Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Sergio Bacallado"'
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-18 (2024)
Abstract Neural processes (NPs) are models for meta-learning which output uncertainty estimates. So far, most studies of NPs have focused on low-dimensional datasets of highly-correlated tasks. While these homogeneous datasets are useful for benchmar
Externí odkaz:
https://doaj.org/article/7af6b203851343bab1c5e2ea91a17608
Autor:
Steffen Ventz, Sergio Bacallado, Rifaquat Rahman, Sara Tolaney, Jonathan D. Schoenfeld, Brian M. Alexander, Lorenzo Trippa
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-7 (2021)
Sharing early evidence, as a trial is ongoing, is fundamental for both physicians and patients to make enrollment decisions. Here, the authors report the results of a simulation study evaluating the potential effects of early release of interim effic
Externí odkaz:
https://doaj.org/article/5b2e148bb2bf42bea0f1cf4c30ece8d0
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e58699 (2013)
The large amount of molecular dynamics simulation data produced by modern computational models brings big opportunities and challenges to researchers. Clustering algorithms play an important role in understanding biomolecular kinetics from the simula
Externí odkaz:
https://doaj.org/article/c0f56c7786ee47f199fba0fdacef3772
Publikováno v:
Bayesian Analysis
Autor:
Miguel García-Ortegón, Gregor N. C. Simm, Austin J. Tripp, José Miguel Hernández-Lobato, Andreas Bender, Sergio Bacallado
Funder: Science and Technology Facilities Council
Funder: Wellcome Trust
The field of machine learning for drug discovery is witnessing an explosion of novel methods. These methods are often benchmarked on simple physicochemical properties
Funder: Wellcome Trust
The field of machine learning for drug discovery is witnessing an explosion of novel methods. These methods are often benchmarked on simple physicochemical properties
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7b4ba91d0002402e0306502e3641bb2
Autor:
Lorenzo Trippa, Sergio Bacallado
Publikováno v:
JAMA network open. 5(5)
Autor:
Nisha K. Ramakrishnan, Luxi Qiao, John T. O'Brien, David J. Williamson, Peter J. H. Scott, Franklin I. Aigbirhio, Stephen Thompson, Allen F. Brooks, Matthew Hird, David R. Owen, Sergio Bacallado
Funder: Herchel Smith Fellowship programme
PURPOSE: Positron emission tomography (PET) studies with radioligands for 18-kDa translocator protein (TSPO) have been instrumental in increasing our understanding of the complex role neuroinflammation
PURPOSE: Positron emission tomography (PET) studies with radioligands for 18-kDa translocator protein (TSPO) have been instrumental in increasing our understanding of the complex role neuroinflammation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c404ff6e150ffcc61ae283e9068a2ae3
http://hdl.handle.net/10044/1/91420
http://hdl.handle.net/10044/1/91420
Autor:
Rifaquat Rahman, Steffen Ventz, Lorenzo Trippa, Brian M. Alexander, Jonathan D. Schoenfeld, Sergio Bacallado, Sara M. Tolaney
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-7 (2021)
Nature Communications
Nature Communications
Most trials do not release interim summaries on efficacy and toxicity of the experimental treatments being tested, with this information only released to the public after the trial has ended. While early release of clinical trial data to physicians a
Autor:
Nisha K, Ramakrishnan, Matthew, Hird, Stephen, Thompson, David J, Williamson, Luxi, Qiao, David R, Owen, Allen F, Brooks, Peter J H, Scott, Sergio, Bacallado, John T, O'Brien, Franklin I, Aigbirhio
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging
Purpose Positron emission tomography (PET) studies with radioligands for 18-kDa translocator protein (TSPO) have been instrumental in increasing our understanding of the complex role neuroinflammation plays in disorders affecting the brain. However,
Publikováno v:
Eurosurveillance