2023
DOI: 10.1016/j.kint.2022.12.026
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P32: a sex- and gender-sensitive model for evidence-based precision medicine: from knowledge generation to implementation in the field of kidney transplantation

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Cited by 7 publications
(4 citation statements)
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“…As the use of artificial intelligence and machine-learning approaches to analyze large datasets generated by these technologies could enable the development of predictive models for the early detection and personalized treatment of CKD, it is essential to create sexand gender-sensitive models, as proposed, for example, in the field of kidney transplantation [194]. The development of sex-specific drug dosing and administration protocols, informed by sex-biased expression of pharmacogenes across human tissues, as described in the study by Idda et al, could also improve treatment outcomes in CKD patients [195].…”
Section: Discussionmentioning
confidence: 99%
“…As the use of artificial intelligence and machine-learning approaches to analyze large datasets generated by these technologies could enable the development of predictive models for the early detection and personalized treatment of CKD, it is essential to create sexand gender-sensitive models, as proposed, for example, in the field of kidney transplantation [194]. The development of sex-specific drug dosing and administration protocols, informed by sex-biased expression of pharmacogenes across human tissues, as described in the study by Idda et al, could also improve treatment outcomes in CKD patients [195].…”
Section: Discussionmentioning
confidence: 99%
“…Herein, contextualisation should be prioritised over broad generalisation, as these considerations steer away from a one-size-fits-all paradigm and towards precision medicine. 3 , 55 , 56 Recognising these nuanced interactions will ensure more tailored and effective health interventions.…”
Section: Discussionmentioning
confidence: 99%
“…This involves considering factors such as socioeconomic status, geographic location, and cultural diversity to prevent the exacerbation of existing healthcare inequities . The regulatory landscape in precision medicine is evolving to keep pace with scientific advancements. , Regulatory agencies, such as the U.S. Food and Drug Administration (FDA), are faced with the challenge of expeditiously reviewing and approving new targeted therapies and diagnostic tests. Balancing the need for swift access to innovative treatments with the requirement of rigorous safety and efficacy assessments is a significant regulatory challenge.…”
Section: Challenges and Considerations In Precision Medicine Implemen...mentioning
confidence: 99%