AI-driven network-based drug repurposing: A roadmap for precision medicine in Kyrgyzstan's and low and middle income countries' resource-limited healthcare systems

Healthcare systems operating with limited resources, like those in Kyrgyzstan, must overcome major obstacles to tackle their high disease prevalence because they lack sufficient funding for developing new medications. This chapter explores how network-based drug repurposing through AI-driven methods can solve funding limitations by adapting existing medications for precision medicine solutions in Kyrgyzstan and other low- and middle-income countries (LMICs). The chapter not only demonstrates how AI-based drug repurposing can transform antihypertensive medications into tuberculosis complication treatments and optimize antiviral medications for Central Asian viral strains but also shows the significance of the implementation of AI model training through collaborative efforts and public-private partnerships. The strategy will help Kyrgyzstan and other LMICs harness their healthcare digitization opportunities by creating AI with ML capabilities and ethical frameworks for fair health equity. By combining global precision medication design breakthroughs with local healthcare realities, the approach offers sustainable, patient-centered care for low-resource settings.