Drug combination therapy has evolved into the standard treatment for complex diseases, such as AIDS and cancer. In comparison to single drug therapy, drug combination therapy offers several advantages:

• Improved Therapeutic Effect: Combining drugs can enhance the overall treatment efficacy.
• Reduced Dosing: Drug combinations can allow for the reduction of individual drug doses while achieving or maintaining the same level of efficacy, thus minimizing the risk of toxicity.
• Resistance Management: Combining drugs can help overcome and slow down the development of drug resistance, a common challenge in disease treatment.
• Selective Synergism: Drug combinations can be tailored to exploit synergistic interactions between specific medications.

Kyinno utilizes a standardized High-throughput screening (HTS) approach to analyze the phenotypic effects of thousands of drug combinations in preclinical model systems. In recent years, cutting-edge machine learning models have been employed to predict the sensitivity and synergy of drug combinations, alongside the development of more comprehensive reference models for measuring the combination index. Common reference models include Bliss independence, Loewe additivity, Zero interaction potency, and Highest single agent. The SynergyFinder tool is a primary resource used for the analysis of combination drug data.