1.

Record Nr.

UNINA9910639987703321

Autore

Udrescu Lucreția

Titolo

In Silico Strategies for Prospective Drug Repositionings

Pubbl/distr/stampa

Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022

ISBN

3-0365-6133-1

Descrizione fisica

1 electronic resource (288 p.)

Soggetti

Medicine

Pharmaceutical industries

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

The discovery of new drugs is one of pharmaceutical research's most exciting and challenging tasks. Unfortunately, the conventional drug discovery procedure is chronophagous and seldom successful; furthermore, new drugs are needed to address our clinical challenges (e.g., new antibiotics, new anticancer drugs, new antivirals).Within this framework, drug repositioning—finding new pharmacodynamic properties for already approved drugs—becomes a worthy drug discovery strategy.Recent drug discovery techniques combine traditional tools with in silico strategies to identify previously unaccounted properties for drugs already in use. Indeed, big data exploration techniques capitalize on the ever-growing knowledge of drugs' structural and physicochemical properties, drug–target and drug–drug interactions, advances in human biochemistry, and the latest molecular and cellular biology discoveries.Following this new and exciting trend, this book is a collection of papers introducing innovative computational methods to identify potential candidates for drug repositioning. Thus, the papers in the Special Issue In Silico Strategies for Prospective Drug Repositionings introduce a wide array of in silico strategies such as complex network analysis, big data, machine learning, molecular docking, molecular dynamics simulation, and QSAR; these strategies target diverse diseases and medical conditions: COVID-19 and post-COVID-19 pulmonary fibrosis, non-small lung



cancer, multiple sclerosis, toxoplasmosis, psychiatric disorders, or skin conditions.

2.

Record Nr.

UNINA9910299733503321

Autore

Lai Khin Wee

Titolo

Advances in Medical Diagnostic Technology / / by Khin Wee Lai, Yan Chai Hum, Maheza Irna Mohamad Salim, Sang-Bing Ong, Nugraha Priya Utama, Yin Mon Myint, Norliza Mohd Noor, Eko Supriyanto

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2014

ISBN

981-4585-72-6

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (193 p.)

Collana

Lecture Notes in Bioengineering, , 2195-2728

Disciplina

616.0754

Soggetti

Biomedical engineering

Ultrasonics

Medical physics

Signal processing

Radiology

Biomedical Engineering and Bioengineering

Medical Physics

Signal, Speech and Image Processing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

Ultrasonic Elastography and Breast Imaging -- Review on Segmentation of Computer-Aided Skeletal Maturity Assessment -- Review on Advanced Techniques in 2-D Fetal Echocardiography- An Image Processing Perspective --  Texture-Based Statistical Detection and Discrimination of some Respiratory Diseases using Chest Radiography -- Imaging of Mitochondrial Disorders: A Review -- A Novel Hybrid Magnetoacoustic Measurement Method for Breast Cancer Detection -- Sequential Process of Emotional Information from Facial Expressions: Simple Event Related Potential (ERP) for the Study of Brain Activities.

Sommario/riassunto

This book provides the most recent findings and knowledge in advanced diagnostics technology, covering a wide spectrum including



brain activity analysis, breast and lung cancer detection, echocardiography, computer aided skeletal assessment to mitochondrial biology imaging at the cellular level. The authors explored magneto acoustic approaches and tissue elasticity imaging for the purpose of breast cancer detection. Perspectives in fetal echocardiography from an image processing angle are included. Diagnostic imaging in the field of mitochondrial diseases as well as the use of Computer-Aided System (CAD) are also discussed in the book. This book will be useful for students, lecturers or professional researchers in the field of biomedical sciences and image processing.