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S Grasso

Showing results (231-240 of 281) with videos related to

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European Journal of Endocrinology|April 2, 2010
The kidney in acromegaly: renal structure and function in patients with acromegaly during active disease and 1 year after disease remissionRenata S Auriemma, Mariano Galdiero, Maria C De Martino, et al.
Anesthesiology|October 25, 2000
Pressure-time curve predicts minimally injurious ventilatory strategy in an isolated rat lung modelV M Ranieri, H Zhang, L Mascia, et al.
Journal of Endocrinological Investigation|February 6, 2014
Pituitary tumors and pregnancy: the interplay between a pathologic condition and a physiologic statusRosario Pivonello, Maria Cristina De Martino, Renata S Auriemma, et al.
Neoplasia (New York, N.Y.)|December 2, 2011
Detection of somatic copy number alterations in cancer using targeted exome capture sequencingRobert J Lonigro, Catherine S Grasso, Dan R Robinson, et al.
Journal of Translational Medicine|April 7, 2019
Interleukin 32 expression in human melanomaHelicia Paz, Jennifer Tsoi, Anusha Kalbasi, et al.
Anesthesiology|June 6, 2019
Point of Care Ultrasound to Identify Diaphragmatic Dysfunction after Thoracic SurgeryS Spadaro, S Grasso, M Dres, et al.
Endocrine|June 14, 2016
Effects of long-term combined treatment with somatostatin analogues and pegvisomant on cardiac structure and performance in acromegalyRenata S Auriemma, Ludovica F S Grasso, Mariano Galdiero, et al.
Journal of Endocrinological Investigation|November 20, 2019
Association between biochemical control and comorbidities in patients with acromegaly: an Italian longitudinal retrospective chart review studyA Colao, L F S Grasso, M Di Cera, et al.
Molecular and Cellular Endocrinology|September 23, 2017
Integrated molecular analysis of Tamoxifen-resistant invasive lobular breast cancer cells identifies MAPK and GRM/mGluR signaling as therapeutic vulnerabilitiesHillary Stires, Mary M Heckler, Xiaoyong Fu, et al.
European Journal of Radiology|August 24, 2019
MR-based artificial intelligence model to assess response to therapy in locally advanced rectal cancerR Ferrari, C Mancini-Terracciano, C Voena, et al.
Pageof 29

Showing results (231-240 of 281) with videos related to

Sort By:
Pageof 29
European Journal of Endocrinology|April 2, 2010
The kidney in acromegaly: renal structure and function in patients with acromegaly during active disease and 1 year after disease remissionRenata S Auriemma, Mariano Galdiero, Maria C De Martino, et al.
Anesthesiology|October 25, 2000
Pressure-time curve predicts minimally injurious ventilatory strategy in an isolated rat lung modelV M Ranieri, H Zhang, L Mascia, et al.
Journal of Endocrinological Investigation|February 6, 2014
Pituitary tumors and pregnancy: the interplay between a pathologic condition and a physiologic statusRosario Pivonello, Maria Cristina De Martino, Renata S Auriemma, et al.
Neoplasia (New York, N.Y.)|December 2, 2011
Detection of somatic copy number alterations in cancer using targeted exome capture sequencingRobert J Lonigro, Catherine S Grasso, Dan R Robinson, et al.
Journal of Translational Medicine|April 7, 2019
Interleukin 32 expression in human melanomaHelicia Paz, Jennifer Tsoi, Anusha Kalbasi, et al.
Anesthesiology|June 6, 2019
Point of Care Ultrasound to Identify Diaphragmatic Dysfunction after Thoracic SurgeryS Spadaro, S Grasso, M Dres, et al.
Endocrine|June 14, 2016
Effects of long-term combined treatment with somatostatin analogues and pegvisomant on cardiac structure and performance in acromegalyRenata S Auriemma, Ludovica F S Grasso, Mariano Galdiero, et al.
Journal of Endocrinological Investigation|November 20, 2019
Association between biochemical control and comorbidities in patients with acromegaly: an Italian longitudinal retrospective chart review studyA Colao, L F S Grasso, M Di Cera, et al.
Molecular and Cellular Endocrinology|September 23, 2017
Integrated molecular analysis of Tamoxifen-resistant invasive lobular breast cancer cells identifies MAPK and GRM/mGluR signaling as therapeutic vulnerabilitiesHillary Stires, Mary M Heckler, Xiaoyong Fu, et al.
European Journal of Radiology|August 24, 2019
MR-based artificial intelligence model to assess response to therapy in locally advanced rectal cancerR Ferrari, C Mancini-Terracciano, C Voena, et al.
Pageof 29