Biocomputing 2020 - Proceedings of the Pacific Symposium

Biocomputing 2020 - Proceedings of the Pacific Symposium PDF Author: Russ B. Altman
Publisher: World Scientific Publishing Company
ISBN: 9789811215629
Category : Artificial intelligence
Languages : en
Pages : 0

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Book Description
The Pacific Symposium on Biocomputing (PSB) 2020 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2020 will be held on January 3 -7, 2020 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference. PSB 2020 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.

Biocomputing 2020 - Proceedings of the Pacific Symposium

Biocomputing 2020 - Proceedings of the Pacific Symposium PDF Author: Russ B. Altman
Publisher: World Scientific Publishing Company
ISBN: 9789811215629
Category : Artificial intelligence
Languages : en
Pages : 0

Get Book Here

Book Description
The Pacific Symposium on Biocomputing (PSB) 2020 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2020 will be held on January 3 -7, 2020 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference. PSB 2020 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.

Biocomputing 2022 - Proceedings Of The Pacific Symposium

Biocomputing 2022 - Proceedings Of The Pacific Symposium PDF Author: Russ B Altman
Publisher: World Scientific
ISBN: 9811250480
Category : Science
Languages : en
Pages : 380

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Book Description
The Pacific Symposium on Biocomputing (PSB) 2022 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2022 will be held on January 3 - 7, 2022 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2022 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's 'hot topics.' In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 PDF Author: Hayit Greenspan
Publisher: Springer Nature
ISBN: 3031438957
Category : Computers
Languages : en
Pages : 828

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Book Description
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.

The Semantic Web

The Semantic Web PDF Author: Albert Meroño Peñuela
Publisher: Springer Nature
ISBN: 3031606264
Category :
Languages : en
Pages : 367

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Pacific Symposium on Biocomputing 2020

Pacific Symposium on Biocomputing 2020 PDF Author: Russ Altman
Publisher:
ISBN: 9789811215636
Category : Biology
Languages : en
Pages :

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Big Data Analytics in Astronomy, Science, and Engineering

Big Data Analytics in Astronomy, Science, and Engineering PDF Author: Shelly Sachdeva
Publisher: Springer Nature
ISBN: 303158502X
Category :
Languages : en
Pages : 324

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Book Description


Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications

Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications PDF Author: João Valente Cordeiro
Publisher: Frontiers Media SA
ISBN: 2832537049
Category : Medical
Languages : en
Pages : 291

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Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020)

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020) PDF Author: Gabriella Panuccio
Publisher: Springer Nature
ISBN: 3030545687
Category : Technology & Engineering
Languages : en
Pages : 231

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Book Description
This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.

Digital Transformation in Healthcare 5.0

Digital Transformation in Healthcare 5.0 PDF Author: Rishabha Malviya
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111399117
Category : Computers
Languages : en
Pages : 480

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Book Description
The book "Digital Transformation in Healthcare 5.0: Metaverse, Nanorobots, and Machine Learning" is a comprehensive discussion of disruptive technologies and their applications in healthcare. The book starts with an overview of blockchain technology's impact on the healthcare sector, emphasizing its potential to improve data security and interoperability. The book also discusses the Metaverse's role in healthcare transformation, utilizing a blockchain method to improve patient care and medical practices. The book also focuses on the interrelationships of Blockchain-Enabled Metaverse Healthcare Systems and Applications, highlighting innovative strategies. It also introduces an Intraocular Pressure Monitoring System for Glaucoma Patients, demonstrating the integration of IoT and Machine Learning for improved care. The book winds up with a Machine Learning Approach to Voice Analysis in Parkinson's disease Diagnosis, demonstrating the potential of voice analysis as a non-invasive diagnostic tool.

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track PDF Author: Albert Bifet
Publisher: Springer Nature
ISBN: 3031703782
Category :
Languages : en
Pages : 521

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Book Description