Development and validation of the Iranian Minimum Data Set for Epidermolysis Bullosa: A mixed method approach.

Minimum Data Set (MDS) enables integration in data collection, uniform data reporting, and data exchange across clinical and research information systems. The current study was conducted to determine a comprehensive national MDS for the Epidermolysis Bullosa (EB) information management system in Iran. This cross-sectional descriptive study consists of three steps: systematic review, focus group discussion, and the Delphi technique.

Acinetobacter baumannii: An overview of emerging multidrug-resistant pathogen.

The emergence of infections caused by Acinetobacter baumannii, a multidrug-resistant bacterium, has been a concern worldwide. This bacterium is an important hospitalacquired pathogen that causes several diseases including ventilator-associated pneumonia, bloodstream infections, and meningitis. This study aimed to determine antibioticresistant mechanisms in the pathogenesis of A.

Management of the essential data element in the differential diagnosis of oral medicine: An effective step in promoting oral health.

Background: Oral soft tissue diseases include a broad spectrum, and the wide array of patient data elements need to be processed in their diagnosis. One of the biggest and most basic challenges is the analysis of this huge amount of complex patient data in an increasing number of complicated clinical decisions. This study seeks to identify the necessary steps for collecting and management of these data elements through establishing a consensus-based framework.

Developing a new intelligent system for the diagnosis of oral medicine with case-based reasoning approach.

Objective: Since the clinical manifestations of many oral diseases can be quite similar despite the wide variety in etiology and pathology, the differential diagnosis of oral diseases is a complex and challenging process. Intelligent system for differential diagnosis of oral medicine using the artificial intelligence (AI) capabilities helps specialists in achieving differential diagnosis in a wide range of oral diseases.

Materials And Methods: First, the essential data elements to design and develop an intelligent system were identified in a cross-sectional descriptive study.

Highlighting a valuable dimension in health care librarianship: A systematic review.

Educational role is one of the most important roles of librarians, which has taken on wider dimensions. A review of the literature on the training programs provided by librarians revealed an evolution of the ideas and trends in this area. This systematic review aimed at providing a clear image of the available educational programs, their target groups, and the way they are performed.

Barriers to participation in medical research from the perspective of researchers.

Background: The first step toward organizing research activities is to obtain a correct perception of available capabilities. This study was conducted to investigate the researchers' views about barriers affecting research activities.

Methods: This descriptive, cross-sectional study was conducted using the census method.

Improving the Prediction of Survival in Cancer Patients by Using Machine Learning Techniques: Experience of Gene Expression Data: A Narrative Review.

Background: Today, despite the many advances in early detection of diseases, cancer patients have a poor prognosis and the survival rates in them are low. Recently, microarray technologies have been used for gathering thousands data about the gene expression level of cancer cells. These types of data are the main indicators in survival prediction of cancer.

The effect of central injection of ghrelin and bombesin on mean plasma thyroid hormones concentration.

Ghrelin increases food intakes and body weight. Bombesin decreases food intakes and inhibits the stimulatory effect of Ghrelin on food intakes. Thyroid hormones have a crucial role in the regulation of body weight and yet the effect of bombesin on thyroid axis activity is not fully clear.