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Jonathan Shaw

Showing results (191-200 of 216) with videos related to

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BMC Public Health|November 5, 2013
Cluster randomised controlled trial of a peer-led lifestyle intervention program: study protocol for the Kerala diabetes prevention programThirunavukkarasu Sathish, Emily D Williams, Naanki Pasricha, et al.
Pediatric Obesity|February 21, 2022
Breastfeeding and infant growth in offspring of mothers with hyperglycaemia in pregnancy: The pregnancy and neonatal diabetes outcomes in remote Australia studyDanielle K Longmore, Angela Titmuss, Elizabeth Barr, et al.
Eclinicalmedicine|March 7, 2025
Use of artificial intelligence with retinal imaging in screening for diabetes-associated complications: systematic reviewQianhui Yang, Yong Mong Bee, Ciwei Cynthia Lim, et al.
Annals of Internal Medicine|September 17, 2009
Meta-analysis: retinal vessel caliber and risk for coronary heart diseaseKevin McGeechan, Gerald Liew, Petra Macaskill, et al.
American Journal of Epidemiology|November 4, 2009
Prediction of incident stroke events based on retinal vessel caliber: a systematic review and individual-participant meta-analysisKevin McGeechan, Gerald Liew, Petra Macaskill, et al.
Microbiologyopen|May 10, 2021
Gut dysbiosis and clinical phases of pancolitis in patients with ulcerative colitisBrenda Maldonado-Arriaga, Sergio Sandoval-Jiménez, Juan Rodríguez-Silverio, et al.
Journal of Bacteriology|September 19, 2006
Genome sequence of Aeromonas hydrophila ATCC 7966T: jack of all tradesRekha Seshadri, Sam W Joseph, Ashok K Chopra, et al.
The New Phytologist|August 16, 2022
Phylogenomic structure and speciation in an emerging model: the Sphagnum magellanicum complex (Bryophyta)A Jonathan Shaw, Bryan Piatkowski, Aaron M Duffy, et al.
Plos One|October 3, 2013
Plasma lipid profiling shows similar associations with prediabetes and type 2 diabetesPeter J Meikle, Gerard Wong, Christopher K Barlow, et al.
Lipids in Health and Disease|April 6, 2016
Lipidomic risk score independently and cost-effectively predicts risk of future type 2 diabetes: results from diverse cohortsManju Mamtani, Hemant Kulkarni, Gerard Wong, et al.
Pageof 22

Showing results (191-200 of 216) with videos related to

Sort By:
Pageof 22
BMC Public Health|November 5, 2013
Cluster randomised controlled trial of a peer-led lifestyle intervention program: study protocol for the Kerala diabetes prevention programThirunavukkarasu Sathish, Emily D Williams, Naanki Pasricha, et al.
Pediatric Obesity|February 21, 2022
Breastfeeding and infant growth in offspring of mothers with hyperglycaemia in pregnancy: The pregnancy and neonatal diabetes outcomes in remote Australia studyDanielle K Longmore, Angela Titmuss, Elizabeth Barr, et al.
Eclinicalmedicine|March 7, 2025
Use of artificial intelligence with retinal imaging in screening for diabetes-associated complications: systematic reviewQianhui Yang, Yong Mong Bee, Ciwei Cynthia Lim, et al.
Annals of Internal Medicine|September 17, 2009
Meta-analysis: retinal vessel caliber and risk for coronary heart diseaseKevin McGeechan, Gerald Liew, Petra Macaskill, et al.
American Journal of Epidemiology|November 4, 2009
Prediction of incident stroke events based on retinal vessel caliber: a systematic review and individual-participant meta-analysisKevin McGeechan, Gerald Liew, Petra Macaskill, et al.
Microbiologyopen|May 10, 2021
Gut dysbiosis and clinical phases of pancolitis in patients with ulcerative colitisBrenda Maldonado-Arriaga, Sergio Sandoval-Jiménez, Juan Rodríguez-Silverio, et al.
Journal of Bacteriology|September 19, 2006
Genome sequence of Aeromonas hydrophila ATCC 7966T: jack of all tradesRekha Seshadri, Sam W Joseph, Ashok K Chopra, et al.
The New Phytologist|August 16, 2022
Phylogenomic structure and speciation in an emerging model: the Sphagnum magellanicum complex (Bryophyta)A Jonathan Shaw, Bryan Piatkowski, Aaron M Duffy, et al.
Plos One|October 3, 2013
Plasma lipid profiling shows similar associations with prediabetes and type 2 diabetesPeter J Meikle, Gerard Wong, Christopher K Barlow, et al.
Lipids in Health and Disease|April 6, 2016
Lipidomic risk score independently and cost-effectively predicts risk of future type 2 diabetes: results from diverse cohortsManju Mamtani, Hemant Kulkarni, Gerard Wong, et al.
Pageof 22