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Scooped by
nrip
June 28, 2024 11:38 PM
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The healthcare industry, particularly hospitals, managed care groups and clinics catering to chronic illnesses are undergoing a profound transformation, thanks to the advancements in Technology including Automation Technologies and Artificial Intelligence. These technologies are not just enhancing existing treatment protocols and care processes; they're redefining the way hospitals and doctors operate, treat patients,speed up recovery and prevent health risks.
Embarking on an IT transformation journey is essential for modern healthcare institutions seeking to stay competitive and agile in a rapidly evolving digital landscape. What to Do ? Redesign from scratch Ensure Strong Management Seek Incremental Progress Breaking down large transformation projects into smaller, manageable phases can significantly reduce complexity. For example, instead of overhauling an entire electronic health record (EHR) system at once, start by digitizing patient intake forms. This allows for early wins, creates organizational momentum, and enables continuous assessment and adjustment - Read this helpful list at https://technology4doctors.blogspot.com/2024/06/best-practices-for-successful-it.html and contact either Plus91 or me directly to discuss.
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Scooped by
nrip
January 15, 9:56 PM
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A new report reveals a 50% reduction in remediation times for critical vulnerabilities within healthcare organizations. This marks a significant milestone in improving cybersecurity across critical infrastructure sectors. The “Cybersecurity Performance Goals Adoption” report highlights healthcare as one of the most engaged sectors in implementing voluntary cybersecurity guidelines Among the report’s findings, healthcare organizations demonstrated a notable decrease in known exploited vulnerabilities (KEVs). The average number of KEVs per organization dropped from 1.5 in 2022 to below 0.5 in 2024. Additionally, healthcare entities reduced their SSL vulnerability resolution times from nearly 200 days to just 12 days over the two-year analysis period. “This rapid improvement demonstrates the commitment of healthcare organizations to securing their networks and protecting patient data,” the report stated. Persistent Challenges: Email Security and OT Risks Despite significant progress, the report highlighted areas where healthcare organizations lagged. Only 2% of entities implemented a comprehensive email security configuration that includes Domain-based Message Authentication, Reporting, and Conformance (DMARC), Sender Policy Framework (SPF), and STARTTLS. “This gap exposes organizations to phishing attacks and email spoofing,” the report stated. Operational technology (OT) risks also presented a challenge, with 5% of healthcare organizations having exposed OT connections to the public internet. These connections often manage critical medical devices and infrastructure. “Unsecured OT systems pose a severe risk to patient safety and operational continuity,” the report warned. Actionable Recommendations for Healthcare IT Executives To further enhance cybersecurity, CISA recommends healthcare IT leaders adopt the following practices: - Implement Comprehensive Email Security
Configure DMARC, SPF, and STARTTLS to protect against phishing and email spoofing. - Regularly Audit Vulnerabilities
Use vulnerability scanning tools to identify and prioritize remediation of KEVs. - Upgrade Encryption Protocols
Replace outdated SSL and TLS configurations with agile, modern encryption standards. - Limit Exposed Services
Minimize internet-facing exploitable services, including RDP and FTP, to reduce attack vectors. - Strengthen OT Protections
Secure OT systems by limiting public internet access and enhancing internal safeguards. - Adopt Security.txt Files
Publish standardized vulnerability disclosure files to streamline communication and response to cyber incidents. read the original unedited article at https://healthsystemcio.com/2025/01/15/cisa-cyber-vulnerabilities-on-the-downswing-as-adoption-of-guidelines-gains-momentum-but-work-remains/
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Scooped by
nrip
October 9, 2024 11:01 AM
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Wearable sensors are increasingly being explored in health care, including in cancer care, for their potential in continuously monitoring patients. Despite their growing adoption, significant challenges remain in the quality and consistency of data collected from wearable sensors. Moreover, preprocessing pipelines to clean, transform, normalize, and standardize raw data have not yet been fully optimized.
What is this study all about?
This study aims to conduct a scoping review of preprocessing techniques used on raw wearable sensor data in cancer care, specifically focusing on methods implemented to ensure their readiness for artificial intelligence and machine learning (AI/ML) applications. The authors sought to understand the current landscape of approaches for handling issues, such as noise, missing values, normalization or standardization, and transformation, as well as techniques for extracting meaningful features from raw sensor outputs and converting them into usable formats for subsequent AI/ML analysis. The method adopted here was primarily literature review and analysis: The authors systematically searched IEEE Xplore, PubMed, Embase, and Scopus to identify potentially relevant studies for this review. The eligibility criteria included (1) mobile health and wearable sensor studies in cancer, (2) written and published in English, (3) published between January 2018 and December 2023, (4) full text available rather than abstracts, and (5) original studies published in peer-reviewed journals or conferences.
Conclusions: While wearable sensors are gaining traction in cancer care, realizing their full potential hinges on the ability to reliably translate raw outputs into high-quality data suitable for AI/ML applications.
This review found that researchers are using various preprocessing techniques to address this challenge, but there remains a lack of standardized best practices. The findings suggest a pressing need to develop and adopt uniform data quality and preprocessing workflows of wearable sensor data that can support the breadth of cancer research and varied patient populations. Given the diverse preprocessing techniques identified in the literature, there is an urgency for a framework that can guide researchers and clinicians in preparing wearable sensor data for AI/ML applications. read the unedited paper at https://mhealth.jmir.org/2024/1/e59587/
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Scooped by
nrip
October 8, 2024 1:36 PM
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Electronics giant Samsung discussed innovations in robotics and wearable devices as key technologies for delivering personalised care. In the HIMSS24 APAC keynote, "Smart Hospital Revolution: Redefining Patient Care with Technology," Samsung Medical Centre CIO, Dr Won-Chul Cha, and Dr Hon Pak, SVP and head of Digital Health at Samsung Electronics, discussed the importance of technological integration in healthcare. Dr Cha likened a smart hospital digital system to a human organism, hosting circuities and neurological networks that integrate. Integrated technologies, for example, can facilitate risk identification, pattern detection, and personalised care, he said. Integrated devices can also digitally bridge at-home users with timely medical interventions. read the original unedited article at https://www.healthcareitnews.com/news/asia/opening-digital-front-door-healthcare
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Scooped by
nrip
October 7, 2024 1:02 PM
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Rapidly evolving artificial intelligence (AI) is capable of structuralizing social, political, and economic determinants of health into the invisible algorithms that shape every facet of modern life. AI could be a powerful public health tool, enabling beneficial objectives like precision public health and medicine. Developing an AI governance framework that can maximize the benefits and minimize the risks of AI is a significant challenge. The benefits of public health engagement in AI governance could be extensive In this paper, the authors describe how several public health concepts could enhance AI governance. Public health theories, perspectives, and innovations could substantially enrich and improve AI governance, creating a more equitable and socially beneficial path for AI development. read more at https://publichealth.jmir.org/2024/1/e58358/
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Scooped by
nrip
May 6, 2024 10:26 PM
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The past several decades have seen an alarming spike in communicable disease outbreaks worldwide. Given a confluence of host, virologic, environmental, and human factors, experts agree that the next pandemic could already be on the horizon. In a globalized world, changes in how people use land and interact with their ecosystems—such as rapid deforestation and agricultural expansion—have resulted in humans and animals coming into more frequent and intense contact with one another, increasing opportunities for what is known as "zoonotic disease spillover." In the past few years alone, numerous disease outbreaks have had suspected or confirmed zoonotic origin, including mpox (formerly known as monkeypox), Ebola virus disease, dengue fever, and COVID-19. Experts also recognize the need to prepare for another possible Disease X, a term used to describe a currently unknown pathogen with pandemic potential. To direct resources toward the most high-consequence pathogens, it is paramount that leaders have an accurate concept of pandemic risk—for individual viruses as well as viral families. Several institutions are developing disease rankings at national and global levels, including the Priority Zoonotic Diseases Lists facilitated by the U.S. Centers for Disease Control and Prevention and the Research and Development (R&D) Blueprint created by the World Health Organization. The original SpillOver risk ranking framework (SpillOver 1.0), an open-source webtool launched by researchers at the University of California, Davis One Health Institute, estimated the relative spillover potential of wildlife-origin viruses to humans based on a series of host, viral, and environmental risk factors determined via expert opinion and scientific evidence. Its next iteration, SpillOvers 2.0, has rebranded to better describe the diversity and frequency of virus spillovers to people. The new platform uses a One Health approach, which recognizes the interdependence of human, animal, and environmental health. It will expand to include domestic animal and vector-borne viruses and assess pandemic risk rather than just spillover risk for wildlife viruses.
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Scooped by
nrip
February 27, 2024 1:31 PM
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Large language models (LLM's) are computer models able to perform a wide range of natural language processing tasks, including content generation, question answering, or language translation. The development of LLMs is a recent success in the field of generative artificial intelligence (AI). In recent months, a growing number of studies aimed to assess their potential applications in the field of medicine, including cancer care. In this review, the authors described the present published evidence for using LLMs in oncology. All the available studies assessed ChatGPT, an advanced language model developed by OpenAI, alone or compared to other LLMs, such as Google Bard, Chatsonic, and Perplexity. Although ChatGPT could provide adequate information on the screening or the management of specific solid tumors, it also demonstrated a significant error rate and a tendency toward providing obsolete data. Therefore, an accurate, expert-driven verification process remains mandatory to avoid the potential for misinformation and incorrect evidence. Overall, although this new generative AI-based technology has the potential to revolutionize the field of medicine, including that of cancer care, it will be necessary to develop rules to guide the application of these tools to maximize benefits and minimize risks.
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Scooped by
nrip
February 25, 2024 1:22 PM
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South Korea introduced a new health care IT system named the Narcotics Information Management System (NIMS) with the objective of managing all aspects of opioid use, including manufacturing, distribution, sales, disposal, etc. The authors conducted an analysis using national claims data from 45,582 patients diagnosed with musculoskeletal and connective tissue disorders between 2016 and 2020. The approach included using an interrupted time-series analysis and constructing segmented regression models. Within these models, the authors considered the primary intervention to be the implementation of NIMS, while we treated the COVID-19 outbreak as the secondary event. To comprehensively assess inappropriate opioid use, we examined 4 key indicators, as established in previous studies: (1) the proportion of patients on high-dose opioid treatment, (2) the proportion of patients receiving opioid prescriptions from multiple providers, (3) the overlap rate of opioid prescriptions per patient, and (4) the naloxone use rate among opioid users. This study suggests that, in its current form, the NIMS may not have brought significant improvements to the identified indicators of opioid overuse and misuse. Additionally, the COVID-19 outbreak exhibited no significant influence on opioid use patterns. The absence of real-time monitoring feature within the NIMS could be a key contributing factor. Further exploration and enhancements are needed to maximize the NIMS’ impact on curbing inappropriate opioid use. read the original at https://publichealth.jmir.org/2024/1/e47130/
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Scooped by
nrip
February 23, 2024 12:09 AM
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The recent SARS-CoV-2 pandemic underscored the effectiveness and rapid deployment of digital public health interventions, notably the digital proximity tracing apps, leveraging Bluetooth capabilities to trace and notify users about potential infection exposures. Digital proximity tracings showcased the promise of digital public health. As the world pivots from pandemic responses, it becomes imperative to address noncommunicable diseases (NCDs) that account for a vast majority of health care expenses and premature disability-adjusted life years lost. The narrative of digital transformation in the realm of NCD public health is distinct from infectious diseases. The power of artificial intelligence (AI) in this digital transformation is noteworthy. - AI can automate repetitive tasks, facilitating health care providers to prioritize personal interactions, especially those that cannot be digitalized like emotional support.
- Moreover, AI presents tools for individuals to be proactive in their health management. However, the human touch remains irreplaceable;
- AI serves as a companion guiding through the health care landscape.
Digital evolution, while revolutionary, poses its own set of challenges. Issues of equity and access are at the forefront. Vulnerable populations, whether due to economic constraints, geographical barriers, or digital illiteracy, face the threat of being marginalized further. This transformation mandates an inclusive strategy, focusing on not amplifying existing health disparities but eliminating them. Population-level digital interventions in NCD prevention demand societal agreement. Policies, like smoking bans or sugar taxes, though effective, might affect those not directly benefiting. Hence, all involved parties, from policy makers to the public, should have a balanced perspective on the advantages, risks, and expenses of these digital shifts. For a successful digital shift in public health, especially concerning NCDs, AI’s potential to enhance efficiency, effectiveness, user experience, and equity—the “quadruple aim”—is undeniable. However, it is vital that AI-driven initiatives in public health domains remain purposeful, offering improvements without compromising other objectives. The broader success of digital public health hinges on transparent benchmarks and criteria, ensuring maximum benefits without sidelining minorities or vulnerable groups. Especially in population-centric decisions, like resource allocation, AI’s ability to avoid bias is paramount. Therefore, the continuous involvement of stakeholders, including patients and minority groups, remains pivotal in the progression of AI-integrated digital public health. read the original paper at https://publichealth.jmir.org/2024/1/e49575/
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Scooped by
nrip
January 8, 2024 11:42 PM
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A new study has found that the evolutionary trajectory of a genome may be influenced by its evolutionary history, rather than determined by numerous factors and historical accidents This could allow scientists to explore which genes could be useful to tackle real-world issues such as antibiotic resistance, disease, and climate change. We can use this approach to synthesize new kinds of genetic constructs that could be used to develop new drugs or vaccines. The implications of the research are far-reaching and could lead to: - Novel Genome Design—allowing scientists to design synthetic genomes and providing a roadmap for the predictable manipulation of genetic material.
- Combating Antibiotic Resistance—Understanding the dependencies between genes can help identify the 'supporting cast' of genes that make antibiotic resistance possible, paving the way for targeted treatments.
- Climate Change Mitigation—Insights from the study could inform the design of microorganisms engineered to capture carbon or degrade pollutants, thereby contributing to efforts to combat climate change.
- Medical Applications—The predictability of gene interactions could revolutionize personalized medicine by providing new metrics for disease risk and treatment efficacy
more at the original source https://phys.org/news/2024-01-evolution-random-previously-thought.html
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Scooped by
nrip
July 27, 2021 3:40 PM
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Women with hormone receptor-positive, early-stage breast cancer who adhere to adjuvant endocrine therapy (AET) reduce the risk of cancer recurrence and mortality. AET, however, is associated with adverse symptoms that often result in poor adherence. We applied participatory action research (PAR) principles to conduct focus groups and interviews to refine and enhance a web-enabled app intervention that facilitates patient-provider communication about AET-related symptoms and other barriers to adherence. THRIVE app content reflects researchers’ partnership with a racially diverse sample of breast cancer survivors and healthcare providers and adherence to participatory design by incorporating patient-requested app features, app aesthetics, and message content. The app has the potential to improve AET adherence and quality of life among breast cancer survivors and reduce disparities in mortality rates for Black women by facilitating communication with healthcare providers. read more at https://www.docwirenews.com/abstracts/journal-abstracts/thrive-intervention-development-using-participatory-action-research-principles-to-guide-a-mhealth-app-based-intervention-to-improve-oncology-care-2/
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Rescooped by
nrip
from Infectious Diseases
July 25, 2021 10:31 AM
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The pandemics of major infectious diseases often cause public health, economic, and social problems. Virtual reality (VR) and augmented reality (AR), as two novel technologies, have been used in many fields for emergency management of disasters. The objective of this paper was to review VR and AR applications in the emergency management of infectious outbreaks with an emphasis on the COVID-19 outbreak. It appears that VR and AR technologies can play a positive role during infectious disease outbreaks. VR and AR have been widely used in the prevention and response phases of emergency management during infectious disease pandemics, such as SARS and Ebola pandemics, especially for educating and training purposes for the public. During the COVID-19 outbreak, these technologies have the potential to be used in various fields, including 1) clinical context (e.g., telehealth, drug discovery, patient assessment, mental health management), 2) entertainment (e.g., video call, meditation, gaming), 3) business and industry (e.g., holding meetings and conferences, marketing), and 4) education (e.g., in schools and universities, for healthcare providers, and VR-based content for improving public health). These technologies can be used in the above-mentioned fields by providing their different features for facilitating the challenges of COVID-19. However, to respond to COVID-19, all applications of VR and AR should be considered as a supportive approach alongside other information technologies. We believe that VR and AR have a substantial potential to impact the emergency management of COVID-19 or any infectious disease pandemics; however, these potentials need to be studied in a more robust manner. read the paper ta https://www.sciencedirect.com/science/article/pii/S2352914821000691
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nrip
July 23, 2021 4:11 PM
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Enabling bi-directional APIs is one way to offer speed, efficiency and security while preserving the most necessary components of human intervention. These closed-loop data retrieval processes will shape the future of ROI in healthcare for higher quality and faster intake and fulfillment. Bi-directional APIs give healthcare providers maximum data visibility and control. Here’s how they’re shaping the future of release of information. In recent years, a fire has been lit under healthcare’s use of application programming interfaces (APIs). Actually, it has been a FHIR [Fast Healthcare Interoperability Resources] as regulations encourage electronic medical record (EMR) vendors to continue to build its standards into their systems, expanding functionality and improving usability. But that does not mean the road to digitization and interoperability has been seamless, particularly as it relates to release of information (ROI). more at https://www.healthcareittoday.com/2021/07/22/healthcare-apis-a-two-way-street/
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nrip
January 16, 11:08 PM
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As we begin 2025, healthcare technology continues to evolve at an unprecedented pace. From AI-powered diagnostics to virtual reality training, these innovations are fundamentally transforming patient care and medical practice. In this article, Dr Vishala and Nrip provide an in-depth look at the technologies leading this revolution These include 1. Internet of Medical Things (IoMT): Connecting the Future of Healthcare 2. Artificial Intelligence and Machine Learning: The Cognitive Revolution 3. Digital Therapeutics (DTx): Software as Medicine 4. Virtual and Augmented Reality: Immersive Healthcare 5. Gamification: Engaging Patients in Their Health Journey As we progress through 2025, these technologies are converging to create a more connected, efficient, and patient-centered healthcare ecosystem. The integration of IoMT, AI, DTx, VR/AR, and gamification is not just advancing medical capability—it's fundamentally reimagining how we approach health and wellness. This technological renaissance in healthcare promises improved patient outcomes, enhanced operational efficiency, and greater accessibility to quality care. As these innovations continue to evolve, they pave the way for a future where healthcare is more precise, personalized, and proactive than ever before Which technology are you looking to adopt at your firm this year? Which new innovation are most closely watching? read the original unedited article at https://technology4doctors.blogspot.com/2025/01/digital-technologies-reshaping.html
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Scooped by
nrip
October 16, 2024 11:30 PM
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Supporting and understanding the health of patients with chronic diseases and cardiovascular disease (CVD) risk is often a major challenge. Health data are often used in providing feedback to patients, and visualization plays an important role in facilitating the interpretation and understanding of data and, thus, influencing patients’ behavior. Visual analytics enable efficient analysis and understanding of large datasets in real time. Digital health technologies can promote healthy lifestyle choices and assist in estimating CVD risk. This review aims to present the most-used visualization techniques to estimate CVD risk. Results: The final scoping review included 17 studies that used different methodologies, including descriptive, quantitative, and population-based studies. Some prognostic models, such as the Framingham Risk Profile, World Health Organization and International Society of Hypertension risk prediction charts, Cardiovascular Risk Score, and a simplified Persian atherosclerotic CVD risk stratification, were simpler and did not require laboratory tests, whereas others, including the Joint British Societies recommendations on the prevention of CVD, Systematic Coronary Risk Evaluation, and Framingham-Registre Gironí del COR, were more complex and required laboratory testing–related results. The most frequently used prognostic risk factors were age, sex, and blood pressure (16/17, 94% of the studies); smoking status (14/17, 82%); diabetes status (11/17, 65%); family history (10/17, 59%); high-density lipoprotein and total cholesterol (9/17, 53%); and triglycerides and low-density lipoprotein cholesterol (6/17, 35%). The most frequently used visualization techniques in the studies were visual cues (10/17, 59%), followed by bar charts (5/17, 29%) and graphs (4/17, 24%).
On the basis of the scoping review, we found that visualization is very rarely included in the prognostic models themselves even though technology-based interventions improve health care worker performance, knowledge, motivation, and compliance by integrating machine learning and visual analytics into applications to identify and respond to estimation of CVD risk.
Visualization aids in understanding risk factors and disease outcomes, improving bioinformatics and biomedicine. However, evidence on mobile health’s effectiveness in improving CVD outcomes is limited. read the unedited research paper at https://publichealth.jmir.org/2024/1/e60128/
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nrip
October 8, 2024 1:56 PM
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WellSpan Health is partnering with Hippocratic AI to launch the first patient-facing clinical GenAI healthcare agent. – The conversational AI-powered service will directly interact with patients, enhancing healthcare access, equity, and outcomes. The GenAI agent engages patients in comprehensive and empathetic conversations about their colorectal health, providing detailed transcripts to WellSpan clinicians for review. In some cases, the agent can transfer patients to a human clinician or facilitate follow-up calls. Future GenAI agents are being developed to support critical workflows like chronic care management, post-discharge follow-up for specific conditions, wellness surveys, health risk assessments, and pre-operative instructions. read the original unedited article at https://hitconsultant.net/2024/09/26/wellspan-health-launches-first-patient-facing-genai-healthcare-agent/
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nrip
October 7, 2024 4:03 PM
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A new way of diagnosing lung cancer with a blood draw is 10 times faster and 14 times more sensitive than earlier methods, researchers report. The microchip the researchers developed captures exosomes—tiny packages released by cells—from blood plasma to identify signs of lung cancer. Once thought to be trash ejected from cells for cleanup, researchers discovered in the past decade that exosomes are tiny parcels containing proteins or DNA and RNA fragments that are valuable for communication between cells. Although healthy cell exosomes move important signals throughout the body, cancer cell exosomes can help tumors spread by preparing tissues to accept tumor cells before they arrive. more at https://www.futurity.org/blood-draw-lung-cancer-diagnosis-3252152/
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nrip
June 2, 2024 12:35 AM
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Organoids, miniature and simplified in vitro model systems that mimic the structure and function of organs, have attracted considerable interest due to their promising applications in disease modeling, drug screening, personalized medicine, and tissue engineering. Organoids are three-dimensional structures that mimic the architecture and functions of various organs. They are grown in vitro from stem cells or other precursor cells and have been used to study the development and behavior of different organs, as well as for drug screening and disease modeling. Organoids are highly valued for their ability to recapitulate the complex microenvironments and functions of different organs, making them valuable tools for studying the mechanisms of disease and for testing potential treatment Despite the substantial success in cultivating physiologically relevant organoids, challenges remain concerning the complexities of their assembly and the difficulties associated with data analysis. The advent of AI-Enabled Organoids, which interfaces with artificial intelligence (AI), holds the potential to revolutionize the field by offering novel insights and methodologies that can expedite the development and clinical application of organoids. read this article which delineates the fundamental concepts and mechanisms underlying AI-Enabled Organoids, summarizing the prospective applications on rapid screening of construction strategies, cost-effective extraction of multiscale image features, streamlined analysis of multi-omics data, and precise preclinical evaluation and application.
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nrip
March 4, 2024 10:30 PM
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As we progress deeper into the digital age, the robust development and application of advanced artificial intelligence (AI) technology, specifically generative language models like ChatGPT (OpenAI), have potential implications in all sectors including medicine. ChatGPT, a generative language model launched by OpenAI in November 2022 has essentially has essentially revolutionized the IT world.. What makes ChatGPT a promising tool is the vast amounts of data used in its training and its ability to generate human-like conversations covering diverse topics. The unprecedented capacity of ChatGPT to generate human-like responses, refined through Reinforcement Learning with Human Feedback, could significantly reshape the pedagogical methodologies within medical education. The use of AI in medicine, including the use of generative language models, is often accompanied by challenges and contentions. Some common challenges include privacy, data security, algorithmic transparency and explainability, errors and liability, as well as regulatory issues associated with AI medicine. Lately, the use of generative language models in scientific writing has also stirred up controversies in the academic and publishing communities. Some journals have declined ChatGPT as a coauthor, whereas others have happily accepted manuscripts authored by ChatGPT Through a comprehensive review and the authors’ personal experiences, this viewpoint article elucidates the pros, cons, and ethical considerations of using ChatGPT within clinical medicine and notably, its implications for medical education. This exploration is crucial in a transformative era where AI could potentially augment human capability in the process of knowledge creation and dissemination, potentially revolutionizing medical education and clinical practice. The importance of maintaining academic integrity and professional standards is highlighted. The relevance of establishing clear guidelines for the responsible and ethical use of AI technologies in clinical medicine and medical education is also emphasized. read the whole article at https://mededu.jmir.org/2023/1/e47274
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nrip
February 25, 2024 4:09 PM
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Digital health tools, platforms, and artificial intelligence– or machine learning–based clinical decision support systems are increasingly part of health delivery approaches, with an ever-greater degree of system interaction. Critical to the successful deployment of these tools is their functional integration into existing clinical routines and workflows. This depends on system interoperability and on intuitive and safe user interface design. Its extremely important that research and efforts are directed towards minimizing emergent workflow stress and ensuring purposeful design for integration. Usability of tools in practice is as important as algorithm quality. Regulatory and health technology assessment frameworks recognize the importance of these factors to a certain extent, but their focus remains mainly on the individual product rather than on emergent system and workflow effects. The measurement of performance and user experience has so far been performed in ad hoc, nonstandardized ways by individual actors using their own evaluation approaches. This paper proposes that a standard framework for system-level and holistic evaluation which be built into interacting digital systems to enable systematic and standardized system-wide, multiproduct, postmarket surveillance and technology assessment. Such a system could be made available to developers through regulatory or assessment bodies as an application programming interface and could be a requirement for digital tool certification, just as interoperability is. This would enable health systems and tool developers to collect system-level data directly from real device use cases, enabling the controlled and safe delivery of systematic quality assessment or improvement studies suitable for the complexity and interconnectedness of clinical workflows using developing digital health technologies. read the entire paper at https://www.jmir.org/2023/1/e50158
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nrip
February 25, 2024 1:00 PM
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A strategic approach to chronic care management (CCM) is essential. This approach should integrate advanced technology with a deep comprehension of healthcare’s fundamental principles, effectively tackling the current challenges and proactively shaping the future of healthcare. Emphasizing patient-centered solutions, this methodology is set to revolutionize the management of chronic diseases, thereby impacting patient care and healthcare economics significantly. This strategy’s critical element is distinguishing between care management (CM) and case management. Care management represents a holistic approach to reducing health risks and costs across populations. It involves identifying at-risk populations, tailoring services to their needs, and deploying appropriate personnel for service delivery. Conversely, case management focuses more on individual patients, offering various services to aid in navigating the healthcare system, ensuring efficient care transitions, and addressing specific patient needs. Integrating Population Health Management (PHM) and CCM systems offers a solution to managing chronic diseases. PHM systems, which adopt a community-centered approach, work in tandem with CCM systems that concentrate on individual patient care. This synergy allows for effective management of both community health and individual patient needs read the rest of this piece at https://www.healthcareittoday.com/2024/02/22/transforming-chronic-care-management-a-comprehensive-technology-driven-approach/
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nrip
February 21, 2024 10:34 PM
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nrip
August 2, 2021 3:17 PM
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Scientists propose a modeling framework that could predict how antibiotic resistance will evolve in response to different drug combinations. A new framework may suggest which drug combinations would speed up, slow down, or even reverse antibiotic resistance. The research could help doctors optimize the choice, timing, dose, and sequence of antibiotics used to treat common infections in order to help halt the growing threat of antibiotic resistance to modern medicine. “Drug combinations are a particularly promising approach for slowing resistance, but the evolutionary impacts of combination therapy remain difficult to predict, especially in a clinical setting,” says Erida Gjini, a researcher at the University of Lisbon, Portugal, and first author of the paper in eLife. read more at https://www.futurity.org/antibiotic-resistance-drug-combinations-2605182-2/
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nrip
July 27, 2021 3:13 PM
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Silicone wristbands are just as good as traditional testing methods at detecting chemicals in the air that can be harmful during pregnancy. Inexpensive, convenient silicone wristbands can measure exposure to a class of chemicals that can be harmful during pregnancy, researchers report. The researchers found that the wristbands, when used as passive samplers, have the ability to bind smaller molecular weight semi-volatile polycyclic aromatic hydrocarbons (PAHs) in a similar pattern as active sampling. PAHs are a class of chemicals that occur naturally in coal, crude oil, and gasoline and are produced when coal, oil, gas, wood, garbage, and tobacco are burned. The use of wristbands is appealing because it is inexpensive and easy to wear,” access the study at https://doi.org/10.1038/s41370-021-00348-y read the original unedited article at https://www.futurity.org/silicone-wristbands-polycyclic-aromatic-hydrocarbons-chemicals-pregnancy-2602202/
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nrip
July 23, 2021 11:48 PM
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While the US debates the value of the modality, a South Korean survey finds that patients like to use audio-only telehealth platforms to connect with their care provider - but their providers aren’t so sure. While telehealth is not legally allowed in South Korea, the Ministry of Health and Welfare temporarily permitted its use due to hospital closures at the start of the pandemic. Between February 24 and March 7, 2020, 6,840 patients used audio-based telehealth. Researchers sent surveys to patients and providers alike to gauge their satisfaction with the telehealth platform, which includes landline telephones and online services without video. They asked questions about ease-of-use, interaction quality, reliability, satisfaction, and future use. Around 87 % of patients reported that they were satisfied with their provider interaction and felt they could effectively express their feelings during an audio-only telehealth visit. Most patients (87.1 %) also responded that their telehealth visit was just as reliable as an in-person visit would have been. Meanwhile, the providers’ opinions differed drastically. Less than 10 % of doctors and nurses were satisfied with their ability to interact with patients through an audio-only telehealth visit compared to in-person visits (7.3 % and 9 %, respectively). Only 14 % of providers felt that the visits were as reliable as an in-person visit. Patients and providers also had differing opinions on the convenience of telehealth. Nearly 80 % of patients were satisfied with the convenience of telehealth and found it easy to use. Providers were not as satisfied, with only 38.2 % of doctors and 30 percent of nurses reporting that they found telehealth convenient. Overall, providers felt the negatives outweighed the positives for audio-only telehealth. While 85.8 % of the doctors and nurses agreed that telehealth is appropriate for emergency situations such as a pandemic, only 27.7 said it would be appropriate at all times. In contrast, 40 % of the doctors and nurses surveyed said telehealth would be appropriate if it involved an audio-visual platform, saying it would be easier to fully examine and diagnose a patient’s condition. read more at https://mhealthintelligence.com/news/audio-only-telehealth-has-its-fans-patients-and-its-critics-providers
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Dieses Medikament wird verwendet, um mittelschwere bis starke Schmerzen zu lindern. KAUFEN SIE OXYCODON ONLINE Oxycodon gehört zu einer Klasse von Medikamenten, die als Opioid-Analgetika bekannt sind. Es funktioniert im Gehirn, um zu ändern, wie Ihr Körper fühlt und reagiert auf Schmerzen. Wir sind die beste Online-Apotheke in den USA und bringen Ihnen eine Vielzahl von sicheren. Hochwertige Medikamente zu ermäßigten Preisen. Sicherstellung der Lieferung nach Hause innerhalb des genannten Zeitrahmens auf sichere und sichere Weise. Wir sind eine primäre Online-Apotheke in den USA, die Patienten ausstattet. Ihre Betreuer mit den Premium-Generika, verschreibungspflichtige und rezeptfreie Medikamente in den Vereinigten Staaten von Amerika. Ein Expertenteam aus diesem Bereich hat hier mit dem einfachen Motiv gearbeitet. Medizin für alle für eine gute Gesundheit und ohne zusätzlichen Druck auf ihre monatlichen Ausgaben. Oxycodon in Deutschland rezeptfrei kostenlos kaufen
Hydrocodon Pillen, auch bekannt als Vicodin, sind für ein Foto in einer Apotheke in Montpelier, Vt. am Dienstag, 19. Februar 2013 angeordnet. Die Zahl der Todesfälle durch Drogenüberdosierung stieg im elften Jahr in Folge, wie Daten des Bundes zeigen, und die meisten von ihnen waren Unfälle mit süchtig machenden Schmerzmitteln, obwohl die Aufmerksamkeit für die Risiken dieser Medikamente wächst. Wie in den letzten Jahren, Opioid-Medikamente, die OxyContin und Vicodin enthalten waren das größte Problem, Beitrag zu 3 von 4 Medikamenten Überdosierung Todesfälle. (AP Photo/Toby Talbot)
Es wird auch für andere Arten von langjährigen Schmerzen verwendet, wenn schwächere Schmerzmittel, wie Paracetamol, Ibuprofen und Aspirin, nicht funktioniert haben.
Oxycodon ist nur auf Rezept erhältlich. Es kommt als Slow-Release-Tabletten, Kapseln und eine Flüssigkeit, die Sie schlucken. Es kann auch durch eine Injektion gegeben werden, aber dies geschieht in der Regel im Krankenhaus.
Oxycodon ist auch unter den Markennamen Oxynorm und OxyContin bekannt.
Es wird manchmal als Tablette gegeben, die auch ein Medikament namens Naloxon in ihm hat (Targinact). Dies wird verwendet, um bestimmte Nebenwirkungen zu verhindern, wie Verstopfung.
WIR SIND IHRE VERTRAUENSWÜRDIGEN OXYCODON ONLINE-APOTHEKEBei Buy Oxycodon sind wir einer der führenden Anbieter von Amphetamin in der Branche. Sie können Oxycodon online bei uns bestellen, indem Sie es einfach in den Warenkorb legen und zur Kasse gehen. Unsere Medikamente sind in Tablettenform erhältlich, von der Dosierung von 10 mg, 15 mg, 20 mg, 30 mg, 40 mg, 60 mg, 80 mg. Wir stellen Oxycodon nicht zum Verkauf, es sei denn, sie entsprechen den internationalen Qualitätsstandards.
Unter Berücksichtigung der Vertraulichkeit unserer Kunden, machen wir es zu einem Punkt, alle Aufträge diskret zu versenden. Darüber hinaus garantieren wir eine sichere Online-Transaktion mit unserer verschlüsselten Plattform. Um sicherzustellen, dass das Produkt nicht verändert wird, stellen wir das Siegel des Herstellers als Echtheitssiegel zur Verfügung. Wenn wir uns an die Ethik- und Compliance-Regeln der Branche halten, geben wir uns im Gegensatz zu Drittklassigen niemals unfairen Geschäften hin.
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