Join an innovative global community focused on improving patient care, shaping effective policy, and ensuring the future of our field.
January 04, 2021
This is the final opportunity to submit an abstract to ENDO 2021! ENDO represents the best opportunity to share your research with your colleagues in endocrinology and contribute to the advancement of our field. Submit your abstract by January 28, 2021 at 1:00 PM EST to ensure you are considered.
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January 21, 2021
Join us virtually March 20-23 for ENDO 2021, the largest meeting on endocrinology in the world. Our program offers a remarkable depth and diversity of endocrine topics across more than 90 live sessions and another 80 sessions accessible on-demand. Register today and join thousands of your peers in learning the latest in hormone science and care.
January 15, 2021
The discovery of insulin in 1921 transformed diabetes from a death sentence to a chronic condition. We’re celebrating the 100th anniversary of insulin with this collection of resources and member stories. Check back regularly for updates and events, including webinars and podcasts, throughout the year.
January 18, 2021
Read our special collection of journal articles focused on diabetes! These were published in 2019 and 2020, with curation guided by Altmetric Attention Score and Featured Article designation.
January 21, 2021
We discuss President Biden's first day Executive Orders, new nominees to the administration, and plans for our upcoming Hill Day.
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January 12, 2021
The Endocrine Society is calling on policymakers to include government negotiation as part of an overall strategy to reduce insulin prices in its updated position statement published today in The Journal of Clinical Endocrinology & Metabolism.
January 08, 2021
Black and Hispanic people with COVID-19 and diabetes are more likely than Caucasians to die or have serious complications, according to a new study published in the Endocrine Society’s Journal of Clinical Endocrinology & Metabolism.
December 22, 2020
Machine learning, a form of artificial intelligence, can predict which women are at high risk of developing gestational diabetes and lead to earlier intervention, according to a new study published in the Endocrine Society’s Journal of Clinical Endocrinology & Metabolism.