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Showing results (41-50 of 46) with videos related to

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Neuro-Oncology Advances|February 6, 2025
Ivosidenib for the treatment of IDH1-mutant glioma, grades 2-4: Tolerability, predictors of response, and outcomesTyler A Lanman, Gilbert Youssef, Raymond Huang, et al.
European Radiology|July 5, 2021
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical dataRobin Wang, Zhicheng Jiao, Li Yang, et al.
Medrxiv : the Preprint Server for Health Sciences|August 8, 2025
Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestriesAlicia Huerta-Chagoya, Joohyun Kim, Ravi Mandla, et al.
Nature Genetics|May 13, 2022
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translationAnubha Mahajan, Cassandra N Spracklen, Weihua Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences|April 10, 2023
Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complicationsKen Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, et al.
Nature|February 19, 2024
Genetic drivers of heterogeneity in type 2 diabetes pathophysiologyKen Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, et al.
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Showing results (41-50 of 46) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 46 results.
Neuro-Oncology Advances|February 6, 2025
Ivosidenib for the treatment of IDH1-mutant glioma, grades 2-4: Tolerability, predictors of response, and outcomesTyler A Lanman, Gilbert Youssef, Raymond Huang, et al.
European Radiology|July 5, 2021
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical dataRobin Wang, Zhicheng Jiao, Li Yang, et al.
Medrxiv : the Preprint Server for Health Sciences|August 8, 2025
Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestriesAlicia Huerta-Chagoya, Joohyun Kim, Ravi Mandla, et al.
Nature Genetics|May 13, 2022
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translationAnubha Mahajan, Cassandra N Spracklen, Weihua Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences|April 10, 2023
Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complicationsKen Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, et al.
Nature|February 19, 2024
Genetic drivers of heterogeneity in type 2 diabetes pathophysiologyKen Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, et al.
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