In recent years, artificial intelligence(AI),a branch of computer science based on deep learning and machine learning, has advanced rapidly in the screening and clinical management of ophthalmic diseases. Its application scope has gradually expanded from the posterior segment to the anterior segment of the eye. Automated detection and interpretation frameworks incorporating multimodal imaging modalities, including slit-lamp photography and anterior and posterior segment optical coherence tomography(OCT), have demonstrated considerable potential in the identification, early diagnosis, and clinical decision support of common anterior segment diseases such as keratitis, dry eye disease, pterygium, and glaucoma. As a fundamental instrument for anterior segment examination, the slit-lamp microscope remains indispensable in routine ophthalmic practice. This review summarizes recent progress in AI-assisted anterior segment research and discusses the prospects of integrating AI with slit-lamp imaging in clinical ophthalmology.

Endosomal TLRs (TLR3/7/8/9) are highly analogous innate immunity sensors for various viral or bacterial RNA/DNA molecular patterns. Among them, TLR7, in particular, has been suggested to be a target for various inflammatory disorders and autoimmune diseases including systemic lupus erythematosus (SLE); but few small-molecule inhibitors with elaborated mechanism have been reported in literature. Here, we reported a well-characterized human TLR7-specific small-molecule inhibitor, TH-407b, with promising potency and negligible cytotoxicity through a novel binding mechanism. Notably, TH-407b not only effectively inhibited TLR7-mediated pro-inflammatory signaling in a variety of cultured cell lines but also demonstrated potent inflammation suppressing activities in primary peripheral blood mononuclear cells (PBMCs) derived from SLE patients. Furthermore, TH-407b showed prominent efficacy in vivo, improved survival rate and ameliorated symptoms of SLE model mice. To obtain molecular insights into the TH-407b derivatives' inhibition mechanism, we performed the structural analysis of TLR7/TH-407b complex using cryogenic electron microscopy (cryo-EM) method. As an atomistic resolution cryo-EM structure of the TLR family, it not only of value to facilitate structure-based drug design, but also shed light to methodology development of small proteins using EM. Significantly, TH-407b has unveiled an inhibition strategy for TLR7 via stabilizing its resting/inactivated state. Such a resting state could be generally applicable to all TLRs, rendering a useful method for targeting this group of important immunological receptors.

Objective To develop health supervision information system. Methods The operation needs for health supervision department are analyzed; the object-oriented method is used to build the structure based on C/S mode, the client software is programmed by Delphi languages and Oracle is adopted as the database for its server. Results The functions of the health supervision system are realized including permission, inspection, punishment, statistical analysis and instruments print and so on. Conclusion The information system can be fulfilled the business needs of the health supervision department and enhanced inspection efficiency.