AIMC Topic: Skin
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Optimizing deep learning-based segmentation of densely packed cells using cell surface markers.
BMC medical informatics and decision making
May 15, 2024
BACKGROUND: Spatial molecular profiling depends on accurate cell segmentation. Identification and quantitation of individual cells in dense tissues, e.g. highly inflamed tissue caused by viral infection or immune reaction, remains a challenge.
Discovery of biomarkers in the psoriasis through machine learning and dynamic immune infiltration in three types of skin lesions.
Frontiers in immunology
May 13, 2024
INTRODUCTION: Psoriasis is a chronic skin disease characterized by unique scaling plaques. However, during the acute phase, psoriatic lesions exhibit eczematous changes, making them difficult to distinguish from atopic dermatitis, which poses challen...
A dosiomics model for prediction of radiation-induced acute skin toxicity in breast cancer patients: machine learning-based study for a closed bore linac.
European journal of medical research
May 12, 2024
BACKGROUND: Radiation induced acute skin toxicity (AST) is considered as a common side effect of breast radiation therapy. The goal of this study was to design dosiomics-based machine learning (ML) models for prediction of AST, to enable creating opt...
Screening mitochondria-related biomarkers in skin and plasma of atopic dermatitis patients by bioinformatics analysis and machine learning.
Frontiers in immunology
May 7, 2024
BACKGROUND: There is a significant imbalance of mitochondrial activity and oxidative stress (OS) status in patients with atopic dermatitis (AD). This study aims to screen skin and peripheral mitochondria-related biomarkers, providing insights into th...
Development and comparison of machine learning models for in-vitro drug permeation prediction from microneedle patch.
European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
May 6, 2024
The field of machine learning (ML) is advancing to a larger extent and finding its applications across numerous fields. ML has the potential to optimize the development process of microneedle patch by predicting the drug release pattern prior to its ...
Flexible Conformally Bioadhesive MXene Hydrogel Electronics for Machine Learning-Facilitated Human-Interactive Sensing.
Advanced materials (Deerfield Beach, Fla.)
Apr 30, 2024
Wearable epidermic electronics assembled from conductive hydrogels are attracting various research attention for their seamless integration with human body for conformally real-time health monitoring, clinical diagnostics and medical treatment, and h...
A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection.
Scientific reports
Apr 23, 2024
Skin cancer is the most prevalent kind of cancer in people. It is estimated that more than 1 million people get skin cancer every year in the world. The effectiveness of the disease's therapy is significantly impacted by early identification of this ...
Deep learning automatically assesses 2-µm laser-induced skin damage OCT images.
Lasers in medical science
Apr 18, 2024
The present study proposed a noninvasive, automated, in vivo assessment method based on optical coherence tomography (OCT) and deep learning techniques to qualitatively and quantitatively analyze the biological effects of 2-µm laser-induced skin dama...
Optimizing time prediction and error classification in early melanoma detection using a hybrid RCNN-LSTM model.
Microscopy research and technique
Mar 22, 2024
Skin cancer is a terrifying disorder that affects all individuals. Due to the significant increase in the rate of melanoma skin cancer, early detection of skin cancer is now more critical than ever before. Malignant melanoma is one of the most seriou...
Enhanced skin burn assessment through transfer learning: a novel framework for human tissue analysis.
Journal of medical engineering & technology
Mar 22, 2024
Visual inspection is the typical way for evaluating burns, due to the rising occurrence of burns globally, visual inspection may not be sufficient to detect skin burns because the severity of burns can vary and some burns may not be immediately appar...
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