SOURCE-LINKED INTELLIGENCE
Digital Endocrinology Training Network to combat adrenal diseases
ds the ‘merging of multiple themes in one expert’. In this fast developing field, interdisciplinary experts can better communicate across topics as dispersed as clinical medicine, data science (incl. machine learning and artificial intelligence), mathematics, engineering, biochemistry, biotechnology, ethics, law, while adapting academic findings to real word needs. ENDOTRAIN is poised to fill in the gap of interdisciplinary experts needed to advance digital endocrine medicine research and clinical application. This doctoral network joins leading researchers and entrepreneurs from 8 countries to train 15 Doctoral Candidates (DCs), along with 4 DCs funded by Switzerland (SDCs), across different disciplines and sectors. Exceptionally trained in digital endocrine medicine, these versatile DCs will be prepared to face broader challenges beyond endocrinology and become the next generation of clinicians, scientists, and innovators, equipped to enhance Europe’s capacity to navigate the rapidly evolving landscape of digital medicine.
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4758292.8
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.