Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Juergen A, Klenk"'
Autor:
Kyle A. O’Connell, Zelaikha B. Yosufzai, Ross A. Campbell, Collin J. Lobb, Haley T. Engelken, Laura M. Gorrell, Thad B. Carlson, Josh J. Catana, Dina Mikdadi, Vivien R. Bonazzi, Juergen A. Klenk
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-15 (2023)
Abstract Background As genome sequencing becomes better integrated into scientific research, government policy, and personalized medicine, the primary challenge for researchers is shifting from generating raw data to analyzing these vast datasets. Al
Externí odkaz:
https://doaj.org/article/754ff48ab5e94a3fa40fb2c075adbe3a
Autor:
Dina, Mikdadi, Kyle A, O'Connell, Philip J, Meacham, Madeleine A, Dugan, Michael O, Ojiere, Thaddeus B, Carlson, Juergen A, Klenk
Publikováno v:
Cancer Biomarkers. 33:173-184
BACKGROUND: Artificial intelligence (AI), including machine learning (ML) and deep learning, has the potential to revolutionize biomedical research. Defined as the ability to “mimic” human intelligence by machines executing trained algorithms, AI
Autor:
Juergen A. Klenk, Angela Maggio, Bhavani S. Singh, Erin N. Byrne, Erika Kim, Tanja M. Davidsen
Publikováno v:
Cancer Research. 83:6582-6582
Purpose: The volume of data produced by the biomedical research community continues to grow rapidly. Efficient collection, curation, and sharing of these data are expected to enable researchers to synthesize larger datasets and apply novel methods to
Autor:
Benjamin P. Kopchick, Laura K. Opsahl-Ong, Qinyan Pan, Michael W. Rutherford, Ulrike Wagner, Bhavani S. Singh, Scott Gustafson, Fred W. Prior, David A. Clunie, Juergen A. Klenk, Keyvan Farahani
Publikováno v:
Cancer Research. 83:6579-6579
Purpose: De-identification of cancer imaging data is vitally important for data sharing and the advancement of research, however it is a time consuming and complex process that limits access to new cancer data sets such as those shared through NCI's
Publikováno v:
Journal of Pharmaceutical Care & Health Systems. 3
Objective: Infections caused by multidrug resistant (MDR) Acinetobacter baumannii (ACB) are an increasing global problem. This review identifies and summarizes available research concerning resource utilization associated with MDR ACB, assesses stren
Publikováno v:
Value in Health. 18:A244-A245
Autor:
Richard Sedlak, Carolyn K Hulme-Lowe, Paul C. DeLeo, Svetlana Semenova, Juergen A. Klenk, Pete Carlson, Jordana K. Schmier
Publikováno v:
ClinicoEconomics and Outcomes Research: CEOR
Jordana K Schmier,1 Carolyn K Hulme-Lowe,1 Svetlana Semenova,2 Juergen A Klenk,3 Paul C DeLeo,4 Richard Sedlak,5 Pete A Carlson6 1Health Sciences, Exponent, Inc., Alexandria, VA, 2EcoSciences, Exponent, Inc., Maynard, MA, 3Health Sciences, Exponent,
Autor:
Jasmine D. Patel, Jordana K. Schmier, Pamela M. McMahon, Juergen A. Klenk, Arnold J. Greenspon, Edmund Lau
Publikováno v:
Journal of Cardiac Failure. 21:S61
Autor:
Juergen A, Klenk
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 356
Requirements for a flexible image analysis package for high content screening (HCS) are discussed. An overview of tools and techniques for image analysis and machine learning is given. Machine learning for classification and segmentation, the two fun