AIMC Topic: Photochemotherapy

Clear Filters Showing 21 to 24 of 24 articles

Postoperative photodynamic therapy as a new adjuvant treatment after robot-assisted salvage surgery of recurrent squamous cell carcinoma of the base of tongue.

World journal of surgical oncology Jul 16, 2015
BACKGROUND: For patients who remain with involved resection margins after transoral robot-assisted salvage surgery (TORS) for recurrent squamous cell carcinoma (SCC) at the base of tongue (BOT) following primary (chemo)radiotherapy, further adjuvant ...
Chemotherapy, Adjuvant Robotics Neoplasm Staging Postoperative Period Antineoplastic Combined Chemotherapy Protocols Carcinoma, Squamous Cell Photochemotherapy Middle Aged Salvage Therapy Male Tongue Neoplasms Neoplasm Recurrence, Local Prognosis Humans Female
View on PubMed DOI

Advances in photoactivated carbon-based nanostructured materials for targeted cancer therapy.

Advanced drug delivery reviews Jul 1, 2025
In this review, we explore key innovations in photoactivated therapeutic programming of carbon-based nanomaterials (CBNs), focusing on their diverse nanostructural configurations and their exceptional photothermal, photochemical, and photoacoustic pr...
Phototherapy Photochemotherapy Nanostructures Animals Carbon Neoplasms Humans
View on PubMed DOI

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...
Photosensitizing Agents Photochemotherapy Light Machine Learning Quantum Dots Doxorubicin Nanoparticles Reactive Oxygen Species Humans THP-1 Cells Drug Delivery Systems Carbon Drug Carriers
View on PubMed DOI

Predicting response to anti-VEGF therapy in neovascular age-related macular degeneration using random forest and SHAP algorithms.

Photodiagnosis and photodynamic therapy Jun 1, 2025
PURPOSE: This study aimed to establish and validate a prediction model based on machine learning methods and SHAP algorithm to predict response to anti-vascular endothelial growth factor (VEGF) therapy in neovascular age-related macular degeneration ...
Algorithms Retrospective Studies Machine Learning Humans Random Forest Vascular Endothelial Growth Factor A Tomography, Optical Coherence Wet Macular Degeneration Choroidal Neovascularization Photochemotherapy Macular Degeneration Male Angiogenesis Inhibitors Middle Aged Aged Female Aged, 80 and over
View on PubMed DOI
Popular Topics
Recent Journals