2022
DOI: 10.2337/dc21-2216
|View full text |Cite
|
Sign up to set email alerts
|

ADA/EASD Precision Medicine in Diabetes Initiative: An International Perspective and Future Vision for Precision Medicine in Diabetes

Abstract: The Precision Medicine in Diabetes Initiative (PMDI) was launched in 2018 by the American Diabetes Association (ADA) in collaboration with the European Association for the Study of Diabetes (EASD). The PMDI has subsequently partnered with other organizations including the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), JDRF, and the Diabetes Technology Society. The mandate of the PMDI is to establish consensus on the viability and ultimate clinical implementation of precision medicine… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
43
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 72 publications
(44 citation statements)
references
References 13 publications
1
43
0
Order By: Relevance
“…Of note, in our opinion, despite some pitfalls (as discussed above), neural networks may be a very valuable option among all those available in the artificial intelligence context, for the neural networks ability to “learn” and hence possibly optimize the diabetic foot strategy for different categories of diabetic patients, and hopefully for a single patient. This appears consistent with the expected future for the care of diabetes (thus including diabetic foot care), moving towards precision and even personalized (i.e., for the single individual) medicine [ 92 , 93 , 94 , 95 , 96 ]. In fact, the integration of different sensing strategies, which is advisable for the reasons explained (mainly, the heterogeneity of diabetic foot syndrome), coupled with appropriate artificial intelligence approaches (able to “evolve” and improve their performances), offers important grounds for the application of concepts in the context of precision and personalized medicine.…”
Section: Discussionsupporting
confidence: 81%
“…Of note, in our opinion, despite some pitfalls (as discussed above), neural networks may be a very valuable option among all those available in the artificial intelligence context, for the neural networks ability to “learn” and hence possibly optimize the diabetic foot strategy for different categories of diabetic patients, and hopefully for a single patient. This appears consistent with the expected future for the care of diabetes (thus including diabetic foot care), moving towards precision and even personalized (i.e., for the single individual) medicine [ 92 , 93 , 94 , 95 , 96 ]. In fact, the integration of different sensing strategies, which is advisable for the reasons explained (mainly, the heterogeneity of diabetic foot syndrome), coupled with appropriate artificial intelligence approaches (able to “evolve” and improve their performances), offers important grounds for the application of concepts in the context of precision and personalized medicine.…”
Section: Discussionsupporting
confidence: 81%
“…However, we believe that the potential relevance is remarkable, at least considered in perspective, for the near future. Indeed, there has recently been a vigorous move towards precision medicine in diabetes, including precision diagnostics [ 116 , 117 , 118 , 119 , 120 , 121 , 122 ]. Thus, we expect that soon it may become part of the clinical routine for assessing the specific metabolic defects of a patient with diabetes, or even simple prediabetes or dysglycemia.…”
Section: Discussionmentioning
confidence: 99%
“…The emerging question of diabetes phenotypes, and resulting implications for precision medicine and public health, is of great topical interest worldwide. 10 Well-conducted research in Indian populations—in which some phenotypes are more widely prevalent and novel phenotypes may manifest—can provide ground-breaking and widely generalizable findings with global impact. 11 Yet, gradients in risk of complications across phenotypes as the diabetes epidemic evolves, coupled with the vast population diversity, offer contextual opportunities to explore important questions regarding gene–environment interactions in diabetes causation and in the differences manifest in disease phenotypes and pathophysiology.…”
Section: Why Is Diabetes Research Important For India?mentioning
confidence: 99%