Paradigm Shift In Healthcare Research Articles

Artificial Intelligence in Pain Management: Advancing Translational Science in Digital Health Research from Bench to Bedside

Artificial Intelligence (AI) is rapidly transforming the landscape of healthcare, with particularly profound implications in the field of pain management. This chapter delves into the integration of AI-driven tools that revolutionize the way pain is assessed, monitored, and treated. Through the use of predictive modeling, real-time monitoring, and personalized treatment plans, AI significantly enhances the precision, efficiency, and effectiveness of pain management strategies. The discussion extends to various AI applications, shedding light on the ethical considerations that accompany these technological advancements, as well as outlining future research directions. Collectively, these insights underscore the immense potential of AI to not only improve pain management practices but also to significantly elevate patient outcomes. Central to this transformation is the role of translational science in bridging the gap between theoretical AI models and their practical, clinical applications. This "bench to bedside" approach ensures that innovations in AI are not merely confined to research environments but are actively integrated into real-world patient care. For instance, AI-powered predictive analytics in pain management, driven by sophisticated machine learning algorithms, have progressed from computational experiments to clinical trials, and ultimately, to widespread implementation in healthcare settings. These AI models are now being utilized in hospitals to assess patient pain levels in real-time, predict opioid requirements, and optimize pain management protocols. This progression exemplifies how translational science is facilitating a paradigm shift in healthcare, positioning AI as an indispensable tool in modern pain management.

The Impact of Digital Health on Improving Patient Outcomes

Digital health represents a paradigm shift in healthcare, bringing together cutting-edge technology such as telemedicine, wearable devices, and mobile health applications. These technologies have transformed how patients are monitored, diagnosed, and treated, resulting in more individualized care and better patient outcomes. The advancement of digital health has enabled more efficient data collecting, real-time feedback, and proactive management of chronic diseases. Despite its numerous advantages, the adoption of digital health solutions confronts hurdles such as privacy issues, technical limits, and the digital divide. This study investigates the role of digital health in improving patient outcomes, presents successful case studies, and considers potential barriers to widespread adoption. Keywords: Digital health, patient outcomes, telemedicine, wearable devices, personalized care, healthcare technology, chronic disease management.

Statistics in Personalized Medicine: Challenges and Innovations

Personalized medicine represents a paradigm shift in healthcare, aiming to tailor medical treatments to individual patients based on their unique genetic profiles, lifestyle factors, and environmental influences. At the forefront of this transformation lies statistics, which plays a pivotal role in integrating diverse data sources, identifying biomarkers, and developing predictive models that guide personalized treatment decisions. However, statistics in personalized medicine face challenges such as data integration complexities, small sample sizes, and ethical considerations. Despite these challenges, innovative statistical approaches including machine learning, Bayesian inference, and multi-omics integration are driving advancements. The future of statistics in personalized medicine lies in integrating multi-omics data, adopting artificial intelligence for predictive modeling, enhancing quantitative pharmacology, leveraging real-world evidence, and addressing ethical and regulatory frameworks. By advancing these fronts, statistics holds the promise to optimize treatment outcomes, improve patient care, and redefine the landscape of healthcare delivery in the 21st century. Keywords: Personalized medicine, Statistics, Data integration, Machine learning, Ethical considerations

Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review

The fusion of blockchain and artificial intelligence (AI) marks a paradigm shift in healthcare, addressing critical challenges in securing electronic health records (EHRs), ensuring data privacy, and facilitating secure data transmission. This study provides a comprehensive analysis of the adoption of blockchain and AI within healthcare, spotlighting their role in fortifying security and transparency leading the trajectory for a promising future in the realm of healthcare. Our study, employing the PRISMA model, scrutinized 402 relevant articles, employing a narrative analysis to explore the fusion of blockchain and AI in healthcare. The review includes the architecture of AI and blockchain, examines AI applications with and without blockchain integration, and elucidates the interdependency between AI and blockchain. The major findings include: (i) it protects data transfer, and digital records, and provides security; (ii) enhances EHR security and COVID-19 data transmission, thereby bolstering healthcare efficiency and reliability through precise assessment metrics; (iii) addresses challenges like data security, privacy, and decentralized computing, forming a robust tripod. The fusion of blockchain and AI revolutionize healthcare by securing EHRs, and enhancing privacy, and security. Private blockchain adoption reflects the sector’s commitment to data security, leading to improved efficiency and accessibility. This convergence promises enhanced disease identification, response, and overall healthcare efficacy, and addresses key sector challenges. Further exploration of advanced AI features integrated with blockchain promises to enhance outcomes, shaping the future of global healthcare delivery with guaranteed data security, privacy, and innovation.

Exploring Synergistic Effects of Bioprinted Extracellular Vesicles for Skin Regeneration.

Regenerative medicine represents a paradigm shift in healthcare, aiming to restore tissue and organ function through innovative therapeutic strategies. Among these, bioprinting and extracellular vesicles (EVs) have emerged as promising techniques for tissue rejuvenation. EVs are small lipid membrane particles secreted by cells, known for their role as potent mediators of intercellular communication through the exchange of proteins, genetic material, and other biological components. The integration of 3D bioprinting technology with EVs offers a novel approach to tissue engineering, enabling the precise deposition of EV-loaded bioinks to construct complex three-dimensional (3D) tissue architectures. Unlike traditional cell-based approaches, bioprinted EVs eliminate the need for live cells, thereby mitigating regulatory and financial obstacles associated with cell therapy. By leveraging the synergistic effects of EVs and bioprinting, researchers aim to enhance the therapeutic outcomes of skin regeneration while addressing current limitations in conventional treatments. This review explores the evolving landscape of bioprinted EVs as a transformative approach for skin regeneration. Furthermore, it discusses the challenges and future directions in harnessing this innovative therapy for clinical applications, emphasizing the need for interdisciplinary collaboration and continued scientific inquiry to unlock its full therapeutic potential.

Biogenic metallic nanoparticles: from green synthesis to clinical translation.

Biogenic metallic nanoparticles (NPs) have garnered significant attention in recent years due to their unique properties and various applications in different fields. NPs, including gold, silver, zinc oxide, copper, titanium, and magnesium oxide NPs, have attracted considerable interest. Green synthesis approaches, utilizing natural products, offer advantages such as sustainability and environmental friendliness. The theranostics applications of these NPs hold immense significance in the fields of medicine and diagnostics. The review explores intricate cellular uptake pathways, internalization dynamics, reactive oxygen species generation, and ensuing inflammatory responses, shedding light on the intricate mechanisms governing their behaviour at a molecular level. Intriguingly, biogenic metallic NPs exhibit a wide array of applications in medicine, including but not limited to anti-inflammatory, anticancer, anti-diabetic, anti-plasmodial, antiviral properties and radical scavenging efficacy. Their potential in personalized medicine stands out, with a focus on tailoring treatments to individual patients based on these NPs' unique attributes and targeted delivery capabilities. The article culminates in emphasizing the role of biogenic metallic NPs in shaping the landscape of personalized medicine. Harnessing their unique properties for tailored therapeutics, diagnostics and targeted interventions, these NPs pave the way for a paradigm shift in healthcare, promising enhanced efficacy and reduced adverse effects.

Effect of real-time data-driven physician engagement on appropriate precision oncology testing.

11168 Background: Precision medicine is a paradigm shift in healthcare: 24% of all FDA approvals are precision medicines, with 67% of new approvals relying on companion or complementary testing or on diagnostics prior to clinical use. Yet a recent publication indicates that approximately 64% of potentially eligible patients could be lost due to various clinical practice gaps along patient journey (Sadik et al JCO 2022). Low prevalence biomarker testing is proven to be one of the critical determinants of missed therapy, potentially due to poor physician awareness. The increasingly advanced machine learning (ML) and natural language processing (NLP)-based ability to label, analyze, and segment data can be utilized to monitor and influence testing behavior in real-time. We hypothesize that a real-time data-driven physician-targeted digital engagement can increase biomarker testing rate and in turn enhance patient identification for precision therapies. Methods: Unstructured real-world, real-time biomarker testing reports were collected from 494 laboratories across the US. These testing reports were first curated, labeled and extracted via ML and NLP-based technologies to allow data analysis and reveal testing behavior. Suboptimal testing behavior was defined as no requisition of the selected novel biomarker as part of the diagnostic workups. Physicians who identified as having suboptimal testing behavior were selected as candidates to receive a personalized digital engagement over a 4-week period. The digital engagement's purpose was to raise clinical awareness towards the novel biomarker testing. The follow-up testing behavior was analyzed again over laboratory reports collected from 26-weeks’ time after the initial engagement. Results: 822 physicians were identified with suboptimal testing behavior and selected to receive 4 weeks' follow-up digital engagement. 271 out of 822 (33%) recipients were successfully engaged shown as open and read the digital communication. 42 (~15%) physicians reacted to the communications and ordered the new test at least once during this period. The initial 4 weeks' engagement was observed to be the most impactful, when 23 out of the 42 (~55%) physicians ordered the novel biomarker test for the first time.71 new therapy-eligible patients were identified via data-driven targeted physician digital engagement during the 26 weeks’ follow-up period. Conclusions: This study illustrates the value of data in influencing or reinforcing testing behaviors and emphasizes the value of data-driven physician-targeted digital engagement in addressing clinical practice gaps which in turn, drive patient identification to match potential eligible precision therapies.

The Amalgamation of Federated Learning and Explainable Artificial Intelligence for the Internet of Medical Things: A Review

Abstract: The Internet of Medical Things (IoMT) has emerged as a paradigm shift in healthcare, integrating the Internet of Things (IoT) with medical devices, sensors, and healthcare systems. From peripheral devices that monitor vital signs to remote patient monitoring systems and smart hospitals, IoMT provides a vast array of applications that empower healthcare professionals. However, the integration of IoMT presents numerous obstacles, such as data security, privacy concerns, interoperability, scalability, and ethical considerations. For the successful integration and deployment of IoMT, addressing these obstacles is essential. Federated Learning (FL) permits collaborative model training while maintaining data privacy in distributed environments like IoMT. By incorporating Explainable Artificial Intelligence (XAI) techniques, the resulting models become more interpretable and transparent, enabling healthcare professionals to comprehend the underlying decision-making processes. This integration not only improves the credibility of Artificial Intelligence models but also facilitates the detection of biases, errors, and peculiar patterns in the data. The combination of FL and XAI contributes to the development of more privacy-preserving, trustworthy, and explainable AI systems, which are essential for the development of dependable and ethically sound IoMT applications. Hence, the aim of this paper is to conduct a literature review on the amalgamation of FL and XAI for IoMT.

Can Stem Cell Therapy be an Effective Therapeutic Option for Complex and Neurological Conditions?

This article explores the feasibility and potential benefits of stem cell therapy as a promising therapeutic intervention for individuals facing severe behavioral and cognitive impairments, targeting underlying neurological mechanisms to offer potential symptom improvement and function restoration, thereby enhancing the quality of life for patients and potentially alleviating stress and burnout among caregivers. The aims of the study include investigating the efficacy of stem cell therapy in addressing these impairments and evaluating its potential to alleviate caregiver burden. Through a comprehensive review of existing literature, clinical trials, and studies, this research synthesizes the mechanisms of stem cell therapy, potential applications, clinical trial outcomes, caregiver experiences, and economic implications. The methods employed involve analyzing diverse data sources to provide a holistic understanding of the possibilities and challenges associated with stem cell therapy. Key outcomes of the study include highlighting promising results from clinical trials targeting conditions such as autism spectrum disorder, Parkinson's disease, and Crohn's disease, which underscore the transformative potential of stem cell therapy in patient care. Additionally, economic implications suggest potential reductions in healthcare costs and alleviation of financial strain on individuals, families, and healthcare providers. Stem cell therapy represents a paradigm shift in healthcare, promising to redefine treatment approaches and alleviate broader societal burdens associated with complex neurological conditions. The relevance of the study lies in emphasizing the need for continued research, ethical considerations, and multidisciplinary collaboration to ensure the safe and effective integration of stem cell therapy into clinical practice, ultimately offering new hope and improved care for patients, caregivers, and healthcare systems worldwide.

The Intersection of Plastic Electronics and Medical Innovation

The aging global population has catalyzed a paradigm shift in healthcare, emphasizing disease prevention over treatment and underscoring the need for large-scale, long-term monitoring of physiological parameters. Wearable health monitoring devices have emerged as a pivotal solution, offering real-time physiological data collection across prevention, treatment, and rehabilitation phases, thus revolutionizing traditional health monitoring approaches. This paper explores the integration of advanced materials—conductive polymers, flexible carbon nanomaterial electrodes, and metal foil substrates—into wearable health technologies. These materials enhance device flexibility, biocompatibility, and non-intrusive monitoring capabilities, providing medical-grade data crucial for early diagnosis and treatment guidance. With the wearable device market projected to expand significantly, fueled by the Internet of Things (IoT) and device miniaturization, this study delves into the technological advancements in detection technologies for electrophysiological, physical, biochemical, and photoelectric signals. It also examines the challenges and future directions in wearable health devices, focusing on material innovation, device miniaturization, and the integration of plastic electronics to improve wearability, sustainability, and interactivity. Through systematic analysis, this paper aims to highlight the transformative impact of wearable health technologies on enhancing patient care, facilitating early disease detection, and offering personalized health management solutions.

Telehealth Monitoring System for Chronic Disease Management

Telehealth Monitoring System for Chronic Disease Management

A Bibliometric Analysis of Value Creation and Capture in Biomedical Engineering Research

The field of biomedical engineering has brought about a paradigm shift in healthcare, revolutionizing the creation and appropriation of value within the medical sector. This study delves into this transformative phenomenon by conducting a comprehensive bibliometric analysis of the biomedical engineering literature, aiming to elucidate the landscape of value creation and capture. Utilizing bibliometric tools and VOSviewer, we analyzed data from the Scopus database spanning from 2000 to 2024. Through citation analysis and keyword co-occurrence, we identified key authors, articles, journals, countries, and emerging trends in the realm of value creation and capture in biomedical engineering. Our findings not only shed light on the current state of research but also pinpoint areas for future investigation, thus contributing to the advancement of knowledge in this field. This paper serves as a roadmap for researchers, providing valuable insights into the dynamics of value creation and capture in biomedical engineering, and paving the way for future research endeavors

Exploring the landscape of AI-assisted decision-making in head and neck cancer treatment: a comparative analysis of NCCN guidelines and ChatGPT responses.

Recent breakthroughs in natural language processing and machine learning, exemplified by ChatGPT, have spurred a paradigm shift in healthcare. Released by OpenAI in November 2022, ChatGPT rapidly gained global attention. Trained on massive text datasets, this large language model holds immense potential to revolutionize healthcare. However, existing literature often overlooks the need for rigorous validation and real-world applicability. This head-to-head comparative study assesses ChatGPT's capabilities in providing therapeutic recommendations for head and neck cancers. Simulating every NCCN Guidelines scenarios. ChatGPT is queried on primary treatments, adjuvant treatment, and follow-up, with responses compared to the NCCN Guidelines. Performance metrics, including sensitivity, specificity, and F1 score, are employed for assessment. The study includes 68 hypothetical cases and 204 clinical scenarios. ChatGPT exhibits promising capabilities in addressing NCCN-related queries, achieving high sensitivity and overall accuracy across primary treatment, adjuvant treatment, and follow-up. The study's metrics showcase robustness in providing relevant suggestions. However, a few inaccuracies are noted, especially in primary treatment scenarios. Our study highlights the proficiency of ChatGPT in providing treatment suggestions. The model's alignment with the NCCN Guidelines sets the stage for a nuanced exploration of AI's evolving role in oncological decision support. However, challenges related to the interpretability of AI in clinical decision-making and the importance of clinicians understanding the underlying principles of AI models remain unexplored. As AI continues to advance, collaborative efforts between models and medical experts are deemed essential for unlocking new frontiers in personalized cancer care.

Real-Time Remote Patient Monitoring: A Review of Biosensors Integrated with Multi-Hop IoT Systems via Cloud Connectivity

This comprehensive review paper explores the intricate integration of biosensors with multi-hop Internet of Things (IoT) systems, representing a paradigm shift in healthcare through real-time remote patient monitoring. The strategic deployment of biosensors in different locations in medical facilities, intricately connected to multiple microcontrollers, serves as a cornerstone in the establishment of robust multi-hop IoT networks. This paper highlights the role of this multi-hop IoT network, which efficiently facilitates the seamless transmission of vital health data to a centralized server. Crucially, the utilization of cloud connectivity emerges as a linchpin in this integration, providing a secure and scalable platform for remote patient monitoring. This cloud-based approach not only improves the accessibility of critical health information but also transcends physical limitations, allowing healthcare providers to monitor patients in real-time from any location. This paper highlights the transformative potential of this integration in overcoming traditional healthcare limitations through real-time remote patient monitoring.

Understanding Mental Health Challenges in Cardiovascular Care.

There is a profound link between cardiovascular health and mental well-being. This narrative review shows that heart and mental health are not isolated domains but deeply interconnected, influencing each other. It describes how cardiovascular diseases (CVDs) can cause mental health issues such as stress, anxiety, and depression. It also explains how these mental conditions can, in turn, worsen or raise the risk of CVDs. In addition, it emphasizes the necessity of a holistic approach to healthcare that integrates the treatment of physical symptoms of CVDs with interventions aimed at addressing mental health issues. This approach advocates for comprehensive care strategies that include psychotherapy, pharmacological treatments, lifestyle modifications, and digital health technologies. It also highlights the significant role of family and social support in recovery and discusses barriers to integrating mental health care in cardiovascular treatment. The article argues for a paradigm shift in healthcare towards more inclusive and integrated care models. The authors hope to foster a healthcare environment that prioritizes holistic care by increasing awareness about the connection between heart and mind. The call to action includes policy changes and healthcare system reforms aimed at facilitating the integration of mental health services into cardiovascular care, ultimately leading to improved outcomes for patients with CVDs and associated mental health issues.

Artificial intelligence in parasitic disease control: A paradigm shift in health care.

Parasitic diseases, including malaria, leishmaniasis, and trypanosomiasis, continue to plague populations worldwide, particularly in resource-limited settings and disproportionately affecting vulnerable populations. It has limited the use of conventional health-care delivery and disease control approaches and necessitated exploring innovative strategies. In this direction, artificial intelligence (AI) has emerged as a transformative tool with immense promise in parasitic disease control, offering the potential for enhanced diagnostics, precision drug discovery, predictive modeling, and personalized treatment. Predictive AI algorithms have assisted in understanding parasite transmission patterns and outbreaks by analyzing vast amounts of epidemiological data, environmental factors, and population demographics. This has strengthened public health interventions, resource allocation, and outbreak preparedness strategies, enabling proactive measures to mitigate disease spread. In diagnostics, AI-enabled accurate and rapid identification of parasites by analyzing microscopic images. This capability is particularly valuable in remote regions with limited access to diagnostic facilities. AI-driven computational methods have also assisted in drug discovery for parasitic diseases by identifying novel drug targets and predicting the efficacy and safety of potential drug candidates. This approach has streamlined drug development, leading to more effective and targeted therapies. This article reviews these current developments and their transformative impacts on the health-care sector. It also assessed the hurdles that require attention before these transformations can be realized in real-life scenarios.

Green hospitals face to climate change: Between sobriety and resilience

Climate change poses a critical challenge to global health, influencing social and environmental determinants such as housing, air and water quality, and food security. This article explores the profound impact of climate change on health, projecting an additional 250,000 annual deaths from various climate-related diseases between 2030 and 2050. Healthcare systems significantly contribute to global carbon emissions. The concept of the “Green Hospital” is introduced as a paradigm shift in healthcare, focusing on optimizing resource efficiency and minimizing environmental impact. This concept encompasses renewable energy integration, natural lighting, sustainable materials, green roofs, and smart building management systems. Several challenges remain major, such as medical waste management, water conservation, chemical use, pollution, and plastic usage in healthcare settings. Moreover, obstacles to green hospital initiatives should be resolved, including system redundancy, regulatory compliance, operational demands, financial constraints, and cultural resistance. Conclusively, an urgent reformation of healthcare systems is needed to align with eco-friendly and sustainable practices, highlighting the necessity to reduce CO2 emissions and manage resources and waste more effectively to meet the evolving health needs of a growing and aging global population.

Relevance Of Artificial Intelligence In Healthcare: An Exhaustive Review

Relevance Of Artificial Intelligence In Healthcare: An Exhaustive Review

Virulent Porphyromonas gingivalis as the root cause of chronic inflammation‐a Chronic Oral Health Perspective

AbstractOral health professionals are the forefront of preventing and treating not only dental and periodontal diseases, but also a growing list of systemic conditions associated with specific periodontal pathogens such as P. gingivalis (Pg). The oral‐systemic connection offers dental professionals an opportunity to positively influence patients’ overall health. Armed with the ability to transform its own environment and the entire periodontal microbiome, as well as modify the host response, the influence of Pg extends beyond the oral cavity. Beyond the neuroinflammatory effects discussed in this session it is capable of both releasing complex virulence factors/toxins and translocating and invading distant tissues and organs and is involved in the pathogenesis of systemic diseases including cardiovascular disease, atherosclerosis, hypertension, myocarditis, and myocardial infarction. This periodontal pathogen also impacts autoimmune diseases including rheumatoid arthritis; neurodegenerative diseases such as Alzheimer’s disease and AD‐related brain atrophy; several cancers‐oral, esophageal, and pancreatic; and metabolic diseases such as diabetes mellitus. Pg by limiting the complement cascade and restraining leukocyte death by activating and exploiting the C5a‐receptor signaling pathway. Another viable conduit in systemic dysbiosis and immune dysfunction is the translocation of Pg with its microbiome‐altering abilities and its coaggregation pathobiont actions found in the gut flora. Studies on murine models that introduced Pg into the gut demonstrated an altered intestinal microflora and increased manifestation or aggravation of liver disease, arthritis, including an increase in the production of proinflammatory cytokines observed at both the intestinal and extra‐intestinal levels. Dental professionals will most likely be one of the major healthcare delivery systems to bring a paradigm shift in healthcare and medicine using novel companion diagnostics and treatments to early screening and treatment of virulent Pg infections in the general population thereby greatly reducing the onset of multiple major systemic inflammatory driven chronic diseases. Dental professionals will most likely be one of the major healthcare delivery systems to bring a paradigm shift in healthcare and medicine by using novel companion diagnostics and treatments to early screening and treatment of virulent Pg infections in the general population thereby greatly reducing the onset of multiple major systemic inflammatory driven chronic diseases.

Exploring the Interplay of Healthcare, Spirituality, and Urban Well-Being

This perspective article discusses the relationship between religion, spirituality and health and emphasizes their continuing importance in today’s world. The article examines the portrayal of moderation in religious texts, such as the teachings of mindful eating, the mindfulness approach, and the concept of fasting in the context of current research on intermittent fasting. This article accentuates the connection between body and soul and attempts to offer a perspective that combines medicine and religious wisdom. It discusses the modern understanding of ancient wisdom to understand the complex relationship between religion, spirituality and health and its effect on human well-being. By linking ancient wisdom with relevant contemporary trends, we seek to illuminate new dimensions of holistic health care and underline the important role of interdisciplinary research. We also look at the general history of health, spirituality and urban landscapes and highlight their relevance today. Furthermore, we aim to contribute to critical theology by highlighting perspectives that link spiritual practices to measurable physiological outcomes. The study promotes a paradigm shift in healthcare in which spirituality is recognized as an important determinant of health. Future experiments are proposed to unravel the complex mechanisms by which spiritual practices influence well-being and pave the way for evidence-based interventions. In developing cities where intergenerational health is a priority, our findings argue for sustainable societies based on the enduring wisdom of spirituality. This study serves as a guidepost for future research aimed at a deeper understanding of the relationship between spirituality, health, and the urban environment.