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1. |
Record Nr. |
UNINA9910639987703321 |
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Autore |
Udrescu Lucreția |
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Titolo |
In Silico Strategies for Prospective Drug Repositionings |
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Pubbl/distr/stampa |
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
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ISBN |
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Descrizione fisica |
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1 electronic resource (288 p.) |
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Soggetti |
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Medicine |
Pharmaceutical industries |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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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 |
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cancer, multiple sclerosis, toxoplasmosis, psychiatric disorders, or skin conditions. |
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2. |
Record Nr. |
UNINA9910299733503321 |
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Autore |
Lai Khin Wee |
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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 |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (193 p.) |
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Collana |
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Lecture Notes in Bioengineering, , 2195-2728 |
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Disciplina |
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Soggetti |
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Biomedical engineering |
Ultrasonics |
Medical physics |
Signal processing |
Radiology |
Biomedical Engineering and Bioengineering |
Medical Physics |
Signal, Speech and Image Processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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This book provides the most recent findings and knowledge in advanced diagnostics technology, covering a wide spectrum including |
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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. |
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