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Mathematical and Computational Studies on Progress, Prognosis, Prevention and Panacea of Breast Cancer, Dey Suhrit, Dey Charlie


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Автор: Dey Suhrit, Dey Charlie
Название:  Mathematical and Computational Studies on Progress, Prognosis, Prevention and Panacea of Breast Cancer
ISBN: 9789811660764
Издательство: Springer
Классификация:






ISBN-10: 981166076X
Обложка/Формат: Hardcover
Страницы: 392
Вес: 0.72 кг.
Дата издания: 26.04.2022
Серия: Forum for interdisciplinary mathematics
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 35 tables, color; 134 illustrations, color; 101 illustrations, black and white; xxxvii, 351 p. 235 illus., 134 illus. in color.
Размер: 23.39 x 15.60 x 2.24 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book`s aim is to study the mathematical and computational models to analyze the progress, prognosis, prevention, and panacea of breast cancer. The book also attempts to design mathematical model of targeted strategic treatments by using Skilled Killer Drugs (SKD1 and SKD2) to suggest the improvisation of future cancer treatments.

Computational Intelligence in Oncology: Applications in Diagnosis, Prognosis and Therapeutics of Cancers

Автор: Raza Khalid
Название: Computational Intelligence in Oncology: Applications in Diagnosis, Prognosis and Therapeutics of Cancers
ISBN: 9811692203 ISBN-13(EAN): 9789811692208
Издательство: Springer
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Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.

Methods of cancer diagnosis, therapy and prognosis; Breast Carcinoma

Автор: Hayat, M. A.
Название: Methods of cancer diagnosis, therapy and prognosis; Breast Carcinoma
ISBN: 1402083688 ISBN-13(EAN): 9781402083686
Издательство: Springer
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Цена: 330870.00 T
Наличие на складе: Нет в наличии.
Описание: This is the first book that discusses subjects of diagnosis, therapy, therapy assessment, and prognosis of breast cancer in one single volume. Cancer killed 6.7 million people around the world in 2002 and this figure is expected to rise to 10.1 million in 2020. Approximately, 189,510 new cases of breast cancer were reported in 2007 in the United States, and 40,910 died in the same year.

Focusing on Breast Carcinoma, this first volume in the series "Methods of Cancer Diagnosis, Therapy and Prognosis" brings together 56 leading scientists from around the world to deliver a comprehensive treatise on all aspects of breast cancer, including diagnosis, treatments and prognosis. Scientists and clinicians have contributed state of the art chapters on their respective areas of expertise providing the reader a whole field view of breast cancer management. This fully illustrated volume: presents a constructive evaluation of commonly used methods for elucidating primary and secondary cancer initiation, progression, relapse, and metastasis; highlights methods of breast cancer diagnosis and treatment assessment including various imaging modalities such as ultrasound, computed tomography, magnetic resonance imaging, immunohistochemistry and histochemistry; discusses detailed therapeutic protocols, including both their benefits and side-effects; discusses examples of breast cancer treatments including chemotherapy, radiation, chemoradiation, surgery, hormonal - and immunotherapy; details the molecular processes that lead to the development and proliferation of cancer cells; and, includes recent major advances in cancer diagnosis and therapy assessment.

Professor Hayat has summarized the problems associated with the complexities of research publications and has been successful in editing a must-read volume for oncologists, cancer researchers medical teachers and students of cancer biology.

Advanced Machine Learning Approaches in Cancer Prognosis

Автор: Nayak
Название: Advanced Machine Learning Approaches in Cancer Prognosis
ISBN: 3030719774 ISBN-13(EAN): 9783030719777
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer.

Methods of cancer diagnosis, therapy and prognosis:General Methods and Overviews, Lung Carcinoma and Prostate Carcinoma

Автор: Hayat, M. A.
Название: Methods of cancer diagnosis, therapy and prognosis:General Methods and Overviews, Lung Carcinoma and Prostate Carcinoma
ISBN: 1402084412 ISBN-13(EAN): 9781402084416
Издательство: Springer
Рейтинг:
Цена: 304750.00 T
Наличие на складе: Невозможна поставка.
Описание: Cancer is the leading cause of death, in the number of older cancer patients is after cardiovascular diseases, in the expected.

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management

Название: Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management
ISBN: 0367455218 ISBN-13(EAN): 9780367455217
Издательство: Taylor&Francis
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Цена: 64300.00 T
Наличие на складе: Невозможна поставка.
Описание: Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management brings together the work of top researchers to present the results of their state-of-the-art work with ANNs as applied to nearly all major areas of cancer for diagnosis, prognosis, and management of the disease. It introduces the theory of neural networks and the meth

Methods of cancer diagnosis, therapy and prognosis

Автор: M. A. Hayat (Ed.)
Название: Methods of cancer diagnosis, therapy and prognosis
ISBN: 1402095449 ISBN-13(EAN): 9781402095443
Издательство: Springer
Рейтинг:
Цена: 304750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discusses various methodologies for the diagnosis, therapy and prognosis of colorectal cancer. This title highlights many methods for diagnosing colorectal cancer at various stages of development, including immunohistochemistry, in situ hybridization immunoscintigraphy, RT- PCR, free circulating DNA levels in blood and stool, CT, PET, and MRI.

Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications

Автор: Nayak Janmenjoy, Favorskaya Margarita N., Jain Seema
Название: Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications
ISBN: 303071974X ISBN-13(EAN): 9783030719746
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer.

Esophageal Cancer: Symptoms, Management and Prognosis

Автор: Fernando Lopez, Roberto Marti Obiol
Название: Esophageal Cancer: Symptoms, Management and Prognosis
ISBN: 1633210820 ISBN-13(EAN): 9781633210820
Издательство: Nova Science
Рейтинг:
Цена: 224920.00 T
Наличие на складе: Невозможна поставка.
Описание: There are not many books published about esophageal cancer. Esophageal cancer is an entity that must be treated from a multimodal approach. Recent advances in diagnosis, anesthetic aspects and perioperative care, among others, are summarized in this book. This book is written in a simple way and intends to cover the main aspects of this type of cancer. It incorporates the latest evidence about the diagnosis, management and treatment of esophageal cancer from a multimodal point of view. Epidemiologists, gastroenterologists, oncologists and surgeons have all participated in the elaboration of this book. It is divided into ten chapters, describing all esophageal cancer topics and each chapter has been written by recognized experts in this field. Complex content and results have been made reader-friendly and easily understandable. This book is especially useful for residents and fellows because it highlights the important principles for managing these patients. The chapter about surgery is written by a surgeon who is currently considered the best in esophageal cancer, Prof. Simon Law. Also, the oncological content has been written highlighting the latest practical and clinical evidence. The reader can use this book as a practical guideline when addressing patients with esophageal cancer.

Pointers to Cancer Prognosis

Автор: B.A. Stoll
Название: Pointers to Cancer Prognosis
ISBN: 0898388767 ISBN-13(EAN): 9780898388763
Издательство: Springer
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Цена: 81050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The last 30 years have seen little improvement in the age-adjusted mortality rates for most common types of cancer, and until we develop more effective and less damaging treatment modalities for these tumours, selection of each patient`s treatment must depend on prognostic pointers.


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