The human antimicrobial susceptibility testing (AST) market encompasses the range of diagnostic processes and products employed to determine the susceptibility of specific microbial organisms, including bacteria and fungi, to various antimicrobial agents. This testing is crucial in guiding the appropriate selection of antimicrobial therapy for individual patients, optimizing clinical outcomes, and mitigating the risk of resistance development. The rising prevalence of bacterial and fungal infections globally fuels the demand for effective diagnostic testing such as AST. The growing problem of resistance to existing antibiotics underscores the need for AST to tailor treatments and develop new antimicrobials. However, the cost and complexity of advanced AST systems may limit accessibility, particularly in low-resource settings. Moreover, rising healthcare infrastructure and increasing awareness about infectious diseases in regions present significant growth opportunities. Development of portable, easy-to-use AST systems for use in outpatient settings or remote areas. Along with these, employing AI to predict susceptibility and resistance patterns could streamline AST processes, enhance predictive accuracy, and create new growth opportunities for the market.
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