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Biomedical Computing for Breast Cancer Detection and Diagnosis
Despite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient ways to detect early breast changes with mammography among the most used techniques. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions (e.g., breast thermography and electrical impedance tomography). Artificial intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. Biomedical Computing for B...
Biomedical Imaging
"Biomedical Imaging: Principles and Advancements" offers a captivating exploration of the intricate landscapes within the human body, revealing the transformative power of biomedical imaging. Edited by Wellington Pinheiro dos Santos, Juliana Carneiro Gomes, Maíra Araújo de Santana, and Clarisse Lins de Lima, this anthology delves into foundational concepts, from acquisition to ethical considerations, paving the way for in-depth examinations of magnetic resonance imaging, infrared thermography, and electrical impedance tomography. The real-world applications covered in Section II, from Alzheimer's diagnosis to Covid-19 assessment, showcase the diverse impact of these imaging techniques on healthcare. A collective effort, this volume inspires continued exploration in the ever-evolving field of biomedical imaging.
Biomedical Imaging
"Biomedical Imaging: Principles and Advancements" offers a captivating exploration of the intricate landscapes within the human body, revealing the transformative power of biomedical imaging. Edited by Wellington Pinheiro dos Santos, Juliana Carneiro Gomes, Maíra Araújo de Santana, and Clarisse Lins de Lima, this anthology delves into foundational concepts, from acquisition to ethical considerations, paving the way for in-depth examinations of magnetic resonance imaging, infrared thermography, and electrical impedance tomography. The real-world applications covered in Section II, from Alzheimer's diagnosis to Covid-19 assessment, showcase the diverse impact of these imaging techniques on healthcare. A collective effort, this volume inspires continued exploration in the ever-evolving field of biomedical imaging.
Understanding a Cancer Diagnosis
Diagnosis can be a deep investigative process, complex by nature. The diagnostic processes have become much more multidisciplinary, demanding the use of an eclectic set of technological methodologies and tools, especially from the Fourth Revolution. Biosensors, Artificial Intelligence, Internet of Things and 3D Printing have become common terms in health research. Cancer in all its forms has become one of the biggest public health issues of the twentieth century. Among all types of cancer, breast cancer is the most dangerous for older and middle-aged women; it is also the most common form of cancer among the female population. Breast cancer is among the five most common cancers worldwide. Th...
AI Innovation in Medical Imaging Diagnostics
Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospit...
ICDSMLA 2020
This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Applications of Synthetic Biology in Health, Energy, and Environment
The application of genetic engineering techniques by redesigning and repurposing biological systems for novel biotechnical applications has paved the way for the field of synthetic biology. This field boosted the evolution and discovery of various novel technologies essential to the conquest of biological problems related to health, disease, the environment, and energy. The field of synthetic biology is growing rapidly, and further research is required. Applications of Synthetic Biology in Health, Energy, and Environment deliberates on principles and the advancement of synthetic biology and their translation in the fields of health, disease, energy, and the environment. Covering topics such as climate change, bioremediation, and smart drugs, this premier reference source is an excellent resource for students and educators of higher education, industrialists, medical professionals, hospital administrators, policymakers, environmental scientists, pharmacists, librarians, researchers, and academicians.
Isolation, Characterization, and Therapeutic Applications of Natural Bioactive Compounds
Natural products have historically been key to drug discovery and therapeutic applications throughout many societies. In the modern era, natural bioactive compounds can be isolated, and their effects can be further studied for more successful outcomes. It is essential to study these natural bioactive compounds to enhance pharmaceuticals and drug discovery. Isolation, Characterization, and Therapeutic Applications of Natural Bioactive Compounds examines the applications of natural bioactive compounds from a health perspective. It discusses medicinal and therapeutic applications of natural bioactive molecules as well as the biological activities of different natural products and their properties. Covering topics such as drug discovery, government regulations, and phytochemical extraction, this premier reference source is an excellent resource for pharmacists, medical practitioners, phytologists, hospital administrators, government officials, faculty and students of higher education, librarians, researchers, and academicians.
Physiology and Function of Glial Cells in Health and Disease
Glial cells, including microglia, astrocytes, oligodendrocytes, and their progenitors NG2-glia, serve as key players in maintaining structural integrity and complex brain homeostasis. They actively participate in neurotransmission, energy metabolism, synaptic plasticity, neurogenesis, ion balance, immune defense, and the clearance of neuronal debris. However, the physiological functions of glial cells are often compromised in aging, neurodegenerative diseases such as Alzheimer's, Parkinson's, ALS, and multiple sclerosis, as well as in gliomas, brain tumors demanding specialized understanding for effective therapeutic interventions. Physiology and Function of Glial Cells in Health and Disease...
AI-Enabled Smart Healthcare Using Biomedical Signals
Technological advancements have enhanced all functions of society and revolutionized the healthcare field. Smart healthcare applications and practices have grown within the past decade, strengthening overall care. Biomedical signals observe physiological activities, which provide essential information to healthcare professionals. Biomedical signal processing can be optimized through artificial intelligence (AI) and machine learning (ML), presenting the next step towards smart healthcare. AI-Enabled Smart Healthcare Using Biomedical Signals will not only cover the mathematical description of the AI- and ML-based methods, but also analyze and demonstrate the usability of different AI methods f...
