Innovative drug delivery methods for combating antimicrobial resistance

International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(8), P. 834 - 858

Published: Aug. 23, 2024

Antimicrobial resistance (AMR) poses a significant threat to global health, complicating the treatment of infectious diseases and leading increased morbidity mortality. Innovative drug delivery methods are emerging as critical strategies combat AMR by enhancing efficacy existing antibiotics facilitating development new therapeutic approaches. This paper explores role novel systems in addressing challenges. One primary approaches is targeted that improve precision antibiotic therapy. Nanotechnology has revolutionized this field, enabling creation nanoparticles nanocarriers can deliver drugs directly infection sites, reducing systemic side effects concentration at target. These advanced be engineered release controlled manner, overcoming bacterial mechanisms minimizing likelihood development. Another promising strategy involves use combination therapies delivered through innovative methods. By combining with adjuvants or resistance-modifying agents, these counteract restore effectiveness drugs. For instance, platforms co-deliver inhibitors efflux pumps biofilm formation enhance resistant infections. The integration smart systems, which respond environmental stimuli such pH changes specific enzymes, offers additional advantages. only presence bacteria, thereby overall exposure bacteria decreasing risk resistance. also include long-acting formulations implants provide sustained over extended periods. Such reduce frequency dosing, patient adherence, ensure consistent levels, crucial for managing chronic infections preventing In conclusion, pivotal fight against AMR. targeting, therapies, utilizing sustained-release offer solutions curb Continued research area essential advancing ensuring effective management face rising antimicrobial Keywords: Innovative, Drug Delivery Methods, Combating, Antimicrobial, Resistance.

Language: Английский

The impact of artificial intelligence on early diagnosis of chronic diseases in rural areas

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 1828 - 1854

Published: Aug. 23, 2024

The integration of artificial intelligence (AI) in healthcare has the potential to revolutionize early diagnosis chronic diseases, particularly rural areas where resources are often limited. This paper explores transformative impact AI technologies on identifying diseases at their earliest stages, enhancing patient outcomes, and alleviating burden systems. AI's ability analyze vast amounts data rapidly accurately enables detection such as diabetes, hypertension, cardiovascular conditions. Machine learning algorithms can process from various sources, including electronic health records (EHRs), wearable devices, diagnostic imaging, identify patterns biomarkers indicative disease onset. predictive capability allows providers intervene sooner, potentially preventing progression reducing long-term costs. In areas, access specialized medical expertise advanced tools is constrained, AI-driven offer a significant advantage. Telemedicine platforms integrated with facilitate remote consultations, assists interpreting providing suggestions. approach not only expands quality but also empowers local decision-support tools, improving accuracy management. Moreover, help mitigate challenges limited personnel regions by automating routine tasks enabling workers focus more complex cases. For instance, AI-powered imaging analysis quickly screen large populations for signs flagging suspicious cases further review professionals. deployment settings fosters continuous monitoring personalized care through connected devices. These devices collect real-time data, which systems provide actionable insights alerts both patients providers. proactive ensures timely interventions enhances adherence treatment plans. conclusion, into significantly improves offering scalable solution address disparities outcomes between urban populations. Continued investment infrastructure, along targeted training providers, essential realize full transforming life millions. Keywords: AI, Impact, Early Diagnostic, Chronic Disease, Rural Areas.

Language: Английский

Incorporating Privacy by Design Principles in the Modification of AI Systems in Preventing Breaches across Multiple Environments, Including Public Cloud, Private Cloud, and On-prem

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский