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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Supply chain integrating sustainability and ethics: Strategies for modern supply chain management

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 22(1), P. 1930 - 1953

Published: April 30, 2024

This review paper explores the integration of sustainability and ethics in modern supply chain management, emphasizing need for organizations to align their operations with environmental social responsibilities. The objective is synthesize existing research practices propose a comprehensive strategy sustainable ethical management. employs systematic literature review, analyzing over 150 peer-reviewed articles industry reports assess evolution within chains. focuses on identifying core themes, challenges, successful documented body knowledge. Key findings indicate that hinges organizational commitment, regulatory compliance, stakeholder involvement. identifies transparency, traceability, collaboration as pivotal elements drive practices. Furthermore, it discusses role technological advancements such block AI enhancing these conclusion posits integrating not only mitigates risks enhances compliance but also provides competitive advantages terms innovation market positioning. recommends strategic framework includes policy development, training programs, technology adoption foster culture sustainability. By providing current methodologies outcomes, this contributes discourse improving through practices, offering valuable insights academics practitioners alike.

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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Product strategy development and financial modeling in AI and Agritech Start-ups

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(7), P. 1178 - 1190

Published: July 7, 2024

This paper explores the intricate dynamics of product strategy development and financial modeling within burgeoning fields AI agritech start-ups. It begins by delineating stages development—from idea generation market research to launch scaling—emphasizing customer-centricity, innovation, collaborative partnerships as pivotal drivers success. Financial techniques, ranging from basic revenue cost structures advanced scenario analysis risk mitigation, are examined for their role in guiding strategic decision-making ensuring sustainability. In sector, rapid advancements machine learning data analytics reshaping industries through intelligent automation predictive insights. Agritech, meanwhile, leverages technology optimize agricultural processes, enhance productivity, promote sustainable practices amid global challenges. Both sectors share synergies integrating technologies innovate offerings performance, albeit facing distinct challenges such regulatory compliance adoption. Practical examples illustrate how start-ups apply these insights refine strategies models, enhancing competitiveness scalability. The implications practice underscore importance adapting dynamics, leveraging technological innovations, fostering collaborations drive growth innovation. Keywords: AI, Product Strategy Development, Modeling, Start-Ups

Language: Английский

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Managing global supply chain teams: human resource strategies for effective collaboration and performance

GSC Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 19(2), P. 013 - 031

Published: May 6, 2024

This study examines the role of human resource (HR) strategies in enhancing collaboration and performance within global supply chains, an area increasing importance context globalized business operations. The primary objective is to identify analyze current trends HR practices that contribute effective chain management, focusing on adaptability, technological integration, sustainability, ethical practices. Employing a systematic literature review content analysis as its methodology, draws academic journals, conference proceedings, industry reports from databases such Scopus, Web Science, Google Scholar. Key findings reveal adaptability flexible work arrangements, supported by digital technologies, are essential for operational resilience employee engagement. integration sustainability considerations into identified crucial maintaining competitive advantage ensuring regulatory compliance. Furthermore, development cultural intelligence inclusive leadership teams highlighted vital fostering across diverse landscapes. concludes strategic management plays pivotal navigating challenges leveraging opportunities chains. Recommendations practitioners emphasize continuous learning, embracing transformation, integrating also outlines areas further research, including impact emerging technologies long-term effects sustainable organizational performance. research contributes valuable insights optimizing enhance

Language: Английский

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Dynamic financial modeling and feasibility studies for affordable housing policies: A conceptual synthesis

International Journal of Advanced Economics, Journal Year: 2024, Volume and Issue: 6(7), P. 288 - 305

Published: July 24, 2024

The escalating demand for affordable housing necessitates innovative approaches to financial modeling and feasibility analysis ensure the success sustainability of policies. This abstract presents a conceptual synthesis dynamic studies, exploring their pivotal role in shaping effective Dynamic involves creating flexible adaptive models that account varying economic conditions, policy changes, market fluctuations. These are essential predicting outcomes, assessing viability projects, guiding investment decisions. By incorporating real-time data scenario analysis, help stakeholders understand potential risks opportunities, enabling more informed decision-making. Key components include cash flow sensitivity testing, planning, which together provide comprehensive view project's over time. Feasibility studies complement by evaluating practical aspects such as site selection, regulatory compliance, demand. assess alignment projects with community needs requirements, ensuring proposed developments both feasible beneficial. often cost estimates, risk assessments, providing detailed understanding project constraints opportunities. offers robust framework It allows integration projections considerations, policies not only economically viable but also aligned social objectives. Case from various regions demonstrate effectiveness this approach identifying successful strategies addressing common challenges. In conclusion, crucial tools developing implementing They dimensions, facilitating decision-making enhancing impact initiatives. underscores importance integrating these methodologies achieve long-term affordability Keywords: Policies, Affordable Housing, Studies, Financial Modeling, Synthesis.

Language: Английский

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Resilient Supply Chains in Industry 5.0: Leveraging AI for Predictive Maintenance and Risk Mitigation

International Journal For Multidisciplinary Research, Journal Year: 2024, Volume and Issue: 6(4)

Published: July 23, 2024

This integrative literature review investigates the transformative impact of artificial intelligence (AI) on supply chain management, addressing pressing need for efficiency and robustness through AI-driven predictive maintenance, machine learning (ML), decision support systems. By examining current literature, study highlights AI's potential to automate revolutionize operations, enhancing speed, accuracy, risk management capabilities while identifying significant challenges such as bias mitigation, algorithmic transparency, data privacy. The methodology involves a comprehensive scholarly articles, reports, academic publications, focusing AI applications in decision-making processes. analysis reveals improvements operational accuracy due AI, alongside concerns about biases, implementation issues. findings confirm but emphasize necessity ongoing supervision, regular audits, development models capable detecting rectifying anomalies. proposes creating roles Supply Chain Oversight Officer (AISCO), Compliance (AISCCO), Quality Assurance (AISQAO) ensure responsible utilization, maintaining integrity operations challenges. concludes that is promising transforming chains; however, careful crucial uphold resilience. Future research should prioritize longitudinal studies evaluate long-term impact, focus concerns, fair transparent integration technologies. These have implications practice policy, underscoring robust frameworks regulatory measures guide effective use chains.

Language: Английский

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Supply risk-aware alloy discovery and design : A case study on the MoNbTiVW system

Materialia, Journal Year: 2025, Volume and Issue: 39, P. 102332 - 102332

Published: Jan. 14, 2025

Language: Английский

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A systematic literature review on digital transformation in real estate: challenges and opportunities

Smart and Sustainable Built Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Purpose This study identifies key challenges to adopting smart real estate (SRE) technologies and offers insights recommendations enhance decision-making for stakeholders, including buyers property investors. Design/methodology/approach To achieve the aim of study, a rigorous research approach was employed, conducting an in-depth analysis 41 academic papers utilising PRISMA guidelines checklists. The chosen methodology also applies PEST (Political, Economic, Social Technological) framework identify factors influencing technology adoption in sector. Findings uncovers critical technologies, such as regulatory ambiguity, high implementation costs, societal resistance. reveals that unclear standards guidelines, coupled with financial burden implementation, are significant obstacles. Socially, resistance change difficulties integrating new prevalent. underscores potential artificial intelligence (AI) predictive analytics blockchain secure transactions records, though their is currently hindered by inadequate infrastructure challenges. These findings underscore need strategic interventions address these facilitate effective integration advanced sector, thereby enhancing industry innovation competitiveness. Practical implications stakeholders embrace effectively, conceptual contributing advancements. Originality/value study’s contribution offering execution tactics navigate utilise technology, driving

Language: Английский

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Integrating Marketing and Sales Strategies: Boosting Brand Visibility and Customer Engagement

International Journal of Scientific Research in Computer Science Engineering and Information Technology, Journal Year: 2025, Volume and Issue: 11(1), P. 1495 - 1514

Published: Feb. 3, 2025

This review examines the integration of marketing and sales strategies as a crucial approach for boosting brand visibility enhancing customer engagement in today's competitive business environment. The fusion efforts aims to create seamless journey, ensuring that potential customers receive consistent messaging experience at all touchpoints. By aligning sales, organizations can leverage strengths both functions drive better outcomes. process begins with establishment common goals metrics teams work towards. includes defining target audiences, setting clear objectives, developing unified message resonates customers. Collaborative planning sessions regular communication between help creating cohesive strategy addresses needs preferences effectively. One key elements this is use data analytics. sharing insights, develop more targeted campaigns personalized approaches. data-driven allows identification high-value prospects creation tailored content appeals specific segments market. Additionally, automation tools Customer Relationship Management (CRM) systems facilitate information tracking interactions across teams. Furthermore, plays vital role integrated approach. High-quality, relevant pain points provides value attract nurture leads through funnel. Sales engage meaningful conversations demonstrate company's expertise commitment solving their problems. benefits integrating include increased visibility, improved lead generation, higher conversion rates, stronger relationships. working together, efficient effective engaging customers, ultimately leading sustainable growth edge marketplace.

Language: Английский

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