Опубликована: Сен. 18, 2024
Язык: Английский
Magna Scientia Advanced Biology and Pharmacy, Год журнала: 2024, Номер 12(1), С. 045 - 059
Опубликована: Май 29, 2024
Public-Private Partnerships (PPPs) have emerged as a crucial mechanism for fostering innovation in the health sector globally. This review encapsulates lessons learned from diverse PPP models worldwide, highlighting their significance and impact. PPPs healthcare entail collaboration between governmental bodies, private enterprises, sometimes non-profit organizations to address challenges, such limited resources, expertise, infrastructure, while leveraging strengths of each sector. The success relies on effective governance structures, clear objectives, mutual accountability. One notable example is United Kingdom's NHS Innovation Accelerator, which partners with industry leaders fast-track adoption innovative technologies within National Health Service (NHS). Through this initiative, pioneering solutions, ranging digital platforms medical devices, been implemented, enhancing patient care operational efficiency. Similarly, low-resource settings like sub-Saharan Africa, played pivotal role improving access essential services. Projects Medicines Malaria Venture (MMV) collaborate pharmaceutical companies, governments, research institutions develop affordable antimalarial drugs tailored region's needs. In realm development, partnerships Coalition Epidemic Preparedness Innovations (CEPI) demonstrated power international addressing global threats. CEPI brings together philanthropic organizations, expedite development vaccines against emerging infectious diseases, witnessed during COVID-19 pandemic. However, challenges persist implementation, including complex regulatory frameworks, funding uncertainties, divergent interests among stakeholders. Lessons successful underscore importance transparent communication, stakeholder engagement, sustained political commitment. conclusion, represent dynamic avenue catalyzing driving transformative change. By drawing insights experiences policymakers practitioners can refine existing frameworks foster sustainable tackle evolving effectively.
Язык: Английский
Процитировано
22
International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(5), С. 1005 - 1036
Опубликована: Май 21, 2024
This paper explores the potential of leveraging data analytics and IoT technologies to enhance oral health programs in schools. By analyzing generated from devices such as smart toothbrushes trackers, schools can implement targeted interventions, promote better hygiene practices, prevent dental issues among students. comprehensive approach not only improves outcomes but also contributes overall student academic success. In recent years, integration Internet Things (IoT) has brought about significant transformations across multiple industries, with healthcare being a prominent example. Oral health, fundamental aspect well-being, stands benefit greatly these advancements. delves into harnessing elevate within educational institutions, particularly tapping wealth by devise foster improved preemptively address their yields tangible improvements holds promise enhancing bolstering revolutionized various sectors become driving force reshaping practices. Amidst advancements, often overlooked yet crucial emerges domain ripe for transformation. embarks on an exploration how amalgamation invigorate settings, delving vast pool strategically design interventions tailored individual needs, adoption superior proactively mitigate body. Keywords: Data Analytics, (IoT), Health, Schools, Dental Hygiene, Student Preventive Care.
Язык: Английский
Процитировано
21
International Medical Science Research Journal, Год журнала: 2024, Номер 4(5), С. 585 - 605
Опубликована: Май 21, 2024
This research delves into the nuanced realm of mental health management within healthcare organizations, addressing challenges and unveiling transformative strategies. The study underscores critical importance integrating broader policies by examining multifaceted role training, education, technology, interdisciplinary collaboration. Successful training initiatives empower professionals, reduce stigma, enhance collaboration, contributing to a health-literate workforce. Technology, including telehealth innovative solutions, acts as catalyst, overcoming barriers ushering in new era accessibility. Interdisciplinary collaboration fosters holistic care, while future direction involves comprehensive research, policy integration, technological innovation. In conclusion, proactive inclusive approach is crucial for shaping ecosystem where thrives central patient care. Keywords: Mental Health Management, Healthcare Organizations, Training Education, Policy Integration.
Язык: Английский
Процитировано
20
International Medical Science Research Journal, Год журнала: 2024, Номер 4(6), С. 647 - 667
Опубликована: Июнь 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.
Язык: Английский
Процитировано
19
Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1314 - 1334
Опубликована: Июнь 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.
Язык: Английский
Процитировано
19
World Journal of Biology Pharmacy and Health Sciences, Год журнала: 2024, Номер 18(2), С. 416 - 433
Опубликована: Май 29, 2024
Promoting health and educational equity is a multifaceted challenge that requires cross-disciplinary strategies collaborative efforts. This review explores various approaches aimed at enhancing public outcomes through integration synergy between education disciplines. Addressing disparities crucial for ensuring equitable opportunities all individuals. highlights the importance of interdisciplinary collaboration sectors in tackling complex issues such as socio-economic inequality, access to quality healthcare, attainment. Key include early childhood interventions focus on nutrition, healthcare access, learning programs support cognitive physical development. Additionally, school-based initiatives, including comprehensive wellness mental services, play vital role promoting student well-being academic success. Furthermore, community engagement partnerships schools, providers, local organizations are essential creating supportive environments foster equity. By working together, stakeholders can address underlying social determinants disparities, poverty, discrimination, inadequate resources. underscores evidence-based practices, data-driven decision-making, policy advocacy drive systemic change improve underserved populations. adopting leveraging collective expertise, we create healthier, more communities where everyone has opportunity thrive.
Язык: Английский
Процитировано
16
Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 453 - 502
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, Год журнала: 2025, Номер unknown, С. 811 - 814
Опубликована: Март 31, 2025
Язык: Английский
Процитировано
0
International Medical Science Research Journal, Год журнала: 2024, Номер 4(5), С. 521 - 543
Опубликована: Май 5, 2024
This paper proposes a novel approach to combating HIV drug resistance through the development of predictive models leveraging genomic data and artificial intelligence (AI). With increasing prevalence drug-resistant strains HIV, there is critical need for innovative strategies predict manage mutations, thereby optimizing treatment outcomes prolonging efficacy antiretroviral therapy (ART). Drawing on advances in genomics AI, this study outlines conceptual framework that can identify potential drug-resistance mutations genomes inform clinical decision-making. The proposed integrates from HIV-infected individuals with AI algorithms capable learning complex patterns within data. By analyzing sequences obtained HIV-positive patients, aim genetic variations associated resistance, likelihood development, guide selection appropriate regimens. holds promise personalized medicine care, enabling clinicians tailor based an individual's profile risk resistance. Key components include preprocessing extract relevant features, model training using machine techniques such as deep ensemble methods, validation performance cross-validation independent testing. Furthermore, integration data, history viral load measurements, enhances accuracy provides valuable insights into response dynamics.The represents paradigm shift offering proactive management surveillance. technologies, healthcare providers anticipate address emerging before they compromise efficacy. Ultimately, implementation improve patient outcomes, reduce transmission strains, advance global fight against HIV/AIDS. Keywords: Developing, Predictive Models, Drug Resistance, Genomic, Approach.
Язык: Английский
Процитировано
2
Computer Standards & Interfaces, Год журнала: 2024, Номер unknown, С. 103929 - 103929
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
2