AIMC Topic: Photosensitizing Agents
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Construction of artificial intelligence non-invasive diagnosis model for common glomerular diseases based on hyperspectral and urine analysis.
Photodiagnosis and photodynamic therapy
Aug 18, 2023
OBJECTIVE: To develop a non-invasive fluid biopsy assisted diagnosis model for glomerular diseases based on hyperspectral, so as to solve the problem of poor compliance of patients with invasive examination and improve the early diagnosis rate of glo...
Combining hyperspectral imaging techniques with deep learning to aid in early pathological diagnosis of melanoma.
Photodiagnosis and photodynamic therapy
Jul 22, 2023
BACKGROUND: Cutaneous melanoma, an exceedingly aggressive form of skin cancer, holds the top rank in both malignancy and mortality among skin cancers. In early stages, distinguishing malignant melanomas from benign pigmented nevi pathologically becom...
Efficient evaluation of photodynamic therapy on tumor based on deep learning.
Photodiagnosis and photodynamic therapy
Jun 18, 2023
Photodynamic therapy (PDT) is a non-invasive treatment method for treating tumors. Under laser irradiation, photosensitizers in tumor tissues generate biotoxic reactive oxygen, which can kill tumor cells. The traditional live/dead staining method of ...
Early screening of cervical cancer based on tissue Raman spectroscopy combined with deep learning algorithms.
Photodiagnosis and photodynamic therapy
Apr 13, 2023
Cervical cancer is the most common reproductive malignancy in the female reproductive system. The incidence rate and mortality rate of cervical cancer among women in China are high. In this study, Raman spectroscopy was used to collect tissue sample ...
Prediction of the response to photodynamic therapy in patients with chronic central serous chorioretinopathy based on optical coherence tomography using deep learning.
Photodiagnosis and photodynamic therapy
Sep 5, 2022
PURPOSE: To assess the prediction of the response to photodynamic therapy (PDT) in chronic central serous chorioretinopathy (CSCR) based on spectral-domain optical coherence tomography (SD-OCT) images using deep learning (DL).
Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network.
Photodiagnosis and photodynamic therapy
Aug 1, 2021
BACKGROUND: The recent emergence of a highly infectious and contagious respiratory viral disease known as COVID-19 has vastly impacted human lives and overloaded the health care system. Therefore, it is crucial to develop a fast and accurate diagnost...
Fourier transform infrared spectroscopy combined with deep learning and data enhancement for quick diagnosis of abnormal thyroid function.
Photodiagnosis and photodynamic therapy
Oct 15, 2020
BACKGROUND: To evaluate the Fourier transform infrared spectroscopy (FT-IR) combined with deep learning models to allow for quick diagnosis of abnormal thyroid function.
Graphene quantum dots as singlet oxygen producer or radical quencher - The matter of functionalization with urea/thiourea.
Materials science & engineering. C, Materials for biological applications
Dec 12, 2019
Due to their low cost and possible green synthesis, high stability and resistance to photobleaching, graphene quantum dots (GQDs) can be considered as one of the class of carbon nanomaterials which may have great potential as an agent for photosensit...
Reduced methicillin-resistant Staphylococcus aureus biofilm formation in bone cavities by photodynamic therapy.
Photodiagnosis and photodynamic therapy
Dec 20, 2017
UNLABELLED: Photodynamic Therapy (PDT) is a promising alternative for the treatment of infectious bone lesions in the oral cavity. The objective of this study was to evaluate the antimicrobial effectiveness of PDT using blue LED associated with curcu...
Machine learning-guided fabrication of carbon dot-pepsin nano-conjugates for enhanced bioimaging, synergistic drug delivery, and visible light-induced photosensitization.
Nanoscale
Jun 12, 2025
Carbon dots (CDs) are emerging as next-generation bioimaging agents due to their strong fluorescence, photobleaching resistance, and biocompatibility. However, their small size often limits efficient cell internalization, leading to unspecified cellu...
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