Dermatology

Design and synthesis of cell selective α/β-diastereomeric peptidomimetic with potent in vivo antibacterial activity against methicillin resistant S. Aureus.

Design of therapeutically viable antimicrobial peptides with cell selectivity against microorganisms is an important step towards the development of new antimicrobial agents. Here, we report four de novo designed, short amphipathic sequences based on a α-helical template comprising of Lys, Trp and Leu or their corresponding D-and/or β-amino acids. Sequence A-12 was protease susceptible whereas its...

Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks.

Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-aided diagnosis of melanoma. However, this task is challenging due to significant variations of lesion appearances across different patients. This challenge is further exacerbated when dealing with a large amount of image data. In this paper, we extended our previous work by developing a deeper network archit...

Antibacterial, Antiproliferative, and Immunomodulatory Activity of Silver Nanoparticles Synthesized with Fucans from the Alga Dictyota mertensii.

In this study, we aimed to synthesize silver nanoparticles containing fucans from (Martius) Kützing using an environmentally friendly method and to c...

Evidence for Anti-Pseudogymnoascus destructans (Pd) Activity of Propolis.

White-nose syndrome (WNS) in bats, caused by (), is a cutaneous infection that has devastated North American bat populations since 2007. At present, ...

The role of klotho in systemic sclerosis.

The aim was to evaluate the role of klotho in the pathogenesis of systemic sclerosis (SSc), through the measurement of its serum concentration in SSc ...

Two new bis-iridoids isolated from Scabiosa stellata and their antibacterial, antioxidant, anti-tyrosinase and cytotoxic activities.

This study presents the chemical profile investigation of a 70% ethanol extract obtained from Scabiosa stellata, a medicinal herbaceous traditionally ...

Effect of dacarbazine on CD44 in live melanoma cells as measured by atomic force microscopy-based nanoscopy.

CD44 ligand-receptor interactions are known to be involved in regulating cell migration and tumor cell metastasis. High expression levels of CD44 corr...

Breast lesion classification based on supersonic shear-wave elastography and automated lesion segmentation from B-mode ultrasound images.

Supersonic shear-wave elastography (SWE) has emerged as a useful imaging modality for breast lesion assessment. Regions of interest (ROIs) were requir...

Salinomycin-loaded lipid-polymer nanoparticles with anti-CD20 aptamers selectively suppress human CD20+ melanoma stem cells.

Melanoma is the deadliest type of skin cancer. CD20+ melanoma stem cells (CSCs) are pivotal for metastasis and initiation of melanoma. Therefore, sele...

Vitamin D Deficiency and Atopic Dermatitis: Consider Disease, Race, and Body Mass.

Vitamin D deficiency causes rickets, but has been associated with various diseases, including atopic dermatitis (AD). This study analyzes serum vitami...

Natural compounds and extracts from Mexican medicinal plants with anti-leishmaniasis activity: An update.

Leishmaniasis is considered as an emerging, uncontrolled disease and is endemic in 98 countries. Annually, about 2 million cases of cutaneous and 5000...

Melanoma segmentation based on deep learning.

Malignant melanoma is one of the most deadly forms of skin cancer, which is one of the world's fastest-growing cancers. Early diagnosis and treatment ...

Cervical cancer histology image identification method based on texture and lesion area features.

The issue of an automated approach for detecting cervical cancer is proposed to improve the accuracy of recognition. Firstly, the cervical cancer hist...

An ensemble deep learning based approach for red lesion detection in fundus images.

BACKGROUND AND OBJECTIVES: Diabetic retinopathy (DR) is one of the leading causes of preventable blindness in the world. Its earliest sign are red les...

Machine learning and melanoma: The future of screening.

Identification of potentially oncogenic alterations from tumor-only samples reveals Fanconi anemia pathway mutations in bladder carcinomas.

Cancer is caused by germline and somatic mutations, which can share biological features such as amino acid change. However, integrated germline and so...

Delineation of the ischemic stroke lesion based on watershed and relative fuzzy connectedness in brain MRI.

Precise segmentation of stroke lesions from brain magnetic resonance (MR) images poses a challenging task in automated diagnosis. In this paper, we pr...

Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.

Oral Squamous Cell Carcinoma (OSCC) is a common type of cancer of the oral epithelium. Despite their high impact on mortality, sufficient screening me...

Development and evaluation of exemestane-loaded lyotropic liquid crystalline gel formulations.

The use of liquid crystalline (LC) gel formulations for drug delivery has considerably improved the current delivery methods in terms of bioavailabil...

Rapid and accurate intraoperative pathological diagnosis by artificial intelligence with deep learning technology.

Frozen section is widely used for intraoperative pathological diagnosis (IOPD), which is essential for intraoperative decision making. However, frozen...