Unraveling the role of neuregulin-mediated astrocytes-OPCs axis in the pathogenesis of age-related macular degeneration and Parkinson’s disease by Shuyan Zhang, Cheng Zhang, Yinjian Zhang, Yibin Feng

“…We employed a comprehensive approach by integrating single-cell RNA sequencing (scRNA-seq) datasets, obtained from dry AMD retinas and PD brain tissues, along with Weighted Gene Co-expression Network Analysis (WGCNA)-related computational analysis. Gene Set Enrichment Analysis (GSEA) was conducted to analyze PD-related genes within retinal ganglion cells in dry AMD. …”
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Driving forces behind the development of the "Integrated Control and Prevention of Three Highs and Six Diseases" strategy for chronic disease management in Shandong province: a mul... by Wenyu FAN, Yu ZHANG, Haipeng WANG, Cong QI, Gaohui ZHANG, Liangxia CHEN, Xiaopang RAO, Yang ZHAO

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Practice and effects of the "Integrated Control and Prevention of Three Highs and Six Diseases" strategy of chronic disease management in Chengyang district, Qingdao city: prelimin... by Haipeng WANG, Wenyu FAN, Xiaopang RAO, Yu ZHANG, Xinguo HOU, Liangxia CHEN, Gaohui ZHANG

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Predicting visual field global and local parameters from OCT measurements using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis

“…Abstract Glaucoma is characterised by progressive vision loss due to retinal ganglion cell deterioration, leading to gradual visual field (VF) impairment. …”
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A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis by Jie Xu, Erkang Jing, Yidong Chai

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Photodiagnosis with deep learning: A GAN and autoencoder-based approach for diabetic retinopathy detection by Kerem GENCER, Gülcan GENCER, Tuğçe Horozoğlu CERAN, Aynur ER BİLİR, Mustafa DOĞAN

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The ability to assess the state of the fundus in patients with lens opacities of varying intensity, including patients with type 2 diabetes mellitus, using quantitative analysis of... by L. A. Mineeva, L. I. Balashevich, A. A. Kozhukhov, L. B. Shubin, A. V. Kabanov, C. Passaglia, D. Richards, B. Madow

“…Images of the fundus were taken with a Topcon Mark II TRC retinal camera NW7SF Type IA. Image Resolution was 8 TIFF. …”
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Semantic analysis of social media messages of patients with neovascular age-related macular degeneration and diabetic macular edema by open Internet sources — a study of patients'... by V. V. Neroev, O. V. Zaytseva, A. Yu. Berdieva, Z. M. Gabdullina, M. N. Pudikov, A. A. Leonova, V. F. Khoroshevsky

“…The semantic analysis of texts dealt with the whole meaning rather than individual keywords. …”
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Application of advanced diffusion MRI based tractometry of the visual pathway in glaucoma: a systematic review by Loxlan W. Kasa, Loxlan W. Kasa, Loxlan W. Kasa, Stephanie Donovan, Eryn Kwon, Eryn Kwon, Samantha Holdsworth, Samantha Holdsworth, William Schierding, William Schierding, William Schierding, Helen Danesh-Meyer, Helen Danesh-Meyer, Helen Danesh-Meyer, Helen Danesh-Meyer

“…The studies based on patient cohorts affected by primary open-angle glaucoma (POAG), primary angle closure glaucoma (PACG), and normal tension glaucoma (NTG) with the following dMRI techniques and tract-specific analysis approach were included in this review: diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI), fixel-based analysis (FBA), and dMRI tractometry.ResultsThe selected seven studies incorporate tractometry and advanced diffusion models and techniques (DKI, NODDI and FBA), including DTI. …”
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GLAAM and GLAAI: Pioneering attention models for robust automated cataract detection by Deepak Kumar, Chaman Verma, Zoltán Illés

“…Methods:: Two deep learning models, Global–Local Attention Augmented MobileNet (GLAAM) and Global–Local Attention Augmented InceptionV3 (GLAAI), were developed to enhance the analysis of fundus images. The models incorporate a combined attention mechanism to effectively capture deteriorated regions in retinal images. …”
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Grid-based analysis of three-dimensional choroidal Sattler’s and Haller’s layer vascularity volume index and its relation to age and axial length in adults by ultra-widefield swept... by Yuyao Qu, Jixian Ma, Rong Di, Yue Bian, Yuchen Li, Hanze Zhang, Yazhou Qin, Qiuping Liu, Jianqin Lei, Jingming Li

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Short-term outcomes of faricimab and aflibercept 8 mg in diabetic macular edema by Carlo Maccauro, Yanny Jimenez Perez, Piergiorgio Neri, Ibraheem El Ghrably, Haytham I Salti, Francesco Pichi

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Pushpeeyam Adhyaya of Bhela Indriya Sthana: An Explorative Study by Kshama Gupta, Prasad Mamidi

“….), Charles Bonnet syndrome, Anton-Babinski syndrome, retinal and vitreous detachments, end-of-life dreams and visions, hypnagogic visual hallucinations with sleep bruxism, temporal lobe epilepsy, occipital lobe seizures, pilomotor seizures, and psychiatric or neuropsychiatric conditions are documented in “Pushpeeyam adhyaya.” …”
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Efficacy of aflibercept in patients with neovascular age-related macular degeneration when combined with cataract surgery by A. A. Kuznetsov, E. V. Tur, A. V. Zurochka, V. S. Rykun

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Trends and influencing factors of high blood pressure/glucose/lipids control among community patients under the "Integrated Control and Prevention of Three Highs and Six Diseases"... by Wenyu FAN, Shilong ZHANG, Haipeng WANG, Xingli MA, Gaohui ZHANG, Liangxia CHEN, Cong QI, Xueying DU, Yang ZHAO

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Ophthalmic Bioengineering. Review by V. O. Ponomarev, A. E. Zhdanov, P. V. Luzhnov, I. D. Davydova, E. N. Iomdina, A. V. Lizunov, A. Yu. Dolganov, S. A. Ivliev, M. A. Znamenskaya, V. N. Kazajkin, V. I. Borisov, E. O. Filatova

“…The article presents reports on: metrological aspects of registration of tonometric and electrophysiological signals in ophthalmic diagnostics; approaches to modeling the processes of pulse blood filling of the eye with the determination of hemodynamic parameters; retinotoxicity based on electrophysiological signals; analysis of electrophysiological signals in the frequency-time domain and its application in clinical practice; extraction and analysis of specialized data obtained from the electrophysiological medical device; as well as diagnosing retinal diseases based on optical coherence tomography using machine learning.…”
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Relationships between structural changes, marker of apoptosis and metabolic parameters in the retina of rats with diabetes and myopia by I.M. Mikheytseva, А. Ahmed, S.G. Kolomiichuk, O. V. Artemov

“…Statistical analysis was used to examine the relationships between retinal structural and metabolic changes. …”
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Digital fundus image quality assessment by V. V. Starovoitov, Y. I. Golub, M. M. Lukashevich

“…It is solved in the first block of any automated retinal image analysis system. The quality assessment procedure is carried out in several stages. …”
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Amygdala Neurodegeneration: A Key Driver of Visual Dysfunction in Parkinson's Disease by Asier Erramuzpe, Ane Murueta‐Goyena, Antonio Jimenez‐Marin, Marian Acera, Sara Teijeira‐Portas, Rocío Del Pino, Tamara Fernández‐Valle, Ibai Diez, Unai Sainz‐Lugarezaresti, Naroa Ibarretxe‐Bilbao, Unai Ayala, Maitane Barrenechea, Alberto Cabrera‐Zubizarreta, Jesús Cortés, Juan Carlos Gómez‐Esteban, Iñigo Gabilondo

“…Functional connectivity of the visualROI with brain networks was analyzed. Covariance analysis of brain regions associated with retinal thinning (retinalROI) was conducted using hierarchical clustering to develop a model of retinal and brain neurodegeneration linked to disease progression. …”
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The influence of corneal biomechanical factors on surgically induced corneal astigmatism by Yufan Yin, Yaning Li, Guihua Liu, Jiarui Su, Jiahui Lu, Yuanfeng Jiang, Xiteng Chen, Fang Tian, Bei Du, Shaochong Bu

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