تحسين النتائح
ترتيب حسب
من
الى
الصفحة 2
الصفحة 2
Aromatase Inhibitors
Many breast tumours are dependent upon oestrogen for their development and continued growth. Over the last 25 years hormone therapy has progressed from the irreversible destruction of endocrine glands to the use of drugs that reversibly suppress oestrogen synthesis or action. The inhibition of oestrogen synthesis is most readily achieved by inhibiting the final step in the pathway of oestrogen biosynthesis, the reaction which transforms androgens into oestrogens by creating an aromatic ring in the steroid molecule (hence the enzyme's trivial name, aromatase). Whereas the first aromatase inhibitors to be used therapeutically could be shown to produce drug-induced inhibition of the enzyme and therapeutic benefits in patients with breast cancer, they were not particularly potent and lacked specificity. However, second-generation drugs were developed and most recently third-generation inhibitors have evolved which possess remarkable specificity and potency. Initial results from clinical trials suggest that these agents will become the cornerstones of future endocrine therapy.
Aromatase Inhibitors
Many breast tumours are dependent upon oestrogen for their development and continued growth. Over the last 25 years hormone therapy has progressed from the irreversible destruction of endocrine glands to the use of drugs that reversibly suppress oestrogen synthesis or action. The inhibition of oestrogen synthesis is most readily achieved by inhibiting the final step in the pathway of oestrogen biosynthesis, the reaction which transforms androgens into oestrogens by creating an aromatic ring in the steroid molecule (hence the enzyme's trivial name, aromatase). Whereas the first aromatase inhibitors to be used therapeutically could be shown to produce drug-induced inhibition of the enzyme and therapeutic benefits in patients with breast cancer, they were not particularly potent and lacked specificity. However, second-generation drugs were developed and most recently third-generation inhibitors have evolved which possess remarkable specificity and potency. Initial results from clinical trials suggest that these agents will become the cornerstones of future endocrine therapy.
Advances in Breast Cancer Management, 2nd ed.
Advances in Breast Cancer Management, Second Edition will highlight many of the important advances that have transformed our understanding of the biology and therapeutics of breast cancer.
Accelerated Partial Breast Irradiation : Techniques and Clinical Implementation
Accelerated partial breast irradiation (APBI) is being rapidly introduced into the clinical management of early breast cancer. APBI, in fact, encompasses a number of different techniques and approaches that include brachytherapy, intraoperative, and external beam techniques. There is currently no single source that describes these techniques and their clinical implementation. This text will be a concise handbook designed to assist the clinician in the implementation of APBI.
Algorithms for Decision Making
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them.
Advancement of Deep Learning and its Applications in Object Detection and Recognition
In just the past five years, deep learning has taken the world by surprise, driving rapid progress in fields as diverse as computer vision, natural language processing, automatic speech recognition, etc. This book presents an introduction to deep learning and various applications of deep learning such as recommendation systems, text recognition, diabetic retinopathy prediction of breast cancer, prediction of epilepsy, sentiment, fake news detection, software defect prediction and protein function prediction.
