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Personalized medicine is increasingly being employed across many areas of clinical practice, as genes associated with specific diseases are discovered and targeted therapies are developed. Mobile apps are also beginning to be used in medicine with the aim of providing a personalized approach to disease management. In some areas of medicine, patient-tailored risk prediction and treatment are applied routinely in the clinic, whereas in other fields, more work is required to translate scientific advances into individualized treatment. In this forum article, we asked specialists in oncology, neurology, endocrinology and mobile health technology to discuss where we are in terms of personalized medicine, and address their visions for the future and the challenges that remain in their respective fields. [ABSTRACT FROM AUTHOR]

C-peptide persistence in type 1 diabetes: "not drowning, but waving"? Keywords: Type 1 diabetes; Stratification; Gene risk scores; Proinsulin; C-peptide; Insulin secretion However, any explanation must account for the remarkable spectrum of C-peptide, in which decline follows a pattern of "younger, faster, greater", while C-peptide persistence is also associated with genes distinct from type 1 diabetes susceptibility genes, implicating type 2 diabetes networks [[4]]. Type 1 diabetes, Stratification, Gene risk scores, Proinsulin, C-peptide, Insulin secretion. [Extracted from the article]