Current Signal Transduction Therapy - Volume 16, Issue 2, 2021

Background: The present study proceeds to incorporate feature selection as a means for selecting the most relevant features affecting the prediction of cash prices in Iran in terms of health economics. Health economics is an academic field that aids in ameliorating health conditions so as to make better decisions in regard to the economy such as determining cash prices. Methods: Accordingly, a series of search algorith Read More

Introduction: Recently, deep learning based methods have become an important approach to the accurate analysis of medical images. Materials and Methods: This paper provides a comprehensive survey of the most important deep learning based methods that have been developed for medical image processing. A number of important contributions made in the last five years are summarized and surveyed. Results: Spec Read More

Background: Multi-Service Streams Network (MSSN) has become such a popular technique in modern applications including, medical fields for E-health applications, such as medical systems and patient monitoring network systems. Recent E-health researches intend to compare MSSN data communications with traditional methods such as the internet. Methods: Based on the above-mentioned fact, the proposed work in this Read More

The serum and glucocorticoid inducible protein kinase (SGK) family signals downstream of phosphoinositide-3-kinase (PI3K) and is made up of three isoforms: SGK1, 2, and 3. respectively, and their activity is dependent on growth factor activation. Among these SGK families, one such potential target and a less explored enzyme is SGK3. SGK3 regulates a range of basic cellular processes, such as cell proliferation, migration and Read More

Background: With the enhancement in manageability and robustness, ultrasound discovers growing usage in an eclectic variety of applications. The capability to accomplish and construe an outsized variability of ultrasound investigations is marvelously revealed by Physicians, nurses and medical officers, and the use of ultrasound in the developing world is unequivocally supported by a growing body of literature. This paper deliver Read More

The main objective of image fusion for multimodal medical images is to retrieve valuable information by combining multiple images obtained from various sources into a single image suitable for better diagnosis. In this paper, a detailed survey on various existing medical image fusion algorithms, with a comparative discussion is presented. Image fusion algorithms available in the current literature are categorized into v Read More

Background: Long non-coding ribonucleic acid (lncRNA) are known as similar transcripts of messenger RNA (mRNA) whose size discrepancy is between 100 and 200 nucleotides. Recent studies in this area have revealed that lncRNAs are involved in cancer tumorigenesis and progression. Such molecules are transcribed from genome regions that lack open reading frame (ORF) and fail to encode any protein. LncRNAs are c Read More

Introduction: In recent years, resting-state functional magnetic resonance imaging (rsfMRI) has been increasingly used as a noninvasive and practical method in different areas of neuroscience and psychology for recognizing brain’s mechanism as well as diagnosing neurological diseases. In this work, we use rs-fMRI data for diagnosing Alzheimer's disease. Materials and Methods: To do that, by using the rs-fMRI of a patient, Read More

Background: Scanning Laser Ophthalmoscope (SLO) image can be used to detect retinal diseases. However detecting retinal area is a major task as retina artefacts such as eyelashes and eyelids are also captured. Huge part of retina can be viewed if it is done with the help of encroachment of SLO.Vision loss can be avoided with the help of retinal disease treatment. In olden days retinal diseases are recognized using manual tec Read More