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  1. 1221
    “…This book is intended for graduate students and researchers in the field of bioengineering, applied mathematics, computer, computational and data science, and medicine wishing to become involved in the highly fascinating task of modeling the cardiovascular system.…”
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    Mathematical and numerical modeling of the cardiovascular system and applications
  2. 1222
    “…Nonlinear combinatorial optimization is a new research area within combinatorial optimization and includes numerous applications to technological developments, such as wireless communication, cloud computing, data science, and social networks. Theoretical developments including discrete Newton methods, primal-dual methods with convex relaxation, submodular optimization, discrete DC program, along with several applications are discussed and explored in this book through articles by leading experts.…”
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    Nonlinear combinatorial optimization
  3. 1223
    “…Mariana Pinto da Costa and Robert Stewart provide commentary on a large prospective panel survey of mental health during the pandemic and consider the implications of such data science initiatives.…”
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    Online Artículo Texto
    Investigating time-dependent COVID-19 pandemic mental health data: Challenges and opportunities of using panel data analysis
  4. 1224
    por Chandler, Rebecca E.
    Publicado 2020
    “…The incorporation of concepts and tools within the fields of data science and systems immunology can be used to propel vaccine safety monitoring into the twenty-first century.…”
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    Online Artículo Texto
    Optimizing safety surveillance for COVID-19 vaccines
  5. 1225
    “…Standardized data on human limits would be valuable in many domains but is not available. The data science community has to work on collecting and aggregating such data in a common and widely available format, so that any AI researcher can easily look up the applicable limit measurements for their latest project.…”
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    Online Artículo Texto
    Artificial Stupidity: Data We Need to Make Machines Our Equals
  6. 1226
    por Carpenter, Anne E.
    Publicado 2020
    “…Why would a researcher move outside their comfort zone into a different field, from a domain into data science? What is the best way to bridge domain and data? …”
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    Online Artículo Texto
    Bridging Domain and Data
  7. 1227
    “…He, DeWolf, and Supic introduce us with their viewpoint about “data science” and its role in their research. In their recent work published in this issue of Patterns, they tackle the inverse kinematics problem using brain-inspired neuronal architectures.…”
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    Online Artículo Texto
    Walking on the thin intersectional lines of disciplines
  8. 1228
    “…They talk about their view of data science and the evolution of pathology in the coming years.…”
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    Online Artículo Texto
    Oner, Sung, and Lee: Researchers in digital pathology for the future of modern medicine
  9. 1229
    por Xu, Zhiping
    Publicado 2022
    “…Xu talks about the role of data science in his research and the ongoing process of turning into a data scientist.…”
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    Online Artículo Texto
    Physical scientist or a data scientist? A journey between disciplines
  10. 1230
    “…They discuss the role of mathematical modeling in translational cancer research and clinical decision making and describe how mathematical modeling fits into the data science definition.…”
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    Online Artículo Texto
    Developing tools for analyzing and viewing multiplexed images
  11. 1231
    “…The combination of data science, cloud deployment options and associated economics allows to burst out heterogeneously, exploring the full potential of cloud-based services.…”
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    Accelerating GAN training using highly parallel hardware on public cloud
  12. 1232
    “…Based on our reviews of positioning technologies and emerging data science themes, we present a hierarchical model for collecting and sharing data in forest and fire management, and more broadly in the field of natural resources. …”
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    Online Artículo Texto
    Positioning Methods and the Use of Location and Activity Data in Forests
  13. 1233
    “…Advances in remote sensing combined with the emergence of sophisticated methods for large-scale data analytics from the field of data science provide new methods to model complex interactions in biological systems. …”
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    Online Artículo Texto
    Forest-Scale Phenotyping: Productivity Characterisation Through Machine Learning
  14. 1234
    “…There is an urgent need to train radiation oncologists and medical physicists in data science to help shepherd AI solutions into clinical practice. …”
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    Online Artículo Texto
    National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation
  15. 1235
    “…OBJECTIVE: The goal of the research was to generate reproducible machine learning modules for lung cancer detection and compare the approaches and performances of the award-winning algorithms developed in the Kaggle Data Science Bowl. METHODS: We obtained the source codes of all award-winning solutions of the Kaggle Data Science Bowl Challenge, where participants developed automated CT evaluation methods to detect lung cancer (training set n=1397, public test set n=198, final test set n=506). …”
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    Online Artículo Texto
    Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation
  16. 1236
    por Zanin, Massimiliano, Aitya, Nadim A.A., Basilio, José, Baumbach, Jan, Benis, Arriel, Behera, Chandan K., Bucholc, Magda, Castiglione, Filippo, Chouvarda, Ioanna, Comte, Blandine, Dao, Tien-Tuan, Ding, Xuemei, Pujos-Guillot, Estelle, Filipovic, Nenad, Finn, David P., Glass, David H., Harel, Nissim, Iesmantas, Tomas, Ivanoska, Ilinka, Joshi, Alok, Boudjeltia, Karim Zouaoui, Kaoui, Badr, Kaur, Daman, Maguire, Liam P., McClean, Paula L., McCombe, Niamh, de Miranda, João Luís, Moisescu, Mihnea Alexandru, Pappalardo, Francesco, Polster, Annikka, Prasad, Girijesh, Rozman, Damjana, Sacala, Ioan, Sanchez-Bornot, Jose M., Schmid, Johannes A., Sharp, Trevor, Solé-Casals, Jordi, Spiwok, Vojtěch, Spyrou, George M., Stalidzans, Egils, Stres, Blaž, Sustersic, Tijana, Symeonidis, Ioannis, Tieri, Paolo, Todd, Stephen, Van Steen, Kristel, Veneva, Milena, Wang, Da-Hui, Wang, Haiying, Wang, Hui, Watterson, Steven, Wong-Lin, KongFatt, Yang, Su, Zou, Xin, Schmidt, Harald H.H.W.
    Publicado 2021
    “…These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. …”
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    Online Artículo Texto
    An Early Stage Researcher's Primer on Systems Medicine Terminology
  17. 1237
    “…The use of information technology with a focus on fields such as data Science and machine learning can help in the fight against this pandemic. …”
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    Online Artículo Texto
    Forecast and prediction of COVID-19 using machine learning
  18. 1238
    “…The expanding interface between digital data science, emerging AI technologies and healthcare is creating a demand for AI technology literacy in health professions. …”
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    Online Artículo Texto
    Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey
  19. 1239
    por Belle, Vaishak, Papantonis, Ioannis
    Publicado 2021
    “…Discovering patterns and structures in large troves of data in an automated manner is a core component of data science, and currently drives applications in diverse areas such as computational biology, law and finance. …”
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    Online Artículo Texto
    Principles and Practice of Explainable Machine Learning
  20. 1240
    “…DISCUSSION/SIGNIFICANCE OF FINDINGS: Novel translational methods can be used to establish a learning environment and data science infrastructure that complements efforts of public health agencies to aid schools in the COVID-19 pandemic. …”
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    Online Artículo Texto
    50565 CTSA collaboration to support K-12 school re-opening in the COVID-19 pandemic
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