Integrative analysis of AI-driven optimization in HIV treatment regimens

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(6), P. 1314 - 1334

Published: June 7, 2024

The integration of artificial intelligence (AI) into HIV treatment regimens has revolutionized the approach to personalized care and optimization strategies. This study presents an in-depth analysis role AI in transforming treatment, focusing on its ability tailor therapy individual patient needs enhance outcomes. AI-driven involves utilization advanced algorithms computational techniques analyze vast amounts data, including genetic information, viral load measurements, history. By harnessing power machine learning predictive analytics, can identify patterns trends data that may not be readily apparent human clinicians. One key benefits is personalize based characteristics disease progression. considering factors such as drug resistance profiles, comorbidities, lifestyle factors, recommend most effective well-tolerated options for each patient, leading improved adherence clinical Furthermore, enables continuous monitoring adjustment real time, allowing healthcare providers respond rapidly changes status evolving dynamics. proactive management help prevent failure development resistance, ultimately better long-term outcomes patients. Despite transformative potential, without challenges. Ethical considerations, privacy concerns, need robust validation regulatory oversight are all important must addressed ensure safe implementation practice. In conclusion, integrative presented this underscores significant impact personalization regimens. leveraging technologies, approaches needs, quality life people living with HIV. Keywords: Integrative Analysis, AI- Driven, Optimization, Treatment, Regimens.

Language: Английский

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The role of policy and regulation in promoting green buildings

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 22(1), P. 139 - 150

Published: April 6, 2024

Green buildings play a crucial role in sustainable development by reducing energy consumption, minimizing environmental impact, and enhancing occupant health well-being. This review explores the of policy regulation promoting green buildings, highlighting importance government intervention driving building practices. Government policies regulations pivotal shaping adoption Through combination mandates, incentives, standards, governments can encourage construction renovation that prioritize efficiency, water conservation, sustainability. Mandatory codes standards are among most effective tools use to promote buildings. These set minimum requirements for performance, indoor quality, ensuring new constructions major renovations meet established sustainability criteria. In addition mandatory also financial incentives may include tax credits, grants, or subsidies owners developers who incorporate design features achieve certifications. Furthermore, influence market through procurement public projects. By leading example, create ripple effect private sector, encouraging more embrace Overall, is essential advancing goals. setting clear providing an environment where norm rather than exception, built future generations.

Language: Английский

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Innovations in real-time infectious disease surveillance using AI and mobile data

International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(6), P. 647 - 667

Published: June 6, 2024

The integration of artificial intelligence (AI) and mobile health data has ushered in a new era real-time infectious disease surveillance, offering unprecedented insights into dynamics enabling proactive public interventions. This paper explores the innovative applications AI transforming traditional surveillance systems for diseases. By harnessing power algorithms, coupled with vast amount generated from devices, researchers authorities can now monitor outbreaks greater accuracy efficiency. AI-driven predictive models analyze diverse datasets, including demographic information, travel patterns, social media activity, to detect early signs emergence predict potential outbreaks. use provides wealth information that was previously inaccessible methods. Mobile apps, wearables, other connected devices enable continuous monitoring individuals' indicators, allowing detection symptoms rapid response threats. Furthermore, geolocation facilitates tracking population movements identification high-risk areas transmission. However, this approach also presents challenges ethical considerations. Privacy concerns regarding collection must be carefully addressed ensure rights are protected. Additionally, issues related quality, interoperability, algorithm bias need mitigated reliability effectiveness systems. In conclusion, holds immense promise revolutionizing surveillance. leveraging these technologies, gain valuable dynamics, enhance capabilities, implement targeted interventions prevent spread it is essential address considerations associated its responsible effective implementation. Keywords: Innovations, Real-Time Infectious Disease, Surveillance, AI, Data.

Language: Английский

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Integrating IoT in pediatric dental health: A data-driven approach to early prevention and education

International Journal of Frontiers in Life Science Research, Journal Year: 2024, Volume and Issue: 6(1), P. 022 - 035

Published: March 26, 2024

This paper explores the integration of IoT devices, data analytics, and education techniques to enhance pediatric dental health outcomes. By leveraging real-time collection, analysis, personalized interventions, can empower both caregivers children adopt proactive hygiene practices. comprehensive approach not only improves oral but also establishes lifelong habits for overall wellness. Pediatric is a vital often overlooked component well-being. Despite its significance, it frequently lacks attention deserves. Integrating Internet Things (IoT) technologies into care presents an opportunity substantial improvement in early prevention strategies. enhances conducive crucial determinant well-being, yet remains overshadowed by other priorities. Addressing requires measures, including The promising avenue revolutionize delves potential improving health. harnessing empowers holistic fosters development Through examination integration, this underscores transformative impact have on health, emphasizing importance prioritizing innovative approaches address critical aspect childhood

Language: Английский

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INNOVATING SERVICE DELIVERY FOR UNDERSERVED COMMUNITIES: LEVERAGING DATA ANALYTICS AND PROGRAM MANAGEMENT IN THE U.S. CONTEXT

International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(4), P. 472 - 487

Published: April 7, 2024

Innovating service delivery for underserved communities in the United States is imperative to address systemic inequalities and ensure equitable access essential services. This paper explores integration of data analytics program management develop tailored solutions within U.S. context. Underserved communities, characterized by socioeconomic disparities limited resources, present unique challenges that necessitate innovative approaches. Leveraging enables organizations gain insights into community needs, predict trends, allocate resources effectively. Furthermore, methodologies, such as agile practices stakeholder collaboration, facilitate design implementation responsive impactful initiatives. Through case studies healthcare, education, housing assistance, we demonstrate practical application these strategies addressing diverse needs. However, several challenges, including accessibility barriers, equity concerns, financial constraints, must be navigated success sustainability programs. Looking ahead, advancements technology policy support offer opportunities further enhance populations. By prioritizing innovation, equity, stakeholders can work towards creating inclusive systems uplift empower all communities. underscores importance continuous adaptation investment complex needs populations States. Keywords: Innovation, Service Delivery, Communities, Data Analytics, Program Management, Context.

Language: Английский

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HARNESSING DATA INSIGHTS FOR CRISIS MANAGEMENT IN U.S. PUBLIC HEALTH: LESSONS LEARNED AND FUTURE DIRECTIONS

International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(4), P. 391 - 405

Published: April 9, 2024

The effective management of crises in U.S. public health relies heavily on harnessing insights from data. This paper examines the lessons learned past and outlines future directions for leveraging data to enhance crisis efforts. Drawing case studies significant events such as COVID-19 pandemic natural disasters, we analyze role informing decision-making, identifying challenges, deriving best practices. Despite advancements infrastructure, including real-time monitoring systems predictive analytics, there remain challenges collection, integration, analysis. highlights importance improving governance, investing technology, fostering interdisciplinary collaboration address these challenges. Additionally, considerations equity privacy are crucial development implementation data-driven strategies. Looking ahead, provides recommendations enhancing practices, adoption standardized protocols, early warning systems, promotion decision-making processes. By prioritizing approaches embracing continuous learning, stakeholders can better prepare respond crises. serves a roadmap policymakers, officials, researchers optimize utilization management, ultimately safeguarding well-being communities across United States. Keywords: Data Insights, Crisis Management, Public Health, Lessons Learned, Future Directions.

Language: Английский

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Artificial Intelligence in Clinical Practice

Sri Lanka Journal of Medicine, Journal Year: 2024, Volume and Issue: 33(2), P. 1 - 3

Published: Aug. 13, 2024

No abstract available

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NAVIGATING ETHICAL CHALLENGES IN DATA MANAGEMENT FOR U.S. PROGRAM DEVELOPMENT: BEST PRACTICES AND RECOMMENDATIONS

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(4), P. 1023 - 1033

Published: April 7, 2024

In the landscape of U.S. program development, ethical management data plays a crucial role in ensuring integrity, privacy, and trustworthiness information. This review outlines best practices recommendations for navigating challenges inherent within this context. Understanding involves recognizing complexities collection, storage, usage, sharing, potential dilemmas they pose. Best entail implementing robust procedures informed consent, privacy protection, encryption, access control, compliance with relevant regulations. Additionally, decision-making requires establishment frameworks that prioritize stakeholder interests, risk assessment, implementation guidelines through staff training regular audits. Through case studies, real-world examples illustrate practical application principles addressing challenges. emphasizes critical considerations safeguarding integrity fostering trust among stakeholders development initiatives. It underscores need continued vigilance adherence to mitigate risks uphold standards essential responsible domain. Keywords: Ethical Challenges, Data Management, Program Development, Practices, Recommendations.

Language: Английский

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AI to Analyze Individual Medical Records and Genetic Information to Recommend Personalised Treatment Plans

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 147 - 164

Published: March 7, 2025

The integration of Artificial Intelligence (AI) into healthcare has open a new era medical diagnosis and treatment. This chapter critically examines collection scholarly articles that delve the multifaceted applications AI in domain such as using image chemical studies, patient familiar history big data acquired through use wearables. Also, we dive ethical legal aspects training IA with private which repercussions can have.

Language: Английский

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AI-assisted decision-making in mild traumatic brain injury

BMC Emergency Medicine, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 12, 2025

Abstract Objective This study evaluates the potential use of ChatGPT in aiding clinical decision-making for patients with mild traumatic brain injury (TBI) by assessing quality responses it generates care. Methods Seventeen TBI case scenarios were selected from PubMed Central, and each was analyzed GPT-4 (March 21, 2024, version) between April 11 20, 2024. Responses evaluated four emergency medicine specialists, who rated ease understanding, scientific adequacy, satisfaction response using a 7-point Likert scale. Evaluators also asked to identify critical errors, defined as mistakes care or interpretation that could lead morbidity mortality. The readability GPT-4’s assessed Flesch Reading Ease Flesch-Kincaid Grade Level tools. Results There no significant difference understanding without errors ( p = 0.133). However, significantly reduced adequacy < 0.001). more difficult read than descriptions Conclusion demonstrates utility management, offering scientifically appropriate comprehensible responses. issues limit its immediate implementation settings oversight experienced medical professionals.

Language: Английский

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