Latest AI and machine learning research in dermatology for healthcare professionals.
OBJECTIVE: Patients with nonlocalized bronchiectasis are encountered commonly; however, there is little information regarding surgical intervention in this patient population. The aim of this study was to evaluate symptomatic response and safety of anatomic resection of the predominant lesion via the use of lobectomy for the management of nonlocalized bronchiectasis.
A new green micellar liquid chromatographic method was developed and validated for the quantitative estimation of nicotinamide (NICO) and clindamycin phosphate (CLD) in bulk and pharmaceutical gel formulation. The analytes are well resolved in less than 6.0 minutes using micellar mobile phase consisting of 0.10M sodium dodecyl sulfate (SDS), 0.3% triethylamine, and 10% 2-propanol in 0.02M orthopho...
We develop a novel method for classifying melanocytic tumors as benign or malignant by the analysis of digital dermoscopy images. The algorithm follow...
Noninvasive procedures targeting the elimination of unwanted adipose tissues have recently been developed. injection adipolysis is the term for the in...
OBJECTIVE: The Phase III, randomized, open-label IPASS study (NCT00322452) of first-line epidermal growth factor receptor tyrosine kinase inhibitor (E...
MicroRNAs are a class of small non-coding regulatory RNA molecules that modulate the expression of several genes at post-transcriptional level and pla...
PURPOSE: Typically treatment of large melanomas (by Collaborative Ocular Melanoma Study criteria) is restricted to enucleation, due to size constraint...
In this paper, we propose a generalization of the level set segmentation approach by supplying a novel method for adaptive estimation of active contou...
Cancers involving the oral cavity, head, and neck regions are often treated with cisplatin. In cancer therapy, the main target is to eliminate unwante...
OBJECTIVE: To investigate the therapeutic potential of adipose-derived stem cells (ADSCs) for limited cutaneous scleroderma (LS) in mouse models.
BACKGROUND: The immune response in patients with melanoma is an important focus of research due to the tumor's resistance and immunotherapy possibilit...
INTRODUCTION: Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are place...
We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the challenging task of brain lesion segmentation. The d...
Non-small cell lung cancer (NSCLC) is the most dominating and lethal type of lung cancer triggering more than 1.3 million deaths per year. The most ef...
Robotic assistance improves surgical dexterity in minimally invasive operations, especially when fine dissection and multiple sutures are required. As...
(Verbenaceae) is a plant widely used in folk medicine to treat various diseases. The present work deals with the chemical composition of the crude es...
In this paper, we consider solutions to ten of the challenges faced when trying to predict an individual's functional outcome after stroke on the basi...
Clinical research based on neuroimaging data has benefited from machine learning methods, which have the ability to provide individualized predictions...
Efficiency, memory consumption, and robustness are common problems with many popular methods for data analysis. As a solution, we present Random Bits ...
In this study, oils from Asarum heterotropoides were extracted by traditional solvent extraction and supercritical CO (SC-CO) extraction methods and t...