Single-cell RNA sequencing reveals the intercellular crosstalk and the regulatory landscape of stromal cells during the whole life of the mouse ovary.

The heterogeneity of ovarian mesenchymal/stromal cells has just been revealed in both mice and humans. However, it remains unclear about the cellular development trace and the intercellular communication network in the whole life of the ovary. In the study, we integrated ours and published single-cell RNA sequencing data from E11.

Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses.

Chatbot-based multimodal AI holds promise for collecting medical histories and diagnosing ophthalmic diseases using textual and imaging data. This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) to enable patient self-diagnosis and self-triage. IOMIDS included a text model and three multimodal models (text + slit-lamp, text + smartphone, text + slit-lamp + smartphone).

Effectiveness of oregano essential oil vapor on shelf life extension of kai lan (Brassica oleracea var. alboglabra).

This study compared the antimicrobial activity of several essential oils (EOs) vapor against food spoilage microbiota and further investigated the potential of EO vapor in extending the shelf life of leafy green vegetables. Oregano EO vapor showed stronger antimicrobial activities than basil and clove EO vapors against common spoilage-causing microorganisms in fresh produce, including Pantoea agglomerans, Pseudomonas cichorii, Pectobacterium carotovorum, Pantoea ananatis, Pseudomonas marginalis, Alterneria bassicicola, and Botrytis cinerea. When oregano EO vapor was applied to leafy greens, phytotoxic effects were observed on butter lettuce and iceberg lettuce but not on kai lan and kale.

Digital twin assisted surgery, concept, opportunities, and challenges.

Computer-assisted surgery is becoming essential in modern medicine to accurately plan, guide, and perform surgeries. Similarly, Digital Twin technology is expected to be instrumental in the future of surgery, owing to its capacity to virtually replicate patient-specific interventions whilst providing real-time updates to clinicians. This perspective introduces the term Digital Twin-Assisted Surgery and discusses its potential to improve surgical precision and outcome, along with key challenges for successful clinical translation.

Construction of a Simplified Bone Age Assessment Model in Chinese Children Aged 3-18 Years.

Context: Bone age assessment (BAA) is critical for pediatric endocrinology. Traditional methods are complex and time-consuming, and current computer-aided systems have made progress but still lacking in robustness.

Objective: Develop simplified BAA methods to aid pediatricians in quick clinical assessments.