AIMC Topic: Skin

Clear Filters Showing 11 to 20 of 417 articles

The gut‑skin axis: Emerging insights in understanding and treating skin diseases through gut microbiome modulation (Review).

International journal of molecular medicine
 Emerging evidence indicates a significant association between the composition and functionality of the gut microbiome and various skin disorders, including psoriasis, atopic dermatitis, acne and several dermatological conditions. The gut‑skin axis t...

Diffusion-based skin disease data augmentation with fine-grained detail preservation and interpolation for data diversity.

PloS one
We propose a data augmentation technique utilizing a Diffusion-based generative deep learning model to address the issue of data scarcity in skin disease diagnosis research. Specifically, we enhanced the Stable Diffusion model, a Latent Diffusion Mod...

An advanced skin lesion segmentation and classification framework using deep learning strategies.

Scientific reports
Skin cancer is a deadly kind of cancer that grows rapidly and produces life-threatening issues within six weeks from the initial stage. Accurate analysis is needed for observing both the malignant and benign skin lesions that are more complicated to ...

Attention-Enhanced CNNs and transformers for accurate monkeypox and skin disease detection.

Scientific reports
Monkeypox has arisen as a global health issue, requiring prompt and precise diagnosis for optimal management. Conventional diagnostic techniques, including PCR, are dependable yet frequently unattainable in resource-constrained environments. Deep lea...

Strain-Insensitive, Crosstalk-Suppressed, Ultrawide-Linearity Iontronic Tactile Skin from a Synergistic Segment-Embedded Strategy.

ACS sensors
Tactile sensing arrays play a crucial role in human-machine interaction, robotics, and artificial intelligence by enabling the perception of physical stimuli on robotic surfaces or human skin. However, skin-attachable sensor arrays still suffer from ...

Modeling skin sensitization: hierarchical support vector regression-based prediction of lysine depletion in DPRA.

Chemico-biological interactions
Skin sensitization is a critical endpoint in toxicology, especially in the context of drug discovery and development process for topical and transdermal treatments. Accurate evaluation of skin sensitization potential is essential to ensure the safety...

DERMA-OCTA: A Comprehensive Dataset and Preprocessing Pipeline for Dermatological OCTA Vessel Segmentation.

Scientific data
Optical coherence tomography angiography (OCTA) has emerged as a promising tool for non-invasive vascular imaging in dermatology. However, the field lacks standardized methods for processing and analyzing these complex images, as well as sufficient a...

Chronological age estimation from human microbiomes with transformer-based Robust Principal Component Analysis.

Communications biology
Deep learning for microbiome analysis has shown potential for understanding microbial communities and human phenotypes. Here, we propose an approach, Transformer-based Robust Principal Component Analysis(TRPCA), which leverages the strengths of trans...

Skin Microbiome alterations in heroin users revealed by full-length 16S rRNA sequencing.

BMC microbiology
BACKGROUND: Identifying key characteristics of unknown suspects, such as age, height, and drug use, is essential for advancing forensic investigations.

Deep Learning-Based Multimodal Fusion Approach for Predicting Acute Dermal Toxicity.

Journal of chemical information and modeling
Acute dermal toxicity testing is essential for assessing the safety of chemicals used in pharmaceuticals, pesticides, cosmetics, and industrial chemicals. Conventional toxicity testing methods rely significantly on animal tests, which are resource-in...