New Issue | Current Topics in Medicinal Chemistry 19-5

 

Current Topics in Medicinal Chemistry is a forum for the review of areas of keen and topical interest to medicinal chemists and others in the allied disciplines. Each issue is solely devoted to a specific topic, containing six to nine reviews, which provide the reader a comprehensive survey of that area. A Guest Editor who is an expert in the topic under review, will assemble each issue. The scope of Current Topics in Medicinal Chemistry will cover all areas of medicinal chemistry, including current developments in rational drug design, synthetic chemistry, bioorganic chemistry, high-throughput screening, combinatorial chemistry, compound diversity measurements, drug absorption, drug distribution, metabolism, new and emerging drug targets, natural products, pharmacogenomics, and structure-activity relationships. Medicinal chemistry is a rapidly maturing discipline. The study of how structure and function are related is absolutely essential to understanding the molecular basis of life. Current Topics in Medicinal Chemistry aims to contribute to the growth of scientific knowledge and insight, and facilitate the discovery and development of new therapeutic agents to treat debilitating human disorders. The journal is essential for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important advances.

 

 

Articles from the journal Current Topics in Medicinal Chemistry Volume 19, Issue 5:

• Trends in Enzyme Inhibition and Activation in Drug Design – Part II
• Prediction of Drug-Drug Interactions Related to Inhibition or Induction of Drug-Metabolizing Enzymes
• Mycobacterial tuberculosis Enzyme Targets and their Inhibitors
• Design, Synthesis, Evaluation of Antimicrobial Activity and Docking Studies of New Thiazole-based Chalcones
• Synthesis and In Vitro Enzymatic Studies of New 3-Aryldiazenyl Indoles as Promising Helicobacter pylori IMPDH Inhibitors
• Docking Assisted Prediction and Biological Evaluation of Sideritis L. Components with PTP1b Inhibitory Action and Probable Anti-Diabetic Properties

For more details on the article, please visit: https://bit.ly/2PiwVza

Aims & Scope | Current Medical Imaging

 

Current Medical Imaging publishes frontier review articles, original research articles, case reports, drug clinical trial studies and guest edited thematic issues on all the latest advances on medical imaging dedicated to clinical research. All relevant areas are covered by the journal, including advances in the diagnosis, instrumentation and therapeutic applications related to all modern medical imaging techniques.

The journal is essential reading for all clinicians and researchers involved in medical imaging and diagnosis. To learn more about the journal, please visit: https://benthamscience.com/journals/current-medical-imaging/

 

 

Most Accessed Articles | A Review of Denoising Medical Images Using Machine Learning Approaches

Author(s): Prabhpreet Kaur*, Gurvinder Singh, Parminder Kaur.

Journal Name: Current Medical Imaging

 

This paper attempts to identify suitable Machine Learning (ML) approach for image denoising of radiology based medical application. The Identification of ML approach is based on (i) Review of ML approach for denoising (ii) Review of suitable Medical Denoising approach.

The review focuses on six application of radiology: Medical Ultrasound (US) for fetus development, US Computer Aided Diagnosis (CAD) and detection for breast, skin lesions, brain tumor MRI diagnosis, X-Ray for chest analysis, Breast cancer using MRI imaging. This survey identifies the ML approach with better accuracy for medical diagnosis by radiologists. The image denoising approaches further includes basic filtering techniques, wavelet medical denoising, curvelet and optimization techniques. In most of the applications, the machine learning performance is better than the conventional image denoising techniques. For fast and computational results the radiologists are using the machine learning methods on MRI, US, X-Ray and Skin lesion images. The characteristics and contributions of different ML approaches are considered in this paper. Read out full article here: http://www.eurekaselect.com/152027

 

 

Open Access Articles | Alzheimer’s Disease Classification Based on Multi-feature Fusion

Author(s): Nuwan Madusanka, Heung-Kook Choi*, Jae-Hong So, Boo-Kyeong Choi.

Journal Name: Current Medical Imaging

In this study, we investigated the fusion of texture and morphometric features as a possible diagnostic biomarker for Alzheimer’s Disease (AD).

In particular, we classified subjects with Alzheimer’s disease, Mild Cognitive Impairment (MCI) and Normal Control (NC) based on texture and morphometric features. Currently, neuropsychiatric categorization provides the ground truth for AD and MCI diagnosis. This can then be supported by biological data such as the results of imaging studies. Cerebral atrophy has been shown to correlate strongly with cognitive symptoms. Hence, Magnetic Resonance (MR) images of the brain are important resources for AD diagnosis. In the proposed method, we used three different types of features identified from structural MR images: Gabor, hippocampus morphometric, and Two Dimensional (2D) and Three Dimensional (3D) Gray Level Co-occurrence Matrix (GLCM). The experimental results, obtained using a 5-fold cross-validated Support Vector Machine (SVM) with 2DGLCM and 3DGLCM multi-feature fusion approaches, indicate that we achieved 81.05% ±1.34, 86.61% ±1.25 correct classification rate with 95% Confidence Interval (CI) falls between (80.75-81.35) and (86.33-86.89) respectively, 83.33%±2.15, 84.21%±1.42 sensitivity and 80.95%±1.52, 85.00%±1.24 specificity in our classification of AD against NC subjects, thus outperforming recent works found in the literature. For the classification of MCI against AD, the SVM achieved a 76.31% ± 2.18, 78.95% ±2.26 correct classification rate, 75.00% ±1.34, 76.19%±1.84 sensitivity and 77.78% ±1.14, 82.35% ±1.34 specificity. Read out full article here: http://www.eurekaselect.com/166178

 

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Wishing you a very Happy Birthday | Dr. Dimitri P. Mikhailidis

 

 

Dr. Dimitri P. Mikhailidis

Editor in Chief: Current Vascular Pharmacology

Academic Head, Department of Clinical Biochemistry
Royal Free Hospital Campus
University College London Medical School
University College London (UCL)
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UK

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Wishing you a very Happy Birthday | Dr. Norman E. Cameron

 

 

Dr. Norman E. Cameron Editor in Chief: Current Diabetes Reviews University of Aberdeen Aberdeen Scotland UK

Wishing you a very Happy Birthday | Prof. George Perry

 

 

Prof. George Perry

Editor in Chief: Mini-Reviews in Medicinal Chemistry

College of Sciences
The University of Texas at San Antonio
Texas
USA