Zobrazeno 1 - 10
of 25
pro vyhledávání: '"787"'
Autor:
Ahmed Hosny, Danielle S Bitterman, Christian V Guthier, Jack M Qian, Hannah Roberts, Subha Perni, Anurag Saraf, Luke C Peng, Itai Pashtan, Zezhong Ye, Benjamin H Kann, David E Kozono, David Christiani, Paul J Catalano, Hugo J W L Aerts, Raymond H Mak
Publikováno v:
The Lancet Digital Health, 4(9), e657-e666. Lancet Publishing Group
BACKGROUND: Artificial intelligence (AI) and deep learning have shown great potential in streamlining clinical tasks. However, most studies remain confined to in silico validation in small internal cohorts, without external validation or data on real
Autor:
Jordi Landier, Jean-François Guégan, Jean Gaudart, Arnaud Fontanet, Sara Eyangoh, Kevin Carolan, Gaëtan Texier, Danny Lo Seen
Publikováno v:
PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases, 2014, ⟨10.1371/journal.pntd.0003123⟩
PLoS Neglected Tropical Diseases, Vol 8, Iss 9, p e3123 (2014)
PLoS Neglected Tropical Diseases, Public Library of Science, 2014, ⟨10.1371/journal.pntd.0003123⟩
PLoS Neglected Tropical Diseases, 2014, ⟨10.1371/journal.pntd.0003123⟩
PLoS Neglected Tropical Diseases, Vol 8, Iss 9, p e3123 (2014)
PLoS Neglected Tropical Diseases, Public Library of Science, 2014, ⟨10.1371/journal.pntd.0003123⟩
Background Buruli ulcer (BU) is an extensively damaging skin infection caused by Mycobacterium ulcerans, whose transmission mode is still unknown. The focal distribution of BU and the absence of interpersonal transmission suggest a major role of envi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3650eff48aef9231bcf48bfb8d9e22fe
https://hal-amu.archives-ouvertes.fr/hal-01307475
https://hal-amu.archives-ouvertes.fr/hal-01307475
Publikováno v:
Pacing and Clinical Electrophysiology. 43:462-470
Background Premature ventricular complexes (PVCs) are an important therapeutic target in symptomatic patients and in the setting of PVC-induced cardiomyopathy; however, measuring burden and therapeutic response is challenging. We developed and valida
Autor:
Artur Dubrawski, Joo Heung Yoon, Gilles Clermont, Lujie Chen, Lidan Mu, Marilyn Hravnak, Michael R. Pinsky
Publikováno v:
Journal of Clinical Monitoring and Computing
Tachycardia is a strong though non-specific marker of cardiovascular stress that proceeds hemodynamic instability. We designed a predictive model of tachycardia using multi-granular intensive care unit (ICU) data by creating a risk score and dynamic
Publikováno v:
ACS Combinatorial Science. 21:323-335
[Image: see text] Evolving specific molecular recognition function of proteins requires strategic navigation of a complex mutational landscape. Protein scaffolds aid evolution via a conserved platform on which a modular paratope can be evolved to alt
Autor:
Tejas Gandhi, Ana Martinez-Val, Christian D. Kelstrup, Lynn Verbeke, Dorte B. Bekker-Jensen, Oliver M. Bernhardt, Lukas Reiter, Alexander Hogrebe, Jesper V. Olsen
Publikováno v:
Bekker-Jensen, D B, Bernhardt, O M, Hogrebe, A, Martinez-Val, A, Verbeke, L, Gandhi, T, Kelstrup, C D, Reiter, L & Olsen, J V 2020, ' Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries ', Nature Communications, vol. 11, no. 1, 787 . https://doi.org/10.1038/s41467-020-14609-1
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Quantitative phosphoproteomics has transformed investigations of cell signaling, but it remains challenging to scale the technology for high-throughput analyses. Here we report a rapid and reproducible approach to analyze hundreds of phosphoproteomes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e453d00707c07c35b75c671a2f2b94a
https://curis.ku.dk/portal/da/publications/rapid-and-sitespecific-deep-phosphoproteome-profiling-by-dataindependent-acquisition-without-the-need-for-spectral-libraries(c58b93b3-99f8-4b09-897a-9c279dc8d2c3).html
https://curis.ku.dk/portal/da/publications/rapid-and-sitespecific-deep-phosphoproteome-profiling-by-dataindependent-acquisition-without-the-need-for-spectral-libraries(c58b93b3-99f8-4b09-897a-9c279dc8d2c3).html
Autor:
L. Cara Jager, Annelie Slaar, Niels W. L. Schep, Romuald van Velde, Rick R. van Rijn, Mario Maas, Nico L. Sosef, Jan M. Ultee, Ewout W. Steyerberg, J. Carel Goslings, Abdelali Bentohami, Monique M. J. Walenkamp
Publikováno v:
Pediatric Radiology, 46(1), 50-60. Springer-Verlag
Pediatric Radiology
Pediatric radiology, 46(1), 50-60. Springer Verlag
Pediatric Radiology
Pediatric radiology, 46(1), 50-60. Springer Verlag
Background In most hospitals, children with acute wrist trauma are routinely referred for radiography. Objective To develop and validate a clinical decision rule to decide whether radiography in children with wrist trauma is required. Materials and m
Autor:
Khan A. Wahid, Melissa M. Arcand, Gazi M. E. Rahman, Rakibul Islam Chowdhury, Sally Vail, Anh Dinh, Hanif Ali Sohag
Publikováno v:
Sensors
Volume 20
Issue 3
Sensors, Vol 20, Iss 3, p 787 (2020)
Sensors (Basel, Switzerland)
Volume 20
Issue 3
Sensors, Vol 20, Iss 3, p 787 (2020)
Sensors (Basel, Switzerland)
A minirhizotron is an in situ root imaging system that captures components of root system architecture dynamics over time. Commercial minirhizotrons are expensive, limited to white-light imaging, and often need human intervention. The implementation
Autor:
Marco Chierici, Margherita Francescatto, Giuseppe Jurman, Nicole Bussola, Andrea Bizzego, Luca Cima, Marco Cristoforetti, Valerio Maggio, Cesare Furlanello
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 3, p e1006269 (2019)
Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is mastering computer vision tasks, its application to digital pathology is natural, with the promise of aiding in routine reporting and standardizing resu
Autor:
D. Gareth Evans, Jack Cuzick, Chao Wang, Susan M. Astley, Adam R. Brentnall, Elaine F. Harkness
Publikováno v:
Breast Cancer Research, Vol 19, Iss 1, Pp 1-13 (2017)
Wang, C, Brentnall, A, Cuzick, J, Harkness, E, Evans, D & Astley, S 2017, ' A novel and fully automated mammographic texture analysis for risk prediction : results from two case-control studies ', Breast Cancer Research, vol. 19 . https://doi.org/10.1186/s13058-017-0906-6
Breast Cancer Research : BCR
Wang, C, Brentnall, A, Cuzick, J, Harkness, E, Evans, D & Astley, S 2017, ' A novel and fully automated mammographic texture analysis for risk prediction : results from two case-control studies ', Breast Cancer Research, vol. 19 . https://doi.org/10.1186/s13058-017-0906-6
Breast Cancer Research : BCR
Background The percentage of mammographic dense tissue (PD) is an important risk factor for breast cancer, and there is some evidence that texture features may further improve predictive ability. However, relatively little work has assessed or valida