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Research in Computational Molecular Biology
  • Language: en
  • Pages: 480

Research in Computational Molecular Biology

  • Type: Book
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  • Published: 2014-02-28
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 18th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2014, held in Pittsburgh, PA, USA, in April 2014. The 35 extended abstracts were carefully reviewed and selected from 154 submissions. They report on original research in all areas of computational molecular biology and bioinformatics.

Research in Computational Molecular Biology
  • Language: en
  • Pages: 547

Research in Computational Molecular Biology

This book constitutes the refereed proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2009, held in Tucson, Arisona, USA in May 2009. The 37 revised full papers presented were carefully reviewed and selected from 166 submissions. As the top conference in computational molecular biology, RECOMB addresses all current issues in algorithmic, theoretical, and experimental bioinformatics such as molecular sequence analysis, recognition of genes and regulatory elements, molecular evolution, protein structure, structural genomics, gene expression, gene networks, drug design, combinatorial libraries, computational proteomics, as well as structural and functional genomics.

Artificial Intelligence In Radiation Oncology
  • Language: en
  • Pages: 393

Artificial Intelligence In Radiation Oncology

The clinical use of Artificial Intelligence (AI) in radiation oncology is in its infancy. However, it is certain that AI is capable of making radiation oncology more precise and personalized with improved outcomes. Radiation oncology deploys an array of state-of-the-art technologies for imaging, treatment, planning, simulation, targeting, and quality assurance while managing the massive amount of data involving therapists, dosimetrists, physicists, nurses, technologists, and managers. AI consists of many powerful tools which can process a huge amount of inter-related data to improve accuracy, productivity, and automation in complex operations such as radiation oncology.This book offers an ar...

Research in Computational Molecular Biology
  • Language: en
  • Pages: 495

Research in Computational Molecular Biology

This book constitutes the refereed proceedings of the 12th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2008. It presents current issues in algorithmic, theoretical, and experimental bioinformatics.

AACR 2022 Proceedings: Part A Online-Only and April 10
  • Language: en
  • Pages: 2287

AACR 2022 Proceedings: Part A Online-Only and April 10

The AACR Annual Meeting is the focal point of the cancer research community, where scientists, clinicians, other health care professionals, survivors, patients, and advocates gather to share the latest advances in cancer science and medicine. From population science and prevention; to cancer biology, translational, and clinical studies; to survivorship and advocacy; the AACR Annual Meeting highlights the work of the best minds in cancer research from institutions all over the world.

Research in Computational Molecular Biology
  • Language: en
  • Pages: 595

Research in Computational Molecular Biology

  • Type: Book
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  • Published: 2010-05-09
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  • Publisher: Springer

This volume contains the papers presented at RECOMB 2010: the 14th Annual International Conference on Research in Computational Molecular Biology held in Lisbon, Portugal, during April 25–28, 2010. The RECOMB conference series was started in 1997 by Sorin Istrail, Pavel Pevzner, and Michael Waterman. RECOMB 2010 was hosted by INESC-ID and Instituto Superior Tecnico, or- nized by a committee chaired by Arlindo Oliveira and took place at the Int- national Fair of Lisbon Meeting Centre. This year, 36 papers were accepted for presentation out of 176 submissions. The papers presented were selected by the Program Committee (PC) assisted by a number of external reviewers. Each paper was reviewed ...

Machine Learners
  • Language: en
  • Pages: 269

Machine Learners

  • Type: Book
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  • Published: 2017-11-16
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  • Publisher: MIT Press

If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esote...