Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jeremy M. Shaver"'
Autor:
Kenneth A Schenkman, David J Carlbom, Eileen M Bulger, Wayne A Ciesielski, Dana M Fisk, Kellie L Sheehan, Karin M Asplund, Jeremy M Shaver, Lorilee S L Arakaki
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0182351 (2017)
The aim of this pilot study was to evaluate the potential of a new noninvasive optical measurement of muscle oxygenation (MOx) to identify shock severity in patients with suspected sepsis.We enrolled 51 adult patients in the emergency department (ED)
Externí odkaz:
https://doaj.org/article/4e27f74e09254051a6b7cddf2863bcf2
Autor:
Jeffrey J. James, Alison J. Gillespie, Yuko Ogata, J. Alaina Floyd, Jeremy M. Shaver, Nancy S. Nightlinger, Richard S. Rogers, Unjy Park, Bruce A. Kerwin
Publikováno v:
Journal of Pharmaceutical Sciences
Formulation screening for biotherapeutics can cover a vast array of excipients and stress conditions. These studies consume quantities of limited material and, with higher concentrated therapeutics, more material is needed. Here, we evaluate the use
Autor:
Chelsey Bennett, Mcclure Megan J, Georgia D. Tomaras, Michael S. Seaman, Clark Rutilio H, Randal R. Ketchem, J. Alaina Floyd, Kelly E. Seaton, Christine C. Siska, Yan Brodsky, Jeremy M. Shaver, Bryan T. Mayer, Nicole L. Yates, Bruce A. Kerwin, Alison J. Gillespie
Publikováno v:
Journal of Pharmaceutical Sciences
The broadly neutralizing anti-HIV antibody, 10-1074, is a highly somatically hypermutated IgG1 being developed for prophylaxis in sub-Saharan Africa. A series of algorithms were applied to identify potentially destabilizing residues in the framework
Publikováno v:
Artificial Intelligence in Drug Design ISBN: 9781071617861
Deep learning applied to antibody development is in its adolescence. Low data volumes and biological platform differences make it challenging to develop supervised models that can predict antibody behavior in actual commercial development steps. But
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60a11e4ec4c89f34e7c684aa658cbe5b
https://doi.org/10.1007/978-1-0716-1787-8_19
https://doi.org/10.1007/978-1-0716-1787-8_19
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2390
Deep learning applied to antibody development is in its adolescence. Low data volumes and biological platform differences make it challenging to develop supervised models that can predict antibody behavior in actual commercial development steps. But
Autor:
Amimeur Tileli, Clark Rutilio H, Josh Smith, Danielle Van Citters, Bruce A. Kerwin, Jeremy M. Shaver, Randal R. Ketchem, Christine C. Siska, Smidt Pauline S, Megan Sprague, Dean Pettit, J. Alex Taylor
We demonstrate the use of a Generative Adversarial Network (GAN), trained from a set of over 400,000 light and heavy chain human antibody sequences, to learn the rules of human antibody formation. The resulting model surpasses common in silico techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c13fde634263f9f22e3613107036384e
Autor:
Barry M. Wise, Jeremy M. Shaver
Publikováno v:
Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XIX.
In-vivo examinations of cervical tissue were performed using Evoked Tissue Fluorescence (ETF) as part of a clinical trial. These examinations were performed in conjunction with conventional colposcopy, along with of biopsies of suspect cancerous or p
Autor:
Karin M. Asplund, Kenneth A. Schenkman, Dana M. Fisk, Kellie Sheehan, Lorilee S. L. Arakaki, Jeremy M. Shaver, Eileen M. Bulger, Wayne A. Ciesielski, David Carlbom
Publikováno v:
PLoS ONE
PLoS ONE, Vol 12, Iss 8, p e0182351 (2017)
PLoS ONE, Vol 12, Iss 8, p e0182351 (2017)
Purpose The aim of this pilot study was to evaluate the potential of a new noninvasive optical measurement of muscle oxygenation (MOx) to identify shock severity in patients with suspected sepsis. Methods We enrolled 51 adult patients in the emergenc
Publikováno v:
Journal of Chemometrics. 28:663-671
Maximum autocorrelation factors (MAF) and whitened principal components analysis are gaining popularity as tools for exploratory analysis of hyperspectral images. This paper shows that the two approaches are mathematically identical when signal and n
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 117:159-168
A problem with self-modeling mixture analysis solutions is the range of solutions that is generally possible. The range of solutions goes from those with high contrast spectra and low contrast contributions/images to solutions with high contrast cont