An early example of HTS in drug development came from the identification of new antibiotics using 96-well microtiter plates, whereby fermentations of an established actinomycetes library were incubated with a panel of microorganisms, and after optimization, a screening capacity of 10 000 fermentation broths per week was achieved. [1] In the following decades, the rapid development of molecular biology techniques and advances in automated equipment have changed how new drugs are identified, and a variety of HTS-identified drugs have been approved to treat different diseases. [2] For a comprehensive list of HTS-identified drugs, please refer to the excellent review by Macarron et al. [2] High-throughput applications can also be combined with other unbiased "Omics" technologies used to study genomics, epigenomics, transcriptomics, proteomics, and metabolomics. [3] Diabetes is an incurable disease characterized by the inability of the body to maintain normoglycemia due to decreased sensitivity of various tissues to insulin and insufficient amounts of circulating insulin, a hormone produced by pancreatic β-cells. [4] Diabetes is associated with chronic complications, like macrovascular diseases (e.g., cardiovascular diseases) and microvascular diseases (e.g., damages in nerve, kidney, eye, and foot). [5,6] More than 537 million adults are currently living with diabetes, and this number is expected to increase to 693 million by 2045. In 2021, 6.7 million deaths worldwide were attributed to diabetes, [7] which made it the ninth leading cause of death. [8] Globally, the prevalence of diabetes also brings a heavy burden to healthcare systems, with an estimated expenditure of over 966 billion U.S. dollars per year. [7] Diabetes is generally categorized into two groups: Type I diabetes mellitus (T1DM) and Type II diabetes mellitus (T2DM), but there are still some cases that have different etiologies, such as gestational diabetes mellitus and monogenic diabetes. [9] Since the discovery of insulin in 1921, [10] significant progress has been made in diabetes pharmacotherapy and therapeutic technology; [11][12][13] however, since a permanent cure is unavailable, the discovery and development of anti-diabetic drugs is still at the forefront of diabetes research. With the rapid advancement in high-throughput omics technologies, combined with accumulated genome-wide association study (GWAS) data, a better understanding of diabetes pathophysiology may one day lead to the discovery of novel therapeutic targets. [14,15] This review will During the past decades, unprecedented progress in technologies has revolutionized traditional research methodologies. Among these, advances in highthroughput drug screening approaches have permitted the rapid identification of potential therapeutic agents from drug libraries that contain thousands or millions of molecules. Moreover, high-throughput-based therapeutic target discovery strategies can comprehensively interrogate relationships between biomolecules (e.g., gene, RNA, and protein) and diseas...