Combination therapies

Background: Tuberculosis (TB) is a significant global health issue requiring prolonged treatment regimens that often involve multiple medications. Mycobacterium tuberculosis, the causative agent, is capable of residing in various tissue compartments during infection, leading to variability in drug accessibility and susceptibility. The complexity of the infection necessitates the use of antibiotic combinations to ensure that all affected areas are effectively treated. Despite the importance of these combinations, their design has traditionally been addressed relatively late in the drug development process, leading to a limited number of evaluated drug combinations. Aim of Work: This study aims to examine the advancements made in the investigation of drug combinations for TB treatment through in vitro, in vivo, and computational approaches. It will also explore the potential integration of these methodologies with recent successful clinical trials of innovative medication combinations to enhance combination treatments for TB. Methods: We conducted thorough literature searches to identify and analyze the methodologies and experimental models utilized in the assessment of medication combinations for TB. This involved examining the capabilities of various in vitro, in vivo, and computational techniques that have been applied to study the interactions and effects of different antibiotic combinations

Intensive care medicine · Advanced Breast Cancer Therapies · Health Systems, Economic Evaluations, Quality of Life · Medicine · Science, Research, and Medicine