Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1957 to 1959 of 1959 entries
Sorted by: Best Match Show Resources per page
Extremely Preterm Infant Admissions Within the SafeBoosC-III Consortium During the COVID-19 Lockdown.

Frontiers in pediatrics

Rasmussen MI, Hansen ML, Pichler G, Dempsey E, Pellicer A, El-Khuffash A, A S, Piris-Borregas S, Alsina M, Cetinkaya M, Chalak L, Özkan H, Baserga M, Sirc J, Fuchs H, Ergenekon E, Arruza L, Mathur A, Stocker M, Otero Vaccarello O, Szczapa T, Sarafidis K, Królak-Olejnik B, Memisoglu A, Reigstad H, Rafińska-Ważny E, Hatzidaki E, Peng Z, Gkentzi D, Viellevoye R, De Buyst J, Mastretta E, Wang P, Hahn GH, Bender L, Cornette L, Tkaczyk J, Del Rio R, Fumagalli M, Papathoma E, Wilinska M, Naulaers G, Sadowska-Krawczenko I, Lecart C, Couce ML, Fredly S, Heuchan AM, Karen T, Greisen G.
PMID: 34322460
Front Pediatr. 2021 Jul 12;9:647880. doi: 10.3389/fped.2021.647880. eCollection 2021.

No abstract available.

Cite
Rasmussen MI, Hansen ML, Pichler G, et al. Extremely Preterm Infant Admissions Within the SafeBoosC-III Consortium During the COVID-19 Lockdown. Front Pediatr. 2021;9:647880doi: 10.3389/fped.2021.647880.
Rasmussen, M. I., Hansen, M. L., Pichler, G., Dempsey, E., Pellicer, A., El-Khuffash, A., A, S., Piris-Borregas, S., Alsina, M., Cetinkaya, M., Chalak, L., Özkan, H., Baserga, M., Sirc, J., Fuchs, H., Ergenekon, E., Arruza, L., Mathur, A., Stocker, M., Otero Vaccarello, O., Szczapa, T., Sarafidis, K., Królak-Olejnik, B., Memisoglu, A., Reigstad, H., Rafińska-Ważny, E., Hatzidaki, E., Peng, Z., Gkentzi, D., Viellevoye, R., De Buyst, J., Mastretta, E., Wang, P., Hahn, G. H., Bender, L., Cornette, L., Tkaczyk, J., Del Rio, R., Fumagalli, M., Papathoma, E., Wilinska, M., Naulaers, G., Sadowska-Krawczenko, I., Lecart, C., Couce, M. L., Fredly, S., Heuchan, A. M., Karen, T., & Greisen, G. (2021). Extremely Preterm Infant Admissions Within the SafeBoosC-III Consortium During the COVID-19 Lockdown. Frontiers in pediatrics, 9647880. https://doi.org/10.3389/fped.2021.647880
Rasmussen, Marie Isabel, et al. "Extremely Preterm Infant Admissions Within the SafeBoosC-III Consortium During the COVID-19 Lockdown." Frontiers in pediatrics vol. 9 (2021): 647880. doi: https://doi.org/10.3389/fped.2021.647880
Rasmussen MI, Hansen ML, Pichler G, Dempsey E, Pellicer A, El-Khuffash A, A S, Piris-Borregas S, Alsina M, Cetinkaya M, Chalak L, Özkan H, Baserga M, Sirc J, Fuchs H, Ergenekon E, Arruza L, Mathur A, Stocker M, Otero Vaccarello O, Szczapa T, Sarafidis K, Królak-Olejnik B, Memisoglu A, Reigstad H, Rafińska-Ważny E, Hatzidaki E, Peng Z, Gkentzi D, Viellevoye R, De Buyst J, Mastretta E, Wang P, Hahn GH, Bender L, Cornette L, Tkaczyk J, Del Rio R, Fumagalli M, Papathoma E, Wilinska M, Naulaers G, Sadowska-Krawczenko I, Lecart C, Couce ML, Fredly S, Heuchan AM, Karen T, Greisen G. Extremely Preterm Infant Admissions Within the SafeBoosC-III Consortium During the COVID-19 Lockdown. Front Pediatr. 2021 Jul 12;9:647880. doi: 10.3389/fped.2021.647880. eCollection 2021. PMID: 34322460; PMCID: PMC8310995.
Copy Download .nbib Format: NLM
Effects of Veverimer in Older Adults With CKD and Metabolic Acidosis.

Kidney medicine

Tangri N, Li E, Mathur V.
PMID: 34401740
Kidney Med. 2021 Jun 23;3(4):689-691. doi: 10.1016/j.xkme.2021.03.016. eCollection 2021.

No abstract available.

Cite
Tangri N, Li E, Mathur V. Effects of Veverimer in Older Adults With CKD and Metabolic Acidosis. Kidney Med. 2021;3(4):689-691doi: 10.1016/j.xkme.2021.03.016.
Tangri, N., Li, E., & Mathur, V. (2021). Effects of Veverimer in Older Adults With CKD and Metabolic Acidosis. Kidney medicine, 3(4), 689-691. https://doi.org/10.1016/j.xkme.2021.03.016
Tangri, Navdeep, et al. "Effects of Veverimer in Older Adults With CKD and Metabolic Acidosis." Kidney medicine vol. 3,4 (2021): 689-691. doi: https://doi.org/10.1016/j.xkme.2021.03.016
Tangri N, Li E, Mathur V. Effects of Veverimer in Older Adults With CKD and Metabolic Acidosis. Kidney Med. 2021 Jun 23;3(4):689-691. doi: 10.1016/j.xkme.2021.03.016. eCollection 2021. PMID: 34401740; PMCID: PMC8350841.
Copy Download .nbib Format: NLM
Neural network prediction of 30-day mortality following primary total hip arthroplasty.

Journal of orthopaedics

Fassihi SC, Mathur A, Best MJ, Chen AZ, Gu A, Quan T, Wang KY, Wei C, Campbell JC, Thakkar SC.
PMID: 34898926
J Orthop. 2021 Nov 25;28:91-95. doi: 10.1016/j.jor.2021.11.013. eCollection 2021.

PURPOSE: The purpose is to utilize an artificial neural network (ANN) model to determine the most important variables in predicting mortality following total hip arthroplasty (THA).METHODS: Patients that underwent primary THA were included from a national database. Demographic, preoperative,...

Cite
Fassihi SC, Mathur A, Best MJ, et al. Neural network prediction of 30-day mortality following primary total hip arthroplasty. J Orthop. 2021;28:91-95doi: 10.1016/j.jor.2021.11.013.
Fassihi, S. C., Mathur, A., Best, M. J., Chen, A. Z., Gu, A., Quan, T., Wang, K. Y., Wei, C., Campbell, J. C., & Thakkar, S. C. (2021). Neural network prediction of 30-day mortality following primary total hip arthroplasty. Journal of orthopaedics, 2891-95. https://doi.org/10.1016/j.jor.2021.11.013
Fassihi, Safa C, et al. "Neural network prediction of 30-day mortality following primary total hip arthroplasty." Journal of orthopaedics vol. 28 (2021): 91-95. doi: https://doi.org/10.1016/j.jor.2021.11.013
Fassihi SC, Mathur A, Best MJ, Chen AZ, Gu A, Quan T, Wang KY, Wei C, Campbell JC, Thakkar SC. Neural network prediction of 30-day mortality following primary total hip arthroplasty. J Orthop. 2021 Nov 25;28:91-95. doi: 10.1016/j.jor.2021.11.013. eCollection 2021. PMID: 34898926; PMCID: PMC8636995.
Copy Download .nbib Format: NLM
Showing 1957 to 1959 of 1959 entries