Filters








2,047,196 Hits in 6.5 sec

Learning From Errors: Response to Gefitinib in Kidney Urothelial Carcinoma With EGFR Mutations

M. Fiorentino, F. Giunchi, A. Altimari, P. Di Tullio, E. Gruppioni, G. Martorana, C. Pinto
2014 The Oncologist  
To our knowledge, we describe the first demonstration of clinical response to the anti-EGFR inhibitor gefitinib in a case of urothelial carcinoma of the renal pelvis harboring a rare EGFR double mutation  ...  Poor response raised the suspicion of metastatic origin of the lung masses from the kidney tumor, which was confirmed by the finding in the kidney tumor tissue of the same EGFR double mutations found in  ... 
doi:10.1634/theoncologist.2013-0346 pmid:24652385 pmcid:PMC3983821 fatcat:fnhxnt5jvjhk7oznzciuv52oge

Retrospective analysis of institutional scabies outbreaks from 1984 to 2013: lessons learned and moving forward

K. E. MOUNSEY, H. C. MURRAY, M. KING, F. OPRESCU
2016 Epidemiology and Infection  
In this paper, we describe key findings from a retrospective review of scabies outbreaks reported in the literature over the past 30 years.  ...  We contend that more research and practice emphasis must be paid to improve diagnostic methods, surveillance and control, health staff education and management of crusted scabies to prevent the development  ...  Years of publication were limited to a 30-year period, from 1984 to 2013, as previous reviews have examined reports prior to these dates. Veterinary outbreaks were excluded.  ... 
doi:10.1017/s0950268816000443 pmid:27019288 fatcat:qdxytkcabnbabeiyz2wwf2ncgm

A machine-learning classifier trained with microRNA ratios to distinguish melanomas from nevi [article]

Rodrigo Torres, Ursula E Lang, Miroslav Hejna, Samuel J Shelton, Nancy M Joseph, Alan Hunter Shain, Iwei Yeh, Maria L Wei, Michael C. Oldham, Boris C Bastian, Robert L Judson-Torres
2018 bioRxiv   pre-print
We applied a machine learning-based pipeline to identify a microRNA signature that separated melanomas from nevi and was unaffected by confounding variables, such as patient age and tumor cell content.  ...  In this study we quantified microRNAs by next-generation sequencing from melanomas and their adjacent benign precursor nevi.  ...  Acknowledgements This research was supported in part by NIH DP5OD019787 to R.L.J., the Sandler Foundation Program  ... 
doi:10.1101/507400 fatcat:njvcve5etrahvbzwoi4ckrsc3q

Using incentives to recruit physicians into behavioral trials: lessons learned from four studies

Deepika Mohan, Matthew R. Rosengart, Baruch Fischhoff, Derek C. Angus, David J. Wallace, Coreen Farris, Donald M. Yealy, Amber E. Barnato
2017 BMC Research Notes  
Objective: To describe lessons learned from the use of different strategies for recruiting physicians responsible for trauma triage, we summarize recruitment data from four behavioral trials run in the  ...  We recruited 989 physicians, asking each to complete a questionnaire or virtual simulation online.  ...  Rates of participation typically range from 35 to 54%.  ... 
doi:10.1186/s13104-017-3101-z pmid:29282154 pmcid:PMC5745997 fatcat:qafczmcnf5d25mwhrallmu5wfi

Transfer learning for galaxy morphology from one survey to another

H Domínguez Sánchez, M Huertas-Company, M Bernardi, S Kaviraj, J L Fischer, T M C Abbott, F B Abdalla, J Annis, S Avila, D Brooks, E Buckley-Geer, A Carnero Rosell (+47 others)
2018 Monthly notices of the Royal Astronomical Society  
A key question for using DL classifications in future Big Data surveys is how much of the knowledge acquired from an existing survey can be exported to a new dataset, i.e. if the features learned by the  ...  Deep Learning (DL) algorithms for morphological classification of galaxies have proven very successful, mimicking (or even improving) visual classifications.  ...  publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.  ... 
doi:10.1093/mnras/sty3497 fatcat:kizjyuofmjbehgggzfqdzlje5i

The 2015 Nepal Earthquake(s): Lessons Learned From the Disability and Rehabilitation Sector's Preparation for, and Response to, Natural Disasters

M. D. Landry, P. S. Sheppard, K. Leung, C. Retis, E. C. Salvador, S. R. Raman
2016 Physical Therapy  
of important lessons learned from the 2015 Nepal earthquake(s).  ...  This perspective article outlines lessons learned from Nepal that can be applied to future disasters to reduce overall disability-related outcomes and more fully integrate rehabilitation in preparation  ...  With the shift from high mortality to increased morbidity, along with the lessons learned from previous disasters (such as the 2010 earthquake in Haiti), the groundwork has been laid for mainstreaming  ... 
doi:10.2522/ptj.20150677 pmid:27277496 fatcat:6e2d6a72e5hqhfap25f64cfegu

Learning to work together – lessons from a reflective analysis of a research project on public involvement

A. Howe, E. Mathie, D. Munday, M. Cowe, C. Goodman, J. Keenan, S. Kendall, F. Poland, S. Staniszewska, P. Wilson
2017 Research Involvement and Engagement  
We used minutes, other written documents, and structured individual and group reflections to learn from our own experiences over time.  ...  2017) Learning to work together -lessons from a reflective analysis of a research project on public involvement. Research Involvement and Engagement, 3 (1). pp. 1-12. ISSN 2056-7529.  ...  and Sue Miller; to our funders: and all who contributed to RAPPORT.  ... 
doi:10.1186/s40900-016-0051-x pmid:29062526 pmcid:PMC5611599 fatcat:agdizrblfzdkplqgfb4bpklaw4

Erratum to: Addressing End-of-Life Care in Cancer Patients through "Ubuntu": Lessons Learned from Rwanda in Global Health Perspective of Humanity

C. R. Ntizimira, S. Ngizwenayo, E. L. Krakauer, M. L. Dunne, E. Esmaili
2017 Current Obstetrics and Gynecology Reports  
C o n s e q u e n t l y, r e f e r e n c e s 2 0 -2 3 s h o u l d b e renumbered to 21-24. The reference numbers in the text on pages 276-277 should re renumbered to 21-24 as well.  ...  Consequently, references 13-20 should be renumbered to 12-19. The citations 13-20 in the text from pages 275-276 should be renumbered to 12-19.  ... 
doi:10.1007/s13669-017-0195-1 fatcat:o4bneag37vhczoakkmyu5brwii

Achievements, experiences, and lessons learned from the European research infrastructure ERIGrid related to the validation of power and energy systems

T. I. Strasser, E. C. W. de Jong, M. Sosnina, J. E. Rodriguez-Seco, P. Kotsampopoulos, D. Babazadeh, K. Mäki, R. Bhandia, R. Brandl, C. Sandroni, K. Heussen, F. Coffele
2020 e & i Elektrotechnik und Informationstechnik  
Also, experiences and lessons learned are discussed and an outlook to future research needs is provided.  ...  In addition, an increase of new types of electric loads and a reduction of traditional production from bulk generation can be observed as well.  ...  © CIGRE -Reprint from www.cigre.org with kind permission e&i elektrotechnik und informationstechnik © CIGRE -Reprint from www.cigre.org with kind permission heft 0.0000 https://erigrid.eu  ... 
doi:10.1007/s00502-020-00843-4 fatcat:ovjobvbpnvaz3awnscoxwcmume

Learning and Memory Deficits Consequent to Reduction of the Fragile X Mental Retardation Protein Result from Metabotropic Glutamate Receptor-Mediated Inhibition of cAMP Signaling in Drosophila

A. K. Kanellopoulos, O. Semelidou, A. G. Kotini, M. Anezaki, E. M. C. Skoulakis
2012 Journal of Neuroscience  
olfactory associative learning and memory deficits.  ...  We used heterozygous mutants and targeted RNA interference-mediated abrogation in Drosophila to uncover molecular pathways affected by FMRP reduction.  ...  C, Conditional abrogation (30°C) of dfmr1 in the MBs with c772 impairs learning (open bar) and can be rescued by MPEP (gray bar) to control levels (black bars). n ϭ 10.  ... 
doi:10.1523/jneurosci.1347-12.2012 pmid:22993428 pmcid:PMC6621471 fatcat:vb4ax52p3rbszah5p6mmzahrxe

Conversion of Summer STEM Program from In-Person to Virtual Learning Offers Unexpected Positives and Pitfalls

Kevin J. Morris, Holly K. M. Brown, Brittany C. Swift, Emonie Q. Hall, Kathleen Umayam, Laura S. Tenenbaum, Nicole B. Ekanem, Swati B. Ramadorai, Emily E. Canas, Lily N. Shearer, Debra L. Yourick
2021 Journal of STEM outreach  
To make GEMS accessible to underserved and underrepresented populations, we recruit both students and NPMs from local, underserved communities and minority-serving institutions, while additionally broadcasting  ...  the opportunities to surrounding counties.  ...  NPMs ranged in age from 18 to 28 (m = 20 years, 7 months).  ... 
doi:10.15695/jstem/v4i4.10 fatcat:7rngwyyj2nf7ld4xr33secvhwa

Correction to: Project management lessons learned from the multicentre CYCLE pilot randomized controlled trial

Devin S. McCaskell, Alexander J. Molloy, Laura Childerhose, F. Aileen Costigan, Julie C. Reid, Magda McCaughan, France Clarke, Deborah J. Cook, Jill C. Rudkowski, Christopher Farley, Tim Karachi, Bram Rochwerg (+11 others)
2019 Trials  
Joe's Hamilton, 50 Charlton Ave E, Hamilton, ON L8N 4A6, Canada  ...  the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1186/s13063-019-3716-6 fatcat:aoyz7a4dknfs5pgh66njfw3vjy

An unsupervised learning approach to identify novel signatures of health and disease from multimodal data

Ilan Shomorony, Elizabeth T. Cirulli, Lei Huang, Lori A. Napier, Robyn R. Heister, Michael Hicks, Isaac V. Cohen, Hung-Chun Yu, Christine Leon Swisher, Natalie M. Schenker-Ahmed, Weizhong Li, Karen E. Nelson (+8 others)
2020 Genome Medicine  
We utilized a combination of unsupervised machine learning methods to identify multimodal biomarker signatures of health and disease risk.  ...  Our methodology and results demonstrate the potential of multimodal data integration, from the identification of novel biomarker signatures to a data-driven stratification of individuals into disease subtypes  ...  Acknowledgements The authors would like to acknowledge the individuals who participated in the study, and the numerous Health Nucleus and Human Longevity Inc. employees who were involved in interacting  ... 
doi:10.1186/s13073-019-0705-z pmid:31924279 pmcid:PMC6953286 fatcat:2r7bgha4a5at5cabr42adndmty

A-31Deficits and Failure to Recover from Proactive Semantic Interference on the Loewenstein-Acevedo Scales of Semantic Interference and Learning May Identify Elderly Persons at Risk for Early Alzheimer's Disease

M Gamez, M Pinjala, J Melo, A Peñate, A Raffo, R Curiel, C Wright, E Crocco, R Duara, D Loewenstein
2016 Archives of Clinical Neuropsychology  
Method: Thirty-two older adults with MCI and 44 cognitively normal (CN) participants (N = 76) were administered the LASSI-L, a novel list-learning test that is sensitive to PSI deficits and ability to  ...  Of all memory measures, failure to recover from PSI was most strongly related to ventricular dilatation (r = -.41; p < .001).  ...  Disease Gamez M, Pinjala M, Melo J, Peñate A, Raffo A, Curiel R, Wright C, Crocco E, Duara R, Loewenstein D Objective: Mild Cognitive Impairment (MCI) is a known risk factor for the development of Alzheimer's  ... 
doi:10.1093/arclin/acw043.31 fatcat:bt3v6ezhjzhvfpfcj777j3dqae

Final performance and lesson-learned of SAXO, the VLT-SPHERE extreme AO: from early design to on-sky results

T. Fusco, J.-F. Sauvage, C. Petit, A. Costille, K. Dohlen, D. Mouillet, J.-L. Beuzit, M. Kasper, M. Suarez, C. Soenke, E. Fedrigo, M. Downing (+18 others)
2014 Adaptive Optics Systems IV  
Finally, after 10 years of AO developments, from early design to final on-sky implementations, some critical system aspects as well as some important lesson-learned will be presented in the perspective  ...  The main requirements and system characteristics will be recalled and the full AO loop performance will be quantified and compared to original specifications.  ...  per degree and can represent up to 100% of the DM stroke itself for T° exceeding 18°C).  ... 
doi:10.1117/12.2055423 fatcat:r7gyypjnbrhwtpux2liwlmihni
« Previous Showing results 1 — 15 out of 2,047,196 results