Publications by authors named "Filip Thiessen Ef"
Introduction: Magnetic nanoparticles (MNPs), particularly iron oxide nanoparticles (IONPs), are renowned for their superparamagnetic behavior, allowing precise control under external magnetic fields. This characteristic makes them ideal for biomedical applications, including diagnostics and drug delivery. Superparamagnetic IONPs, which exhibit magnetization only in the presence of an external field, can be functionalized with ligands for targeted affinity diagnostics.
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- Vascularized Composite Allografts (VCA) face risks of acute rejection due to full histocompatibility mismatch, relying on different immunosuppression therapies and graft preservation quality.* -
- A systematic review analyzed 211 VCA cases, finding a combination of antithymocyte globulins, mycophenolate mofetil (MMF), tacrolimus, and steroids was most commonly used, with burn patients at a higher risk for acute rejection.* -
- The field of VCA lacks a standardized immunosuppression regimen, indicating a need for more data and comprehensive reporting to better understand the immune responses and optimize treatment strategies.*
Background: Thermography can be used in pre-operative planning of free perforator flap surgeries. Thermography assesses skin temperature by measuring the quantity of infrared radiation observed. In this meta-analysis, authors assess the sensitivity of smartphone-based thermal imaging (SBTI) in the detection of perforators and analyze the difference between static and dynamic imaging.
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- - Convolutional neural networks (CNNs) are advanced deep learning algorithms primarily used for visual recognition, showing accuracy in identifying melanomas that matches or exceeds that of dermatologists, even though only 23.8% of dermatologists have solid understanding of AI.
- - The study explores the use of CNNs in differentiating between benign and malignant lesions, highlighting their ability to perform preprocessing, segmentation, feature extraction, and classification in one efficient process.
- - It suggests the need for more research to enhance the clinical use of AI, develop extensive datasets, and produce explainable algorithms for better understanding and acceptance in the medical community.