Nathan Bollig (Former Employee)
Science and Products
Freshwater mussel viromes increase rapidly in diversity and abundance when hosts are released from captivity into the wild
Freshwater mussels create habitat, filter water, and enhance food webs, but they are also among the world’s most imperiled taxa. Conservation efforts largely rely on captive propagation in which mussels are grown in protected aquaculture environments (hatcheries) for later release. Recent evidence has highlighted the importance of pathogens in population losses of freshwater mussels. In response t
Authors
Jordan C. Richard, Tim W. Lane, Rose E. Agbalog, Sarah Colletti, Tiffany Leach, Christopher D. Dunn, Nathan Roy Bollig, Addison R. Plate, Joseph T. Munoz, Eric M. Leis, Susan Knowles, Isaac Standish, Diane L. Waller, Tony L. Golberg
Comparison of community practitioner and clinical educator expectations of veterinary graduates
One goal of veterinary curricular development and revision is to ensure graduating veterinarians meet entry-level competencies to perform successfully in their community. Most curricula are developed by clinical educators in a university setting; therefore, we must determine whether clinical educators can predict community practitioner expectations. This article evaluates practitioners’ expectatio
Authors
Amy Nichelason, Nathan Roy Bollig, Tom Bach, Molly Harris, Peggy Schmidt
Non-USGS Publications**
Nichelason, A, Bollig N, Bach T, Harris M, Schmidt P. Comparison of community practitioner and clinical educator expectations of veterinary graduates. Journal of Veterinary Medical Education. [Accepted, in press.]
Cernek P, Bollig N, Anklam K, Döpfer D. Hot topic: Detecting digital dermatitis with computer vision. Journal of Dairy Science. 2020;103: 9110–9115. doi:10.3168/jds.2019-17478
Baker LA, Momen M, Chan K, Bollig N, Lopes FB, Rosa GJM, et al. Bayesian and Machine Learning Models for Genomic Prediction of Anterior Cruciate Ligament Rupture in the Canine Model. G3: Genes | Genomes | Genetics. 2020;10: 2619. doi:10.1534/g3.120.401244
Bollig N, Clarke L, Elsmo E, Craven M. Machine learning for syndromic surveillance using veterinary necropsy reports. PLOS ONE. 2020;15: e0228105. doi:10.1371/journal.pone.0228105
Lu Z, Hong CC, Jark PC, Assumpção ALFV, Bollig N, Kong G, et al. JAK1/2 Inhibitors AZD1480 and CYT387 Inhibit Canine B-Cell Lymphoma Growth by Increasing Apoptosis and Disrupting Cell Proliferation. Journal of Veterinary Internal Medicine. 2017;31: 1804–1815. doi:10.1111/jvim.14837
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Freshwater mussel viromes increase rapidly in diversity and abundance when hosts are released from captivity into the wild
Freshwater mussels create habitat, filter water, and enhance food webs, but they are also among the world’s most imperiled taxa. Conservation efforts largely rely on captive propagation in which mussels are grown in protected aquaculture environments (hatcheries) for later release. Recent evidence has highlighted the importance of pathogens in population losses of freshwater mussels. In response t
Authors
Jordan C. Richard, Tim W. Lane, Rose E. Agbalog, Sarah Colletti, Tiffany Leach, Christopher D. Dunn, Nathan Roy Bollig, Addison R. Plate, Joseph T. Munoz, Eric M. Leis, Susan Knowles, Isaac Standish, Diane L. Waller, Tony L. Golberg
Comparison of community practitioner and clinical educator expectations of veterinary graduates
One goal of veterinary curricular development and revision is to ensure graduating veterinarians meet entry-level competencies to perform successfully in their community. Most curricula are developed by clinical educators in a university setting; therefore, we must determine whether clinical educators can predict community practitioner expectations. This article evaluates practitioners’ expectatio
Authors
Amy Nichelason, Nathan Roy Bollig, Tom Bach, Molly Harris, Peggy Schmidt
Non-USGS Publications**
Nichelason, A, Bollig N, Bach T, Harris M, Schmidt P. Comparison of community practitioner and clinical educator expectations of veterinary graduates. Journal of Veterinary Medical Education. [Accepted, in press.]
Cernek P, Bollig N, Anklam K, Döpfer D. Hot topic: Detecting digital dermatitis with computer vision. Journal of Dairy Science. 2020;103: 9110–9115. doi:10.3168/jds.2019-17478
Baker LA, Momen M, Chan K, Bollig N, Lopes FB, Rosa GJM, et al. Bayesian and Machine Learning Models for Genomic Prediction of Anterior Cruciate Ligament Rupture in the Canine Model. G3: Genes | Genomes | Genetics. 2020;10: 2619. doi:10.1534/g3.120.401244
Bollig N, Clarke L, Elsmo E, Craven M. Machine learning for syndromic surveillance using veterinary necropsy reports. PLOS ONE. 2020;15: e0228105. doi:10.1371/journal.pone.0228105
Lu Z, Hong CC, Jark PC, Assumpção ALFV, Bollig N, Kong G, et al. JAK1/2 Inhibitors AZD1480 and CYT387 Inhibit Canine B-Cell Lymphoma Growth by Increasing Apoptosis and Disrupting Cell Proliferation. Journal of Veterinary Internal Medicine. 2017;31: 1804–1815. doi:10.1111/jvim.14837
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government