pathology, yet conventional two-dimensional (2D) sectioning captures only limit...
Study DesignSystematic review and meta-analysis.ObjectiveDirect head-to-head comparison of machine learning models aiming to predict outcomes in Anter...
BACKGROUND: Multi-label medical image classification is challenging due to complex inter-label dependencies, data imbalance, and the need to integrate...
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, with systemic therapies offering only limited benefit. S...
The aim of this paper was to construct a stable drug delivery mechanism of Narcissin, which is phytoconstituent of Aerva lanata that has Reverse Trans...
Perinatal period is a critical time for brain development and premature-born children have an elevated likelihood for neurodevelopmental conditions. W...
The optimisation of drug delivery systems is a complex, multidimensional challenge involving the interplay of formulation composition, process paramet...
STUDY OBJECTIVE: To develop and validate a machine-learning (ML) model using preoperative clinical and imaging variables including ultrasound and diag...