Research trends and hotspots of the applications of single-cell RNA sequencing in cardiovascular diseases: a bibliometric and visualized study.

Background: Cardiovascular diseases (CVDs) are the leading causes of death globally. The use of single-cell RNA sequencing (scRNA-seq) in CVDs has gained significant attention in recent years, and there is a growing body of literature on the subject. However, a thorough and impartial analysis of the existing state and trends of scRNA-seq in CVDs is lacking.

Mechanochromic Organic Micro-Laser.

This work presents the first demonstration of a mechanochromic organic micro-laser, which exhibits remarkable wide range pressure sensing characteristics. The gain material, pinacolato boronate ester functionalized anthanthrene (AnBPin), is designed by incorporating mechanofluorochromic (MFC) properties into organic laser dye. The AnBPin exhibits a reversible transition between green and orange fluorescence upon grinding annealing and recrystallization cycle, and its micro-crystal exhibits typical organic micro-laser behaviors.

Correlation between blepharospasm and psychological diseases: the anxiety, depression and sleep disorder study.

Aim: To investigate the relationship between benign essential blepharospasm (BEB) symptoms and depression/anxiety/sleep disorder in a prospective manner and to determine whether treatment the BEB with botulinum toxin type A (BoNT/A) can impact psychological symptoms.

Methods: This prospective interventional case series recruited 61 adults with evidence of BEB. Patients were administered the Jankovic Rating Scale (JRS), the Blepharospasm Disability Index (BSDI), Personal Health Questionnaire Depression Scale (PHQ-8), Generalized Anxiety Disorder 7-item scale (GAD-7) and the Athens insomnia scale (AIS) to evaluate the severity of BEB symptoms, depression, anxiety and sleep disorder before and 1wk, 1, 3mo after the BoNTA treatment.

PtosisDiffusion: a training-free workflow for precisely predicting post-operative appearance in blepharoptosis patients based on diffusion models.

Purpose: This study aims to develop a diffusion-based workflow to precisely predict postoperative appearance in blepharoptosis patients.

Methods: We developed PtosisDiffusion, a training-free workflow that combines face mesh with ControlNet for accurate post-operative predictions, and evaluated it using 39 preoperative photos from blepharoptosis patients. The performance of PtosisDiffusion was compared against three other diffusion-based methods: Conditional Diffusion, Repaint, and Dragon Diffusion.

Assessment of Large Language Models in Cataract Care Information Provision: A Quantitative Comparison.

Introduction: Cataracts are a significant cause of blindness. While individuals frequently turn to the Internet for medical advice, distinguishing reliable information can be challenging. Large language models (LLMs) have attracted attention for generating accurate, human-like responses that may be used for medical consultation.

6-Shogaol Derived from Ginger Inhibits Intestinal Crypt Stem Cell Differentiation and Contributes to Irritable Bowel Syndrome Risk.

Dietary factors play a crucial role in irritable bowel syndrome (IBS) pathogenesis. Therefore, the dietary contraindications for patients with IBS require further supplementation. Recent investigations have revealed that ginger consumption may pose a risk of aggravating the symptoms and incidence of IBS; however, the specific mechanism remains unknown.

Multidimensional quantitative characterization of periocular morphology: distinguishing esotropia from epicanthus by deep learning network.

Background: Prominent epicanthus could not only diminish the eyes' aesthetics but may be deceptive for its typical appearance of pseudo-esotropia. This study aims to apply a deep learning model to characterize the periocular morphology for preliminary identification.

Methods: This prospective study consecutively included 300 subjects visiting the ophthalmology department in a tertiary referral hospital.

Role of B cells in intratumoral MBTA immunotherapy of murine pheochromocytoma model.

Immunotherapy represents a revolutionary advancement in cancer treatment, which has traditionally focused on T cells; however, the role of B cells in cancer immunotherapy has gained interest because of their role in antigen presentation, antibody production, and cytokine release. In this study, we examined the role of B cells in previously developed intratumoral MBTA therapy (mannan-BAM, TLR ligands, and anti-CD40 antibody) in murine models of MTT pheochromocytoma. The results indicated that B cells significantly enhance the success of MBTA therapy, with wild-type mice exhibiting a lower tumor incidence and smaller tumors compared with B cell-deficient mice.

Towards automated animal density estimation with acoustic spatial capture-recapture.

Passive acoustic monitoring can be an effective way of monitoring wildlife populations that are acoustically active but difficult to survey visually, but identifying target species calls in recordings is non-trivial. Machine learning (ML) techniques can do detection quickly but may miss calls and produce false positives, i.e.

Analysis of chloroplast genome structure and phylogeny of the traditional medicinal of Ardisia crispa (Myrsinaceae).

Ardisia crispa(Myrsinaceae) is an ethnomedicine with horticultural and important medicinal values. Its morphology is complex, and its identification is difficult. We analyse the chloroplast genome characteristics and phylogenetic position of A.

Global research of artificial intelligence in eyelid diseases: A bibliometric analysis.

Purpose: To generate an overview of global research on artificial intelligence (AI) in eyelid diseases using a bibliometric approach.

Methods: All publications related to AI in eyelid diseases from 1900 to 2023 were retrieved from the Web of Science (WoS) Core Collection database. After manual screening, 98 publications published between 2000 and 2023 were finally included.

Recurrence in Eyelid Sebaceous Carcinoma: A Multicentric Study of 418 Patients.

Purpose: Local recurrence predicts dismal prognosis in eyelid sebaceous carcinoma (SC). Recurrence predictors vary across studies. Accurate recurrence estimation is essential for individualized therapy in eyelid SC.

Tuning zinc content in wollastonite bioceramic endowing outstanding angiogenic and antibacterial functions beneficial for orbital reconstruction.

Prosthetic eye is indispensable as filler after enucleation in patients with anophthalmia, whereas there are still many complications including postoperative infection and eye socket depression or extrusion during the conventional artificial eye material applications. Some Ca-silicate biomaterials showed superior bioactivity but their biological stability limit the biomedical application as long-term or permanent implants. Herein we aimed to understand the physicochemical and potential biological responses of zinc doping in wollastonite bioceramic used for orbital implants.

Integrative genomic analysis reveals cancer-associated mutations in patients with ophthalmic tumors.

Objective: Apart from the role of the retinoblastoma gene, the genomic events associated with poor outcomes in patients with ophthalmic tumors are poorly understood.

Methods: We retrospectively analyzed 48 patients with six types of ophthalmic tumors. We searched for high-frequency mutated genes and susceptibility genes in these patients using combined exome and transcriptome analysis.

Automated interpretation of retinal vein occlusion based on fundus fluorescein angiography images using deep learning: A retrospective, multi-center study.

Purpose: Fundus fluorescein angiography (FFA) is the gold standard for retinal vein occlusion (RVO) diagnosis. This study aims to develop a deep learning-based system to diagnose and classify RVO using FFA images, addressing the challenges of time-consuming and variable interpretations by ophthalmologists.

Methods: 4028 FFA images of 467 eyes from 463 patients were collected and annotated.

Erratum to 'B4GALNT1 promotes hepatocellular carcinoma stemness and progression via integrin α2β1-mediated FAK and AKT activation' (JHEP Reports 5 [2023] 100903).

[This corrects the article DOI: 10.1016/j.jhepr.

System-wide identification of novel de-ubiquitination targets for USP10 in gastric cancer metastasis through multi-omics screening.

Objective: Ubiquitin-specific peptidase 10 (USP10), a typical de-ubiquitinase, has been found to play a double-edged role in human cancers. Previously, we reported that the expression of USP10 was negatively correlated with the depth of gastric wall invasion, lymph node metastasis, and prognosis in gastric cancer (GC) patients. However, it remains unclear whether USP10 can regulate the metastasis of GC cells through its de-ubiquitination function.

Molten Alkali-Assisted Formation of Silicate Gels and Its Application for Preparing Zeolites.

Fly ash was used as raw material to prepare zeolites through silicate gels, assisted by the hydrothermal method. The silicate gels could be effectively formed in a few minutes in a molten alkali environment. The zeolites could be prepared by using these silicate gels through the hydrothermal method, which realizes the transformation from useless materials to highly valuable materials.

Retina Fundus Photograph-Based Artificial Intelligence Algorithms in Medicine: A Systematic Review.

We conducted a systematic review of research in artificial intelligence (AI) for retinal fundus photographic images. We highlighted the use of various AI algorithms, including deep learning (DL) models, for application in ophthalmic and non-ophthalmic (i.e.

Automatic Measurement and Comparison of Normal Eyelid Contour by Age and Gender Using Image-Based Deep Learning.

Purpose: This study aimed to propose a fully automatic eyelid measurement system and compare the contours of both the upper and lower eyelids of normal individuals according to age and gender.

Design: Prospective study.

Participants: Five hundred and forty healthy Chinese aged 0 to 79 years in a tertiary hospital were included.

An AS-OCT image dataset for deep learning-enabled segmentation and 3D reconstruction for keratitis.

Infectious keratitis is among the major causes of global blindness. Anterior segment optical coherence tomography (AS-OCT) images allow the characterizing of cross-sectional structures in the cornea with keratitis thus revealing the severity of inflammation, and can also provide 360-degree information on anterior chambers. The development of image analysis methods for such cases, particularly deep learning methods, requires a large number of annotated images, but to date, there is no such open-access AS-OCT image repository.