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Page 130                                         Chan et al. J Transl Genet Genom 2024;8:13-34  https://dx.doi.org/10.20517/jtgg.2023.36

               CONCLUSION
               Diabetes is a societal, public health and personal challenge. The rapid changes in our ecosystem, physical
               and food environment, cultures, lifestyles, values, and perspectives have unmasked biological defects in
               vulnerable individuals at risk of developing diabetes at a young age. These individuals need to be diagnosed,
               treated, and controlled early to prevent complications, maintain earning power, and preserve quality of life.
               Decision makers including governments, payors, and healthcare planners are tasked with creating a health-
               enabling environment, building capacity, and ensuring access to affordable medications, care, and support
               in collaboration with industry. Likewise, care providers have the responsibility to identify unmet needs and
               discover new knowledge to improve outcomes. Against this backdrop, physicians standing between patients
               and technologies, equipped with knowledge in human biology, pathophysiology, clinical medicine, drug
               mechanisms, and care delivery, should spearhead the use of genomic medicine and holistic care to reclassify
               diabetes and implement personalized solutions in people with or at risk of developing YOD. By combining
               research and practice, there is a real possibility that we can use personalized and genomic data to transform
                                     [3]
               care and save patient lives .

               DECLARATIONS
               Acknowledgments
               We thank all staff, patients, and their relatives and the support of the Hong Kong Hospital Authority and
               the Hong Kong Genome Institute in the implementation of the PRISM Project, supported by the Hong
               Kong Government Health and Medical Research Fund Commissioned Research (CFS-CUHK2). We also
               acknowledge the support of the Impact Research Fund supported by the Research Grant Committee.


               Authors’ contributions
               Conceptualized and wrote the first draft with contribution and finalized the paper for submission: Chan JCN
               Provided critical comments and approved the final manuscript: all authors

               Availability of data and materials
               Not applicable.


               Financial support and sponsorship
               None.


               Conflicts of interest
               Chan JCN and Ma R hold patents for using genetic markers to predict diabetes and its complications
               for personalized care. Chan JCN, Ma R, and Lim C  are cofounders of  a start-up  biotech  company
               partially supported  by  the  Technology  Start-up  Support  Scheme  for  Universities  (TSSSU)  of  the
               Hong Kong Government Innovation and Technology Commission. All other coauthors have no conflict of
               interest to declare.

               Ethical approval and consent to participate
               Not applicable.

               Consent for publication
               Not applicable.

               Copyright
               © The Author(s) 2024.
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