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"Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides insights into the current strength and weaknesses of different applications and research findings on computational intelligence in cancer research. The book improves the exchange of ideas and coherence among various computational intelligence methods and enhances the relevance and exploitation of application areas for both experienced and novice end-users. Topics discussed include neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems.The book's chapters are written by international experts from both cancer research, oncology and computational sides to cover different aspects and make it comprehensible for readers with no background on informatics. Key Features: Contains updated information about advanced computational intelligence, spanning the areas of neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems in diagnosing cancer diseases. Discusses several cancer types, including their detection, treatment and prevention. Presents case studies that illustrate the applications of intelligent computing in data analysis to help readers to analyze and advance their research in cancer"--Provided by publisher.

Computational intelligence. --- Artificial Intelligence. --- Neoplasms --- Gene Expression Profiling. --- diagnosis. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Gene Expression Monitoring --- Transcriptome Analysis --- Gene Expression Analysis --- Gene Expression Pattern Analysis --- Transcript Expression Analysis --- Transcriptome Profiling --- Transcriptomics --- mRNA Differential Display --- Analyses, Gene Expression --- Analyses, Transcript Expression --- Analyses, Transcriptome --- Analysis, Gene Expression --- Analysis, Transcript Expression --- Analysis, Transcriptome --- Differential Display, mRNA --- Differential Displays, mRNA --- Expression Analyses, Gene --- Expression Analysis, Gene --- Gene Expression Analyses --- Gene Expression Monitorings --- Gene Expression Profilings --- Monitoring, Gene Expression --- Monitorings, Gene Expression --- Profiling, Gene Expression --- Profiling, Transcriptome --- Profilings, Gene Expression --- Profilings, Transcriptome --- Transcript Expression Analyses --- Transcriptome Analyses --- Transcriptome Profilings --- mRNA Differential Displays --- Gene Expression --- Oligonucleotide Array Sequence Analysis --- Transcriptome --- Subtractive Hybridization Techniques --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics --- Cancer --- Artificial Intelligence --- Diagnosis --- Data processing. --- diagnosis

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This book highlights the latest findings and techniques related to nutrition and feed efficiency in animal agriculture. It addresses the key challenges facing the nutrition industry to achieve high animal productivity with minimal environmental impact. The concept of smart nutrition involves the use of smart technologies in the feeding and management of livestock. The first chapters focus on advances in biological fields such as molecular agriculture and genotype selection, as well as technologies that enhance or enable the collection of relevant information. The next section highlights applications of smart nutrition in a variety of livestock systems, ranging from intensive indoor housing of broilers and pigs to extensive outdoor housing of cattle and sheep, and marine fish farms. Finally, because of the worldwide attention to this issue, the authors address the environmental consequences. This work, which takes a serious look at how nutrition can be used to improve sustainability in animal agriculture, is a key literature for readers in animal and veterinary sciences, the food industry, sustainability research, and agricultural engineering.

Veterinary medicine. --- Agriculture. --- Physiology. --- Agricultural genome mapping. --- Animal welfare—Moral and ethical aspects. --- Veterinary Science. --- Animal Physiology. --- Agricultural Genetics. --- Animal Ethics. --- Gene mapping --- Animal physiology --- Animals --- Biology --- Anatomy --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Farriery --- Large animal medicine --- Large animal veterinary medicine --- Livestock medicine --- Veterinary science --- Medicine --- Animal health --- Domestic animals --- Livestock --- Physiology --- Diseases --- Losses --- Sustainable agriculture.