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Author | Title | Accn# | Year | Item Type | Claims |
1 |
Malviya, Rishabha |
Engineered Biomaterials |
I12909 |
2023 |
eBook |
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2 |
Malviya, Rishabha |
Targeted Cancer Therapy in Biomedical Engineering |
I12869 |
2023 |
eBook |
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3 |
Savari, Mohammad-Nabil |
Theranostic Iron-Oxide Based Nanoplatforms in Oncology |
I12864 |
2023 |
eBook |
|
4 |
Arzmi, Mohd Hafiz |
Deep Learning in Cancer Diagnostics |
I12588 |
2023 |
eBook |
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5 |
Scientific American |
Cancer biology |
009041 |
1986 |
Book |
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1.
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Title | Engineered Biomaterials : Synthesis and Applications |
Author(s) | Malviya, Rishabha;Sundram, Sonali |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
Description | XVI, 619 p. 153 illus., 145 illus. in color : online resource |
Abstract Note | This book highlights recent advances focusing on the synthesis methods of engineered biomaterials and their applications. The book discusses recent applications of various approaches and technology in improving the functional properties and biological activities of biopolymers. It includes two major sections: the first section introduces a range of methods which lead to materials with enhanced properties for a range of practical applications, along with the positives and limitations of the techniques. The second section covers recent trends and advances in application of engineered biomaterials that assist materials scientists and researchers in mapping out the future of these new improved materials through value addition in order to enhance their use. Contributions in the book are done by prominent researchers from industry, academia, and government/private research laboratories across the globe. The book summarizes in a fairly comprehensive manner many of the recent technical advancements in the area of biopolymers. The book is intended to serve as a reference resource in the area of polymers science |
ISBN,Price | 9789819966981 |
Keyword(s) | 1. Biomaterials
2. Biomedical engineering
3. Biomedical Engineering and Bioengineering
4. CANCER
5. Cancer Therapy
6. EBOOK - SPRINGER
7. Medical physics
8. Nanobiotechnology
9. Nanophysics
10. NANOSCIENCE
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Item Type | eBook |
Multi-Media Links
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12909 |
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On Shelf |
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2.
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Title | Targeted Cancer Therapy in Biomedical Engineering |
Author(s) | Malviya, Rishabha;Sundram, Sonali |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
Description | XXII, 941 p. 211 illus., 204 illus. in color : online resource |
Abstract Note | This book highlights the role of Biomedical Engineering (BME) used in diagnosis (e.g., body scanners) and treatment (radiation therapy and minimal access surgery in order to prevent various diseases). In recent years, an important progress has been made in the expansion of biomedical microdevices which has a major role in diagnosis and therapy of cancer. When fighting cancer, efficacy and speed are of the utmost importance. A recently developed microfluidic chip has enabled a breakthrough in testing the efficacy of specialized cancer drugs. Effective cancer-targeting therapies will require both passive and active targeting strategies and a thorough understanding of physiologic barriers to targeted drug delivery. Targeted cancer treatments in development and the new combinatorial approaches show promise for improving targeted anticancer drug delivery and improving treatment outcomes. This book discusses the advancements and innovations in the field of BME that improve the diagnosis and treatment of cancer. This book is focused on bioengineering approaches to improve targeted delivery for cancer therapeutics, which include particles, targeting moieties, and stimuli-responsive drug release mechanisms. This book is a useful resource for students, researchers, and professionals in BME and medicine |
ISBN,Price | 9789811997860 |
Keyword(s) | 1. Biomedical engineering
2. Biomedical Engineering and Bioengineering
3. CANCER
4. Cancer Imaging
5. Cancer Therapy
6. Computer-aided engineering
7. Computer-Aided Engineering (CAD, CAE) and Design
8. EBOOK - SPRINGER
9. Medical physics
10. Nanobiotechnology
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Item Type | eBook |
Multi-Media Links
media link description
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12869 |
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On Shelf |
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3.
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Title | Theranostic Iron-Oxide Based Nanoplatforms in Oncology : Synthesis, Metabolism, and Toxicity for Simultaneous Imaging and Therapy |
Author(s) | Savari, Mohammad-Nabil;Jabali, Ali |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
Description | XV, 410 p. 125 illus., 119 illus. in color : online resource |
Abstract Note | This book highlights the most efficient and latest ways to deal with cancer, focusing on IONPs. The book describes some well-designed surface modifications performed through several functional materials over the surface of IONPs, which results in the development of multifunctional IONPs-based delivery nanoplatforms by enhancing solubility, stability, and avoiding side effects on healthy cells. Several types of stimuli-responsive IONPs-based strategies are also discussed. Owing to magnetic, structural, and thermal properties, IONPs themselves can be utilized for magnetic targeting, magnetic hyperthermia, and phototherapy. Significant advancements are presented in IONPs-based immunotherapy, radiotherapy, and sonodynamic therapy for the efficient treatment of cancer. Finally, the book presents RIONs which serve as the parent platform for the development of powerful DMCAs utilized in SPECT/MRI and PET/MRI applications |
ISBN,Price | 9789819965076 |
Keyword(s) | 1. Bioanalysis and Bioimaging
2. BIOPHYSICS
3. CANCER
4. Cancer Imaging
5. EBOOK - SPRINGER
6. Medical physics
7. Nanochemistry
8. Nanoengineering
9. NANOTECHNOLOGY
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Item Type | eBook |
Multi-Media Links
media link description
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12864 |
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On Shelf |
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4.
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Title | Deep Learning in Cancer Diagnostics : A Feature-based Transfer Learning Evaluation |
Author(s) | Arzmi, Mohd Hafiz;P. P. Abdul Majeed, Anwar;Muazu Musa, Rabiu;Mohd Razman, Mohd Azraai;Gan, Hong-Seng;Mohd Khairuddin, Ismail;Ab. Nasir, Ahmad Fakhri |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
Description | X, 34 p. 13 illus., 11 illus. in color : online resource |
Abstract Note | Cancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries for individuals less than 70 years old, which is alarming. In addition, cancer affects socioeconomic development as well. The diagnostics of cancer are often carried out by medical experts through medical imaging; nevertheless, it is not without misdiagnosis owing to a myriad of reasons. With the advancement of technology and computing power, the use of state-of-the-art computational methods for the accurate diagnosis of cancer is no longer far-fetched. In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer |
ISBN,Price | 9789811989377 |
Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. CANCER
3. Cancer Imaging
4. Computational Intelligence
5. EBOOK - SPRINGER
6. Medical physics
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Item Type | eBook |
Multi-Media Links
media link description
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12588 |
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On Shelf |
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