Current Signal Transduction Therapy - Volume 18, Issue 1, 2023

Background: Heart disease is considered one of the complex diseases that has affected a large number of people around the world. It is important to detect and identify cardiac diseases at early stages. Objective: A large number of methods are already present that detect various heart diseases; however, there are some limitations to these methods, that have degraded their overall performance. Methods: In this paper, Read More

Background: Hypertension is a global public health issue that is becoming more prevalent. It is a non-communicable disease and a great public health problem affecting almost half of the world’s adult population. Being multifactorial, hypertension is a key risk factor for stroke, coronary artery disease, heart failure, and chronic renal failure. However, the cellular and molecular mechanisms that regulate it remain mostly Read More

Despite enormous advances in medical technology, the prognosis of Brain Tumour (BT) remains extremely time-consuming and troublesome for physicians. Early and precise brain tumour identification effectively results and leads to an increased survival rate. This paper examines various techniques in order of priority to classify clinical images to analyse various research gaps and highlights their costs and benefits. Human Read More

Introduction: The prolonged antimalarial therapy with the marketed drug has developed multi-resistant strains of Plasmodium parasites that emerge as a consequential global problem. Therefore, designing new antimalarial agents is an exclusive solution to overcome the alarming situation. Methods: The integrated computational perspectives, such as pharmacophore mapping, 3D-QSAR and docking studies have b Read More

Aims: COVID-19 is a widespread infectious disease that affects millions of people worldwide. On account of the alarming rate of the spread of COVID-19, scientists are looking for new strategies for the diagnosis of this disease. X-rays are much more affordable and widely available compared to CT screening. The PCR testing process is time-consuming and experiences false negative rates, these traditional medical i Read More

Background: Computational modeling is used to develop solutions by formulating and modeling real-world problems. This research article presents an innovative approach to using a computational model, as well as an evaluation of software interfaces for usability. Methods: In this work, a machine learning technique is used to classify different mitogenic activated protein kinases (MAPK), namely extracellular signal-regulate Read More