Results 21 to 30 of about 5,794,890 (214)

The influence of sex, age and season on the haematological profile of alpacas (Vicugna pacos) in Central Europe

Veterinární Medicína, 2015
The aim of this study was to establish reference intervals for the haematological profile of alpacas on the basis of a large population of clinically healthy animals, and to determine the influence of sex, age and season on these indicators.
T. Husakova, L. Pavlata, A. Pechova, L. Tichy, K. Hauptmanova   +4 more
doaj   +1 more source

The effect of freeze‐thaw cycles on determination of immunoreactive plasma adrenocorticotrophic hormone concentrations in horses

Journal of Veterinary Internal Medicine, 2020
Background Determination of plasma adrenocotrophic hormone (ACTH) concentration (endogenous or thyrotropin‐releasing hormone [TRH] stimulation test) is the most commonly used diagnostic test for pituitary pars intermedia dysfunction (PPID) in horses ...
Ke Hu, Allison J. Stewart, Ka Y. Yuen, Sophia Hinrichsen, Elizabeth L. Dryburgh, François‐René Bertin   +5 more
doaj   +1 more source

Establishment of the European College of Veterinary Clinical Pathology (ECVCP) and the current status of veterinary clinical pathology in Europe

, 2007
After 5 years of development, the European College of Veterinary Clinical Pathology (ECVCP) was formally recognized and approved on July 4, 2007 by the European Board of Veterinary Specialisation (EBVS), the European regulatory body that oversees ...
K. Papasouliotis, P. J. O'Brien, S. Paltrinieri, K. Thoren Tolling, P. Vajdovich, J. Pastor, A. Lanevschi Pietersma, N. B. Bauer, K. P. Freeman, A. L. Jensen, I. Schwendenwien, J. P. Braun, S. I. Thoresen, A. P. Bolliger, J. J. Cerón, M. Palm, J. Archer, C. Fournel Fleury, H. Tvedten, D. Ledieu, Z. S. Polizopoulou, T. Gaál   +21 more
core   +1 more source

Digital pathology and COVID-19 and future crises: pathologists can safely diagnose cases from home using a consumer monitor and a mini PC

, 2020
This article is made available for unrestricted research re-use and secondary analysis in any form or be any means with acknowledgement of the original source.
Scarpelli, Marina, Cimadamore, Alessia, Lopez-Beltran, Antonio, Cheng, Liang   +3 more
core   +1 more source

Machine learning for systems pathology [PDF]

, 2014
Systems pathology attempts to introduce more holistic approaches towards pathology and attempts to integrate clinicopathological information with “-omics” technology.
Verleyen, Wim
core   +2 more sources

Reference values for biochemical parameters in blood serum of young and adult alpacas (Vicugna pacos)

Animal, 2014
The aim of this study was to establish reference interval for biochemical parameters in blood of alpacas on the basis of large population of clinically healthy animals, and to determine the influence of sex, age and season on nitrogen and lipid ...
T. Husakova, L. Pavlata, A. Pechova, K. Hauptmanova, E. Pitropovska, L. Tichy   +5 more
doaj   +1 more source

Implementation of a Quality and Patient Safety Curriculum for Pathology Residency Training [PDF]

, 2021
Quality and Patient Safety education for resident physicians is necessary to prepare them for independent practice and to meet accreditation requirements.
Chute, Deborah J., Demkowicz, Ryan, Sapatnekar, Suneeti   +2 more
core   +1 more source

Pathophysiology and Clinical Characteristics of Neuropathies in COVID-19 Patients: A Narrative Review

Iatreia
Introduction: SARS-CoV-2 possesses neurotropic and neuroinvasive capabilities that can generate neurological manifestations; however, the identification of patients with peripheral nervous system manifestations may go unnoticed.
Calle-Meneses, Andrés, Calle-Vélez, Nicolás, Sierra-Aguilar, Carolina, González-Obando, Paulina, Vanegas-Múnera, Johanna Marcela   +4 more
doaj   +1 more source

MSH6 gene methylation on clinical pathology and diagnosis in retinoblastoma: a bioinformatics analysis [PDF]

International Journal of Ophthalmology
AIM: To explore the methylation status of MSH6 in retinoblastoma (RB) and its impact on clinicopathological features and diagnosis. METHODS: Differentially expressed genes were identified through bioinformatics screening of the GSE24673 and GSE125903 ...
Cheng-Fang Zhang, Liang Zhao, Tian-Ming Jian, Yu-Feng Guo   +3 more
doaj   +1 more source

Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade [PDF]

, 2023
BACKGROUND: Artificial intelligence (AI) is rapidly fuelling a fundamental transformation in the practice of pathology. However, clinical integration remains challenging, with no AI algorithms to date in routine adoption within typical anatomic pathology
McClintock, David, Sinard, John H, Hartman, D.J., Lennerz, Jochen, Cheng, J.Y., Cheng, Jerome Y., Aneiros-Fernández, J., Herrmann, Markus D., García Del Moral, R., Lennerz, Jochen K, Sánchez-Turrión, Víctor, Farris, Alton, Cheng, Jerome Y, Salama, Mohamed, Hartman, Douglas J., Karsan, Aly, Casado-Sánchez, César, Tuthill, J.M., Tuthill, J Mark, García del Moral, Raimundo, Williams, Bethany, Berbís, M Alvaro, Bychkov, Andrey, Bychkov, A., Sánchez-Turrión, V., Luna, Antonio, Hollemans, E., McClintock, David S., Farris AB, 3.r.d., Kriegsmann, Mark, Fraggetta, Filippo, Hartman, Douglas J, Luna, A., Shen, Jeanne, Herrmann, M.D., Farris, Alton B, Pantanowitz, L., Delahunt, B., Iczkowski, K.A., Eloy, Catarina, Fraggetta, F., Van der Laak, Jeroen, Salama, Mohamed E., Pantanowitz, Liron, Egevad, Lars, Sinard, John H., Lennerz, J.K., McClintock, D.S., Egevad, L., Eloy, C., Sinard, J.H., Tuthill, J. Mark, Hartman, Douglas, Herrmann, Markus, Cheng, Jerome, Iczkowski, Kenneth A., Hollemans, Eva, Berbís, M. Alvaro, Williams, B., Lennerz, Jochen K., Iczkowski, Kenneth, Casado-Sánchez, C., Tuthill, J, Aneiros-Fernández, José, Laak, J.A.W.M. van der, Karsan, A., Sinard, John, Farris, Alton B., McClintock, David S, Kriegsmann, M., Shen, J., Delahunt, Brett, Salama, Mohamed E, Berbís, M.A., Salama, M.E., Iczkowski, Kenneth A, Berbís, M, Herrmann, Markus D   +77 more
core   +3 more sources