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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Malviya, Rishabha |
Targeted Cancer Therapy in Biomedical Engineering |
I12869 |
2023 |
eBook |
|
| 2 |
Savari, Mohammad-Nabil |
Theranostic Iron-Oxide Based Nanoplatforms in Oncology |
I12864 |
2023 |
eBook |
|
| 3 |
Arzmi, Mohd Hafiz |
Deep Learning in Cancer Diagnostics |
I12588 |
2023 |
eBook |
|
| 4 |
Svanberg, Sune |
Atomic and Molecular Spectroscopy |
I12373 |
2022 |
Book |
|
| 5 |
Chaughule, Ramesh S |
Nanomaterials for Cancer Detection Using Imaging Techniques and Their Clinical Applications |
I12249 |
2022 |
Book |
|
| 6 |
Koul, Shiban Kishen |
Sub-Terahertz Sensing Technology for Biomedical Applications |
I12175 |
2022 |
Book |
|
| 7 |
Dada, Michael O |
Computational Molecular Magnetic Resonance Imaging for Neuro-oncology |
I11773 |
2021 |
eBook |
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1.
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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
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Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12869 |
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On Shelf |
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2.
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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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3.
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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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4.
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| Title | Atomic and Molecular Spectroscopy : Basic Aspects and Practical Applications |
| Author(s) | Svanberg, Sune |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. |
| Description | XX, 686 p. 468 illus., 61 illus. in color : online resource |
| Abstract Note | This textbook delivers a comprehensive review of modern spectroscopy encompassing a plethora of various X-ray, photoelectron, optical and laser, as well as radiofrequency and microwave spectroscopic techniques. On the fundamental side, it focuses on physical principles and the impact of spectroscopy on our understanding of the building blocks of matter, while in the area of applications, particular attention is given to those in chemical analysis, photochemistry, surface characterization, environmental and medical diagnostics, remote sensing at short and long ranges, and astrophysics. It features detailed discussion of laser cooling and trapping, Bose???Einstein condensation, ultra-fast spectroscopy, high-power laser???matter interaction, spectroscopy and imaging in astronomy, and various spectroscopic aspects of laser medicine. This thoroughly updated and significantly expanded 5th edition of Svanberg???s Atomic and Molecular Spectroscopy includes a new section on the interplay of optical spectroscopy and multispectral imaging, as well as new coverage of laser-spectroscopic applications to cultural heritage monitoring, ecology, optical mammography, and photoacoustic tomography. For newcomers to the field, it introduces a new section on the fundamentals of quantum mechanics, providing a brief primer to those students without formal experience in the subject. Based on the author???s 50-year career lecturing on spectroscopy and its interdisciplinary applications, the book features over 100 chapter-end questions and close to 3000 references, offering a wealth of meticulously curated experience and pedagogical insight to graduate and advanced undergraduate students throughout physics, chemistry, biology, and materials science |
| ISBN,Price | 9783031047763 |
| Keyword(s) | 1. Atomic and Molecular Structure and Properties
2. Atomic structure????
3. Cancer Imaging
4. Cancer???Imaging
5. EBOOK
6. EBOOK - SPRINGER
7. LASER
8. LASERS
9. MOLECULAR SPECTROSCOPY
10. Molecular structure??
11. OPTICAL SPECTROSCOPY
12. QUANTUM OPTICS
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| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12373 |
|
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On Shelf |
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5.
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| Title | Nanomaterials for Cancer Detection Using Imaging Techniques and Their Clinical Applications |
| Author(s) | Chaughule, Ramesh S;Patkar, Deepak P;Ramanujan, Raju V |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. |
| Description | XVI, 524 p. 136 illus., 117 illus. in color : online resource |
| Abstract Note | This book presents nanomaterials for cancer detection using a variety of state-of-the-art imaging techniques. Clinical applications are also highlighted. The unique size-dependent properties and convenient surfaces for molecular assembly make these nanomaterials essential for a variety of innovative imaging techniques. This book covers important imaging modalities, synthesis of nanoparticles with specific functional properties, and clinical applications including the development of anticancer drugs. The information presented here involves contributions from chemistry, materials science, materials characterization, cell engineering, and clinical testing. The book will be essential reading to experienced clinicians as well as a wide range of scholars and researchers interested in nanotechnology and imaging techniques for cancer detection |
| ISBN,Price | 9783031096365 |
| Keyword(s) | 1. Cancer Imaging
2. Cancer???Imaging
3. Drug Delivery
4. Drug delivery systems
5. EBOOK
6. EBOOK - SPRINGER
7. IMAGING SYSTEMS
8. Imaging Techniques
9. Materials???Analysis
10. Nanomedicine
11. Nanomedicine and Nanotoxicology
12. NANOTECHNOLOGY
|
| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12249 |
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On Shelf |
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6.
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| Title | Sub-Terahertz Sensing Technology for Biomedical Applications |
| Author(s) | Koul, Shiban Kishen;Kaurav, Priyansha |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2022. |
| Description | XXII, 276 p. 130 illus., 121 illus. in color : online resource |
| Abstract Note | This book offers the readers an opportunity to acquire the concepts of artificial intelligence (AI) enabled sub-THz systems for novel applications in the biomedical field. The readers will also be inspired to contextualize these applications for solving real life problems such as non-invasive glucose monitoring systems, cancer detection and dental imaging. The introductory section of this book focuses on existing technologies for radio frequency and infrared sensing in biomedical applications, and their limited use in sensing applications, as well as the advantages of using THz technology in this context. This is followed by a detailed comparative analysis of THz electronics technology and other conventional electro optic THz setups highlighting the superior efficiency, affordability and portability of electronics-based THz systems. The book also discusses electronic sub-THz measurement systems for different biomedical applications. The chapters elucidate two major applications where sub-THz provides an edge over existing state of the art techniques used for non-invasive measurement of blood glucose levels and intraoperative assessment of tumor margins. There is a detailed articulation of an application of leveraging machine learning for measurement systems for non-invasive glucose concentration measurement. This helps the reader relate to the output in a more user-friendly format and understand the possible use cases in a more lucid manner. The book is intended to help the reader learn how to build tissue phantoms and characterize them at sub-THz frequencies in order to test the measurement systems. Towards the end of the book, a brief introduction to system automation for biomedical imaging is provided as well for quick analysis of the data. The book will empower the reader to understand and appreciate the immense possibilities of using electronic THz systems in the biomedical field, creating gateways for fueling further research in this area |
| ISBN,Price | 9789811931406 |
| Keyword(s) | 1. Applied and Technical Physics
2. Bioanalysis and Bioimaging
3. Biomedical engineering
4. Biomedical Engineering and Bioengineering
5. BIOPHYSICS
6. Cancer Imaging
7. Cancer???Imaging
8. EBOOK
9. EBOOK - SPRINGER
10. IMAGING SYSTEMS
11. Imaging Techniques
12. Materials???Analysis
13. Microwaves, RF Engineering and Optical Communications
14. PHYSICS
15. TELECOMMUNICATION
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| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12175 |
|
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On Shelf |
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7.
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| Title | Computational Molecular Magnetic Resonance Imaging for Neuro-oncology |
| Author(s) | Dada, Michael O;Awojoyogbe, Bamidele O |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XXXI, 389 p. 117 illus., 109 illus. in color : online resource |
| Abstract Note | Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medial personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic Resonance Imaging for medical diagnosis, prognosis, therapy and management of tissue diseases |
| ISBN,Price | 9783030767280 |
| Keyword(s) | 1. Applications of Mathematics
2. BIOPHYSICS
3. Cancer Imaging
4. Cancer???Imaging
5. EBOOK
6. EBOOK - SPRINGER
7. Magnetic Resonance (NMR, EPR)
8. MATHEMATICS
9. Neurology
10. Neurology??
11. NUCLEAR MAGNETIC RESONANCE
12. ONCOLOGY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11773 |
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On Shelf |
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