This special issue (SI) entitled 'Smart and intelligent optical materials for sensing applications', published by Luminescence, Wiley focuses on the recent advancement of smart and intelligent optical materials for the fabrication of sensor technology for use in numerous fields such as pharmaceutical, biomedical, and environmental. Also, detailed highlights of their prospects in the fields, for example, of personalized health care, wearable devices, and plant stress monitoring are given. This SI includes 46 peer-reviewed articles, of which 15 are reviews written by well established researchers with expertise in the field, and the remaining 31 are research articles from world-leading scientists.
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| http://dx.doi.org/10.1002/bio.4546 | DOI Listing |
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Multi-class Classification of Retinal Eye Diseases from Ophthalmoscopy Images Using Transfer Learning-Based Vision Transformers.
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January 2025
College of Engineering, Department of Computer Engineering, Koç University, Rumelifeneri Yolu, 34450, Sarıyer, Istanbul, Turkey.
This study explores a transfer learning approach with vision transformers (ViTs) and convolutional neural networks (CNNs) for classifying retinal diseases, specifically diabetic retinopathy, glaucoma, and cataracts, from ophthalmoscopy images. Using a balanced subset of 4217 images and ophthalmology-specific pretrained ViT backbones, this method demonstrates significant improvements in classification accuracy, offering potential for broader applications in medical imaging. Glaucoma, diabetic retinopathy, and cataracts are common eye diseases that can cause vision loss if not treated.
View Article and Find Full Text PDFMultimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses.
NPJ Digit Med
January 2025
Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
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).
View Article and Find Full Text PDFMulti scale multi attention network for blood vessel segmentation in fundus images.
Sci Rep
January 2025
Department of Data Science and Artificial Intelligence, Sunway University, 47500, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treatment of vision-threatening ailments. However, this task is challenging due to limited contextual information, variations in vessel thicknesses, the complexity of vessel structures, and the potential for confusion with lesions. In this paper, we introduce a novel approach, the MSMA Net model, which overcomes these challenges by replacing traditional convolution blocks and skip connections with an improved multi-scale squeeze and excitation block (MSSE Block) and Bottleneck residual paths (B-Res paths) with spatial attention blocks (SAB).
View Article and Find Full Text PDFBoric acid-substituted phthalocyanine/ciprofloxacin co-assembled nanoparticles for constructing bacteria-responsive intelligent wound dressings with synergistic therapy and recognition of bacterial infections.
Int J Biol Macromol
January 2025
Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, Ministry of Education, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China; Department of Rehabilitation Medicine, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital, Qingdao, Shandong 266000, China. Electronic address:
In contemporary times, the waning effectiveness of antibiotics against bacterial infections is progressively giving rise to significant concerns in public health. Although photodynamic technology possesses a potent ability to deactivate bacteria, its non-selective attack on normal cells poses potential side effects. Hence, in this study, a boric acid-substituted phthalocyanine photosensitizer (BAPc) was synthesized, exhibiting remarkable bacterial targeting capability.
View Article and Find Full Text PDFPredicting phage-host interaction via hyperbolic Poincaré graph embedding and large-scale protein language technique.
iScience
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Key Laboratory of Resources Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology of Shaanxi Province, the College of Life Sciences, Northwest University, Xi'an 710069, China.
Bacteriophages (phages) are increasingly viewed as a promising alternative for the treatment of antibiotic-resistant bacterial infections. However, the diversity of host ranges complicates the identification of target phages. Existing computational tools often fail to accurately identify phages across different bacterial species.
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