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Trends in Plant Science
|
October 27, 2024
Machine learning algorithms translate big data into predictive breeding accuracy
José Crossa, Osval A Montesinos-Lopez, Germano Costa-Neto, et al.
Stroke
|
September 7, 2013
Apolipoprotein E, statins, and risk of intracerebral hemorrhage
Daniel Woo, Ranjan Deka, Guido J Falcone, et al.
Journal of Strength and Conditioning Research
|
November 25, 2020
Body Composition in Elite Strongman Competitors
William J Kraemer, Lydia K Caldwell, Emily M Post, et al.
Trends in Plant Science
|
January 31, 2025
Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software
José Crossa, Johannes W R Martini, Paolo Vitale, et al.
Nature Communications
|
August 4, 2018
Targeting myelin lipid metabolism as a potential therapeutic strategy in a model of CMT1A neuropathy
R Fledrich, T Abdelaal, L Rasch, et al.
Neurobiology of Disease
|
January 1, 1997
Advances in Charcot-Marie-Tooth disease research: cellular function of CMT-related proteins, transgenic animal models, and pathomechanisms. The European CMT Consortium
H W Müller, U Suter, C Van Broeckhoven, et al.
Neurology
|
March 28, 2024
Trends Over Time in Stroke Incidence by Race in the Greater Cincinnati Northern Kentucky Stroke Study
Tracy E Madsen, Lili Ding, Jane C Khoury, et al.
Neurology
|
May 17, 2024
Impact of Poverty on Stroke Recurrence: A Population-Based Study
Christopher J Becker, Heidi Sucharew, David Robinson, et al.
Neurology
|
July 15, 2024
Temporal Trends and Racial Disparities in Long-Term Survival After Stroke
David J Robinson, Lili Ding, George Howard, et al.
Journal of the American Heart Association
|
May 3, 2024
Racial Disparities in Blood Pressure at Time of Acute Ischemic Stroke Presentation: A Population Study
Yasmin N Aziz, Heidi Sucharew, Robert J Stanton, et al.
Page
of 24
Search research articles
Search
Showing results (221-230 of 233) with videos related to
Sort By:
Page
of 24
Trends in Plant Science
|
October 27, 2024
Machine learning algorithms translate big data into predictive breeding accuracy
José Crossa, Osval A Montesinos-Lopez, Germano Costa-Neto, et al.
Stroke
|
September 7, 2013
Apolipoprotein E, statins, and risk of intracerebral hemorrhage
Daniel Woo, Ranjan Deka, Guido J Falcone, et al.
Journal of Strength and Conditioning Research
|
November 25, 2020
Body Composition in Elite Strongman Competitors
William J Kraemer, Lydia K Caldwell, Emily M Post, et al.
Trends in Plant Science
|
January 31, 2025
Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software
José Crossa, Johannes W R Martini, Paolo Vitale, et al.
Nature Communications
|
August 4, 2018
Targeting myelin lipid metabolism as a potential therapeutic strategy in a model of CMT1A neuropathy
R Fledrich, T Abdelaal, L Rasch, et al.
Neurobiology of Disease
|
January 1, 1997
Advances in Charcot-Marie-Tooth disease research: cellular function of CMT-related proteins, transgenic animal models, and pathomechanisms. The European CMT Consortium
H W Müller, U Suter, C Van Broeckhoven, et al.
Neurology
|
March 28, 2024
Trends Over Time in Stroke Incidence by Race in the Greater Cincinnati Northern Kentucky Stroke Study
Tracy E Madsen, Lili Ding, Jane C Khoury, et al.
Neurology
|
May 17, 2024
Impact of Poverty on Stroke Recurrence: A Population-Based Study
Christopher J Becker, Heidi Sucharew, David Robinson, et al.
Neurology
|
July 15, 2024
Temporal Trends and Racial Disparities in Long-Term Survival After Stroke
David J Robinson, Lili Ding, George Howard, et al.
Journal of the American Heart Association
|
May 3, 2024
Racial Disparities in Blood Pressure at Time of Acute Ischemic Stroke Presentation: A Population Study
Yasmin N Aziz, Heidi Sucharew, Robert J Stanton, et al.
Page
of 24