Cancer-associated fibroblasts (CAFs) based model reveals potential for predicting bladder cancer patients’ prognoses and immunotherapy responses DOI Open Access
Mengyuan Dong, Xu Zhang

Journal of Cancer Metastasis and Treatment, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 1, 2024

Aim: The purpose of this study is to enhance the understanding bladder cancer and role cancer-associated fibroblasts (CAFs) in its progression. We aim identify CAF-specific biomarkers develop a prognostic prediction model based on CAFs, thereby contributing advancement treatment strategies identification predictive for cancer. Method: employed single-cell RNA sequencing detect CAFs cells. Bladder cohorts were categorized into low- high-CAF groups using ssGSEA algorithm. also explored association between CAF-related scores, immune-related cells, immune checkpoint-related genes. Furthermore, we performed GSVA analysis understand biological features their link various cancer-related pathways. Result: Ten genes identified as CAF markers A significant difference was found with 2712 differentially expressed low-CAF tissues. CAFs-based included nine (ALDH1L2, AL450384.2, EMP1, LINC02362, WFIKKN1, GOLGA8A, POU5F1, AL354919.2, PTPRR), which are potentially crucial predicting prognosis. revealed involvement several pathways, such WNT, toll-like receptor, TGF-beta, MAPK, MTOR signaling model. Conclusion: This highlights progression prognosis constructed provide valuable insights future research potential therapeutic targets. CAF-dependent pathways promising development new treatments improving patients.

Language: Английский

Artificial intelligence research: A review on dominant themes, methods, frameworks and future research directions DOI Creative Commons
Kingsley Ofosu‐Ampong

Telematics and Informatics Reports, Journal Year: 2024, Volume and Issue: 14, P. 100127 - 100127

Published: March 7, 2024

This article presents an analysis of artificial intelligence (AI) in information systems and innovation-related journals to determine the current issues stock knowledge AI literature, research methodology, frameworks, level conceptual approaches identify gaps for future investigations. A total 85 peer-reviewed articles from 2020 2023 were used analysis. The findings show that extant literature is skewed towards prevalence technological highlights relatively lower focus on other themes, such as contextual co-creation issues, conceptualisation, application domains. While there have been increasing with intelligence, three identified areas security concern are data security, model network security. Furthermore, review found contemporary AI, which continually drives boundaries computational capabilities tackle increasingly intricate decision-making challenges, distinguishes itself earlier iterations two primary aspects significantly affect organisational learning dealing AI's potential: autonomy learnability. study contributes by providing insights into approaches, framework help

Language: Английский

Citations

26
Empowering Healthcare With IoMT: Evolution, Machine Learning Integration, Security, and Interoperability Challenges DOI Creative Commons

G. R. Pradyumna,

Roopa B. Hegde,

K. B. Bommegowda

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 20603 - 20623

Published: Jan. 1, 2024

The Internet of Medical Things (IoMT) is the subset (IoT) that connects multiple medical devices, collect information/data from and transmits process data in real-time. IoMT crucial for increasing electronic device accuracy, reliability, productivity healthcare industry. has emerged as a next-generation bio-analytical tool converges network-linked biomedical devices with relevant software applications advancing human health. Adapting associated technologies fixed several problems using telemedicine, remote monitoring, sensors, robotics, etc. However, adopting large population challenging due to extensive management, privacy, security, upgradation, scalability, Although significant research been carried out this domain, identifying emerging trends highlighting technological advancement challenges within required its success. Moreover, it will aid policymakers, scientists, practitioners, researchers measure pertinence sectors more efficiently. This review discusses evolution IoMT, Machine Learning Integration, Security, interoperability devices.

Language: Английский

Citations

22
Smart Solutions for Diet-Related Disease Management: Connected Care, Remote Health Monitoring Systems, and Integrated Insights for Advanced Evaluation DOI Creative Commons

Laura-Ioana Coman,

Marilena Ianculescu,

Elena-Anca Paraschiv

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(6), P. 2351 - 2351

Published: March 11, 2024

The prevalence of diet-related diseases underscores the imperative for innovative management approaches. deployment smart solutions signifies a paradigmatic evolution, capitalising on advanced technologies to enhance precision and efficacy. This paper aims present explore diseases, focusing leveraging technologies, such as connected care, Internet Medical Things (IoMT), remote health monitoring systems (RHMS), address rising diseases. transformative approach is exemplified in case studies tailored RHMS capabilities. showcase potential three introducing novel evaluation method their customisation proactive conditions influenced by dietary habits. RO-SmartAgeing System uniquely addresses age-related aspects, providing an integrated that considers long-term impact choices ageing, marking perspective healthcare. NeuroPredict Platform, complex neuroinformatics, enhances understanding connections between brain health, nutrition, overall well-being, contributing insights healthcare assessments. Focused liver monitoring, HepatoConect system delivers real-time data personalized recommendations, offering distinctive disease management. By integrating cutting-edge these transcend traditional boundaries.

Language: Английский

Citations

10
Prediction and detection of terminal diseases using Internet of Medical Things: A review DOI

Akeem Temitope Otapo,

Alice Othmani, Ghazaleh Khodabandelou

et al.

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 188, P. 109835 - 109835

Published: Feb. 24, 2025

Language: Английский

Citations

1
Amalgamation of Blockchain with resource-constrained IoT devices for healthcare applications – State of art, challenges and future directions DOI Creative Commons
Pawan Hegde, Praveen Kumar Reddy Maddikunta

International Journal of Cognitive Computing in Engineering, Journal Year: 2023, Volume and Issue: 4, P. 220 - 239

Published: June 1, 2023

Healthcare is an emerging sector with the integration of technologies aiming to improve Quality Life individual through various medical services. Most healthcare services work sensitive information patients either collected in real-time using body implanted sensors or IoT enabled devices during diagnosis a centrally controlled model. But, traditional based suffer from several challenges such as data security, privacy, interoperability, single point failure, scalability, and integrity. However, by considering advantages Blockchain technology disadvantages systems, amalgamation decentralised, distributed ledger for applications will strengthen system resolving major challenges. Thus, this research article conducts comprehensive survey on (BCIoT) services, focusing mainly existing approaches, possibilities, First, we present detailed overview Blockchain, motivation BCIoT along applications. Next discuss enabling platforms For better understanding, review role Remote patient monitoring, electronic heath record management, Health asset tracing, Covid-19 infected contact tracking. Finally future directions are discussed

Language: Английский

Citations

21
Enhancing medical image classification via federated learning and pre-trained model DOI Creative Commons
Parvathaneni Naga Srinivasu,

G. Jaya Lakshmi,

Sujatha Canavoy Narahari

et al.

Egyptian Informatics Journal, Journal Year: 2024, Volume and Issue: 27, P. 100530 - 100530

Published: Aug. 28, 2024

Language: Английский

Citations

8
Emerging Point-of-Care Optical Biosensing Technologies for Diagnostics of Microbial Infections DOI
Shalu Yadav, Arpana Parihar, Mohd. Abubakar Sadique

et al.

ACS Applied Optical Materials, Journal Year: 2023, Volume and Issue: 1(7), P. 1245 - 1262

Published: June 30, 2023

The surge of pathogenic illnesses is responsible for millions mortalities occurring in underdeveloped and developing countries. Different pathogens such as viruses, bacteria, fungi, protozoa are the causative agents fatalities. rapid proliferation diseases threatens entire human population possibly economy. Owing to time-consuming sophisticated laboratory setup, conventional diagnostic tools not sufficient detection microbial infections. To treat infections successfully, simple, fast, accurate, cost-effective great importance. Optical biosensors effective techniques highly sensitive, specific, multiplexed, easy-to-use determination In modern era, need efficacious point-of-care (POC) huge demand with prominence portability, high sensitivity, being user-friendly, having on-site ability. Currently, efforts have been made advancement POC optical through integration technical support like artificial intelligence, machine learning, internet-of-things, internet-of-medical-things (IoMT). These smart technique-incorporated advanced can fill gap between generation bioinformatics, large data analytics, clinical validation. Moreover, integrated will be beneficial understand progression diseases, authentication, assessment efficiency prescribed treatment.

Language: Английский

Citations

15
The Impact of AI Applications on Smart Decision-Making in Smart Cities as Mediated by the Internet of Things and Smart Governance DOI Creative Commons
Syed Asad Abbas Bokhari, Seunghwan Myeong

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 120827 - 120844

Published: Jan. 1, 2023

Plenteous research has been undertaken on the direct effects of artificial intelligence (AI) smart decision-making. However, little attention paid to contextual factors such as Internet Things (IoT) and governance that mediate relationship between AI This investigates direct, mediating, parallel-sequential multiple mediating interactions AI, IoT, governance, We used a self-structured survey collect cross-sectional data from citizens in Republic Korea, 516 responses were examined using SmartPLS structural equation modeling (PLS-SEM). A mediator framework is assessed Hayes Process Model with bootstrapping. Our results reveal substantial favorable multi-mediating effect IoT applications decision-making, predicted. Previous scholars have investigated few influence but our contributes literature applied social sciences, including traditional decision theory, by examining impact study presents both theoretical practical implications for policymakers engaged development cities. Additionally, this provides recommendations future research.

Language: Английский

Citations

12
Transformative impacts of the Internet of Medical Things on modern healthcare DOI Creative Commons
Shams Forruque Ahmed, Sadia Sharmin,

Sweety Angela Kuldeep

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103787 - 103787

Published: Dec. 1, 2024

Language: Английский

Citations

4
Internet of things challenges for medical solutions DOI
José Luis Ordóñez-Ávila, Manuel Cardona

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 185 - 194

Published: Jan. 1, 2025

Language: Английский

Citations

0