Investigating Human Cancer With Computational Intelligence Techniques
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Investigating Human Cancer With Computational Intelligence Techniques
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Author : Alfredo Vellido
language : en
Publisher: Lulu.com
Release Date : 2010-08
Investigating Human Cancer With Computational Intelligence Techniques written by Alfredo Vellido and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08 with Science categories.
Human cancer is at an important frontier of medical research, and one where Computational Intelligence methods have made substantial inroads in recent years. Computational Intelligence research in cancer now reaches all biological scales from human population down to the phenotype and genotype. It is also fair to say that it reaches the complete range of cancer pathologies. This book does not aim to achieve such completeness of coverage. Instead, the studies included in it should provide readers with a broad palette and a hopefully useful taster of what Computational Intelligence methods can achieve in the field. This volume contains an overview of the field and a collection of eight leading-edge studies from research teams composed of experts in the field on various aspects of the subject.
Computational Intelligence Methods For Bioinformatics And Biostatistics
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Author : Maria Raposo
language : en
Publisher: Springer Nature
Release Date : 2020-01-22
Computational Intelligence Methods For Bioinformatics And Biostatistics written by Maria Raposo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-22 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 15th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics., CIBB 2018, held in Caparica, Portugal, in September 2018. The 32 revised full papers were carefully reviewed and selected from 51 submissions. The papers present current trends at the edge of computer and life sciences, the application of computational intelligence to a system and synthetic biology and the consequent impact on innovative medicine were presented. Theoretical and experimental biologists also presented novel challenges and fostered multidisciplinary collaboration aiming to blend theory and practice, where the founding theories of the techniques used for modelling and analyzing biological systems are investigated and used for practical applications and the supporting technologies.
Artificial Intelligence For Translational Pharmacology
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Author : Zhi-Liang Ji
language : en
Publisher: Frontiers Media SA
Release Date : 2020-07-28
Artificial Intelligence For Translational Pharmacology written by Zhi-Liang Ji and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-28 with categories.
Advances In Computational Intelligence Techniques
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Author : Shruti Jain
language : en
Publisher: Springer Nature
Release Date : 2020-02-20
Advances In Computational Intelligence Techniques written by Shruti Jain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-20 with Technology & Engineering categories.
This book highlights recent advances in computational intelligence for signal processing, computing, imaging, artificial intelligence, and their applications. It offers support for researchers involved in designing decision support systems to promote the societal acceptance of ambient intelligence, and presents the latest research on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field. As such, it offers a valuable resource for researchers, developers and educators whose work involves recent advances and emerging technologies in computational intelligence.
Investigations Into The Potential Benefits Of Artificial Intelligence And Deep Learning To Surgical Oncologists
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Author : Marco Scarpa
language : en
Publisher: Frontiers Media SA
Release Date : 2023-08-11
Investigations Into The Potential Benefits Of Artificial Intelligence And Deep Learning To Surgical Oncologists written by Marco Scarpa and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-11 with Medical categories.
Computational power has risen exponentially in recent decades, providing new opportunities in many fields, including that of surgical oncology. One branch of information technology permeating many aspects of healthcare is artificial intelligence (AI), and the incorporation of deep learning neural networks into clinical care. AI enables the computational analysis of vast amounts of data, and the learned ability to contextualize this information digitally through sophisticated algorithms, opening a number of opportunities in the clinical setting. This Research Topic aims to bring together the latest research in the field to demonstrate how these tools can be of benefit to surgical oncologists and patients alike. Oncological surgeons are tasked with making difficult clinical decisions, simultaneously weighing up patient data with expected outcomes, whilst keeping in mind the risks of subsequent morbidity and mortality. Incorporating deep learning algorithms in this field would enable mass clinical, biochemical, and radiological data analysis with numerous potential benefits. Current algorithms have been shown to be efficacious and efficient in making prognostic predictions and making post-surgical outcome assessments using data from various sources. This Research Topic invites manuscript submissions which demonstrate utilizations of AI as a tool to support surgical oncologists through their advanced data analysis capabilities. Manuscript submissions which showcase new opportunities for the incorporation of these systems into surgical practice are welcome, as well as how AI can support clinical decision making, and be used in the training of new oncological surgeons.
Innovative Methods In Computer Science And Computational Applications In The Era Of Industry 5 0
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Author : D. Jude Hemanth
language : en
Publisher: Springer Nature
Release Date : 2024-04-05
Innovative Methods In Computer Science And Computational Applications In The Era Of Industry 5 0 written by D. Jude Hemanth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-05 with Computers categories.
This book provides a wide collection of the recent studies triggering innovative ways to advance computer science and computational applications. The collection enables readers to understand more about technological conditions advancing industrial perspectives towards Industry 5.0. The research studies included in the book were accepted and presented in the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2023), which was held in Belek, Antalya, Turkey (on 3–4–5 November 2023). By covering the scientific scope of the conference, the book informs the readers about the cutting-edge data-driven solution aspects, intelligent algorithms, and mathematical background applied for solving different kinds of engineering problems. The book is used as a reference source by the wide readership including international researchers, professionals, practitioners from industry, degree students, and experts from all engineering disciplines.
Computational Intelligence And Bioinformatics
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Author : De-Shuang Huang
language : en
Publisher: Springer
Release Date : 2006-09-01
Computational Intelligence And Bioinformatics written by De-Shuang Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-01 with Computers categories.
This book constitutes the refereed proceedings of the International Conference on Intelligent Computing, ICIC 2006, held in Kunming, China, in August 2006. The book presents 165 revised full papers, carefully reviewed. Topics covered include ant colony optimization, particle swarm optimization, swarm intelligence, autonomy-oriented computing, quantum and molecular computations, biological and DNA computing, intelligent computing in bioinformatics, intelligent computing in computational biology and drug design, computational genomics and proteomics, and more.
Computational Intelligence In Oncology
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Author : Khalid Raza
language : en
Publisher: Springer Nature
Release Date : 2022-03-01
Computational Intelligence In Oncology written by Khalid Raza and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Technology & Engineering categories.
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.
Computational Intelligence Methods For Bioinformatics And Biostatistics
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Author : Elia Biganzoli
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-11
Computational Intelligence Methods For Bioinformatics And Biostatistics written by Elia Biganzoli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-11 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the 8th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2011, held in Gargnano del Garda, Italy, in June/July 2011. The 19 papers, presented together with 2 keynote speeches, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on statistical learning, genomics, computational intelligence for health at the edge, proteomics, intelligent clinical decision support systems (i-CDSS), bioinformatics, and data clustering.
Aligning Artificial Intelligence With Organizational Contexts Band 123 An Investigation Of Natural Language Processing In Clinical Healthcare
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Author : Marvin Böhmker
language : en
Publisher: Cuvillier Verlag
Release Date : 2025-03-06
Aligning Artificial Intelligence With Organizational Contexts Band 123 An Investigation Of Natural Language Processing In Clinical Healthcare written by Marvin Böhmker and has been published by Cuvillier Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 with categories.
Künstliche Intelligenz (KI) bietet enormes Potenzial, um Herausforderungen wie Fachkräftemangel und eine wachsende Zahl älterer Patientinnen und Patienten zu bewältigen. Gleichzeitig jedoch stellt die soziotechnische Einbettung von KI in Organisationen eine komplexe Aufgabe dar, deren Misslingen zu Wissensverlust oder Unzufriedenheit im Team führen kann. In dieser Dissertation werden die entscheidenden Komponenten dieses KI-Alignments systematisch untersucht. Vier Studien – davon zwei auf allgemeiner Ebene und zwei mit Fokus auf Natural Language Processing (NLP) im klinischen Bereich – beleuchten, wie KI und organisatorische Anforderungen bestmöglich aufeinander abgestimmt werden können. Dabei entsteht ein Rahmenwerk, das sowohl Forschenden als auch Praktikerinnen und Praktikern hilft, KI-Lösungen gezielt zu planen, zu integrieren und kontinuierlich zu verbessern. Zugleich eröffnet die Arbeit neue Perspektiven für Forschung und Anwendung, vor allem durch die Betrachtung von KI in spezifischen Kontexten und durch die gezielte Identifikation bisher unbeachteter Aspekte. Artificial Intelligence (AI) offers enormous potential for tackling challenges such as staffing shortages and a growing elderly population with increasing healthcare needs. However, effectively embedding AI in organizations is a complex sociotechnical endeavor; if misaligned, it can lead to knowledge loss or employee dissatisfaction. This dissertation systematically examines the key components of AI alignment. Four studies—two at a general level and two focused on Natural Language Processing (NLP) in clinical settings—explore how AI can best be harmonized with organizational requirements. The resulting framework supports researchers and practitioners alike in planning, integrating, and continuously refining AI solutions. Moreover, this work opens new horizons in research and practice by examining AI in specific contexts and identifying aspects that have received little attention thus far.