From pets to people: canine eyedrop study offers insights for human eye care
Peer-Reviewed Publication
Updates every hour. Last Updated: 13-Aug-2025 15:11 ET (13-Aug-2025 19:11 GMT/UTC)
A promising new discovery from the Hebrew University of Jerusalem reveals that cross-linked hyaluronic acid (XHA) significantly enhances the retention and concentration of topical antibiotics in the tear film of dogs. Compared to traditional formulations using polyvinyl alcohol (PVA), the XHA-based eyedrops maintained higher drug levels for longer durations. This innovation not only suggests improved treatment outcomes for veterinary patients – it also carries meaningful implications for human medicine.
A recent study showcases the power of CRISPR gene editing to significantly boost the production of resveratrol, a plant-derived compound with numerous health benefits.
The research team led by Dr. Hyunwoo Kim and Dr. Myungae Bae at the Korea Research Institute of Chemical Technology (KRICT) has developed the nano-probe-based quantitative stiffness measurement technique for a non-alcoholic fatty liver disease (NAFLD) simulate artificial organoid model while minimizing tissue damage.
This article examines the ethical implications of telemedicine in sexual medicine, focusing on privacy, informed consent, and healthcare equity. Despite its benefits in improving accessibility, telemedicine raises concerns about data security, potential diagnostic limitations, and exacerbating healthcare disparities, particularly in sensitive areas like urology. The authors analyze these challenges through a systematic literature review, emphasizing the need for robust ethical frameworks to guide telemedicine integration as a complement to traditional care. They stress maintaining patient-centered practices, ensuring equitable access, and upholding confidentiality to preserve trust and quality outcomes in sexual health services.
This narrative review centers on integrating artificial intelligence (AI) into surgical sperm retrieval techniques for nonobstructive azoospermia (NOA). It details conventional surgical sperm retrieval (SSR) procedures and their varying success rates. AI has diverse applications in reproductive medicine, such as predictive models and sperm image recognition. It improves sperm detection in azoospermic samples, yet faces challenges like specimen variability and ethical concerns. Future AI advancements may enhance SSR precision and transform male infertility treatment.