Zobrazeno 1 - 10
of 5 656
pro vyhledávání: '"Kemppainen A"'
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Artificial intelligence (AI) chatbots have demonstrated proficiency in structured knowledge assessments; however, there is limited research on their performance in scenarios involving diagnostic uncertainty, which requires careful
Externí odkaz:
https://doaj.org/article/188969e7068948f18cf534dc779dc15e
Autor:
Jordan J. Winetrout, Krishan Kanhaiya, Joshua Kemppainen, Pieter J. in ‘t Veld, Geeta Sachdeva, Ravindra Pandey, Behzad Damirchi, Adri van Duin, Gregory M. Odegard, Hendrik Heinz
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract The simulation of chemical reactions and mechanical properties including failure from atoms to the micrometer scale remains a longstanding challenge in chemistry and materials science. Bottlenecks include computational feasibility, reliabili
Externí odkaz:
https://doaj.org/article/1382cf12fb32419ca1ed429f6a194f95
Publikováno v:
ACS Omega, Vol 9, Iss 34, Pp 36326-36340 (2024)
Externí odkaz:
https://doaj.org/article/1674f39ddb204309b125304d3d70e613
Autor:
Kalle Kemppainen, Kalle Kärhä, Juha Laitila, Antti Sairanen, Ville Kankaanhuhta, Heli Viiri, Heli Peltola
Publikováno v:
Silva Fennica, Vol 58, Iss 5 (2024)
The poor cost-effectiveness of mechanized planting (MECP) is the main reason for the low mechanization rate of planting. In this study, we investigated the productivity of the mechanized excavator-based planting of Norway spruce (Picea abies [L.] H.
Externí odkaz:
https://doaj.org/article/72548b2099a94c769ac8475717c1bfcd
Publikováno v:
Journal of Service Theory and Practice, 2024, Vol. 34, Issue 3, pp. 464-490.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JSTP-03-2023-0075
Autor:
Matheus V. M. B. Wilke, Eric W. Klee, Radhika Dhamija, Fernando C. Fervenza, Brittany Thomas, Nelson Leung, Marie C. Hogan, Megan M. Hager, Kayla J. Kolbert, Jennifer L. Kemppainen, Elle C. Loftus, Katie M. Leitzen, Carolyn R. Vitek, Tammy McAllister, Konstantinos N. Lazaridis, Filippo Pinto e Vairo
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Background Though next-generation sequencing (NGS) tests like exome sequencing (ES), genome sequencing (GS), and panels derived from exome and genome data (EGBP) are effective for rare diseases, the ideal diagnostic approach is debated. Limi
Externí odkaz:
https://doaj.org/article/972503d913ba4e5d89b1ba27347069e3
Autor:
Seungbaek Lee, Riikka K. Arffman, Elina K. Komsi, Outi Lindgren, Janette A. Kemppainen, Hanna Metsola, Henna-Riikka Rossi, Anne Ahtikoski, Keiu Kask, Merli Saare, Andres Salumets, Terhi T. Piltonen
Publikováno v:
Journal of Pathology Informatics, Vol 15, Iss , Pp 100380- (2024)
Background: Endometrial CD138+ plasma cells serve as a diagnostic biomarker for endometrial inflammation, and their elevated occurrence correlates positively with adverse pregnancy outcomes. Infertility-related conditions like polycystic ovary syndro
Externí odkaz:
https://doaj.org/article/ee3ff68e8a39428cbd37c25cc2f87886
Autor:
Seungbaek Lee, Riikka K. Arffman, Elina K. Komsi, Outi Lindgren, Janette Kemppainen, Keiu Kask, Merli Saare, Andres Salumets, Terhi T. Piltonen
Publikováno v:
Journal of Pathology Informatics, Vol 15, Iss , Pp 100364- (2024)
Background: The human endometrium undergoes a monthly cycle of tissue growth and degeneration. During the mid-secretory phase, the endometrium establishes an optimal niche for embryo implantation by regulating cellular composition (e.g., epithelial a
Externí odkaz:
https://doaj.org/article/eaa925db27354f4cb67635506b8628f3
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Autor:
Mark N. Levine, Joel Kemppainen, Morgan Rosenberg, Christopher Pettengell, Jessica Bogach, Tim Whelan, Ashirbani Saha, Jonathan Ranisau, Jeremy Petch
Publikováno v:
Learning Health Systems, Vol 8, Iss 3, Pp n/a-n/a (2024)
Abstract Purpose In a learning health system (LHS), data gathered from clinical practice informs care and scientific investigation. To demonstrate how a novel data and analytics platform can enable an LHS at a regional cancer center by characterizing
Externí odkaz:
https://doaj.org/article/287f4ddd174f4a22a16b9b50ea4502cd