Bee, Y. M., Nambiar. M., Chan, Y. E., Ho Mien, I., Guretno, F., Carmody, D., Lee, P. C., Chia, S. Y., Mohamed Salim, N. N., & Krishnaswamy, P. (2024). An Artificial Intelligence Drug Mix and Dose Advisor Recommends Individualised Treatments for Type 2 Diabetes. The Official Journal of ATTD Advanced Technologies & Treatments for Diabetes CONFERENCE 6–9 MARCH 2024 I FLORENCE & ONLINE under O004 / #562 ORAL PRESENTATIONS 01
Abstract:
Pharmacotherapy guidelines for type 2 diabetes (T2D) emphasise patient-centered care, but applying this approach effectively and consistently in practice is challenging. We introduce a novel decision algorithm, called the Artificial Intelligence Drug mix and dose Advisor, to enhance individualised T2D management.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the A*STAR Singapore - Diabetes Clinic of the Future
Grant Reference no. : Grant No. H19/01/a0/023
Description:
This is the accepted version of the following article: Bee, Y. M., Nambiar. M., Chan, Y. E., Ho Mien, I., Guretno, F., Carmody, D., Lee, P. C., Chia, S. Y., Mohamed Salim, N. N., & Krishnaswamy, P. (2024). An Artificial Intelligence Drug Mix and Dose Advisor Recommends Individualised Treatments for Type 2 Diabetes. The Official Journal of ATTD Advanced Technologies & Treatments for Diabetes CONFERENCE 6–9 MARCH 2024 I FLORENCE & ONLINE, which has now been formally published in final form at The Official Journal of ATTD Advanced Techologies & Treatments for Diabetes CONFERENCE 6–9 MARCH 2024 I FLORENCE & ONLINE under O004 / #562 ORAL PRESENTATIONS 01 at doi.org/10.1089/dia.2024.2525.abstracts. This original submission version of the article may be used for non-commercial purposes in accordance with the Mary Ann Liebert, Inc., publishers’ self-archiving terms and conditions.