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How Much Evidence Is Enough? Research Sponsor Experiences Seeking Regulatory Acceptance of Digital Health Technology-Derived Endpoints.
- Published in:
- Digital Biomarkers, 2023, v. 7, n. 1, p. 45, doi. 10.1159/000529878
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- Publication type:
- Article
Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10,929 children using a connected auto-injector device.
- Published in:
- 2022
- By:
- Publication type:
- journal article
Integrated Digital Health Solutions in the Management of Growth Disorders in Pediatric Patients Receiving Growth Hormone Therapy: A Retrospective Analysis.
- Published in:
- Frontiers in Endocrinology, 2022, v. 13, p. 1, doi. 10.3389/fendo.2022.882192
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- Publication type:
- Article
Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10,929 children using a connected auto-injector device.
- Published in:
- BMC Medical Imaging, 2022, v. 22, n. 1, p. 1, doi. 10.1186/s12911-022-01918-2
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- Publication type:
- Article
The Impact of COVID-19 Regulations on Adherence to Recombinant Human Growth Hormone Therapy: Evidence from Real-World Data.
- Published in:
- Endocrines, 2023, v. 4, n. 1, p. 194, doi. 10.3390/endocrines4010017
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- Publication type:
- Article
Liposome biodistribution by time resolved fluorimetry of lipophilic europium complexes.
- Published in:
- European Biophysics Journal, 2006, v. 35, n. 3, p. 155, doi. 10.1007/s00249-005-0008-8
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- Publication type:
- Article
Liposome biodistribution by time resolved fluorimetry of lipophilic europium complexes.
- Published in:
- European Biophysics Journal, 2006, v. 35, n. 2, p. 155, doi. 10.1007/s00249-005-0008-8
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- Publication type:
- Article