BioLake: an RNA expression analysis framework for prostate cancer biomarker powered by data lakehouse

BMC Bioinformatics, Год журнала: 2025, Номер 26(1)

Опубликована: Фев. 4, 2025

Biomedical researchers must often deal with large amounts of raw data, and analysis this data might provide significant insights. However, if the size is large, it be difficult to uncover these In paper, a framework named BioLake presented that provides minimalist interactive methods help conduct bioinformatics analysis. Unlike some existing analytical tools on market, supports wide range web-based for public datasets, while allowing analyze their private datasets instantly. The tool also significantly enhances result interpretability by providing source code detailed instructions. terms storage design, adopts lakehouse architecture scalability flexibility. To further enhance efficiency, online custom upload own via designed procedure without waiting server-side approval. allows one-time up 500 MB ensure avoid issues being too upload. built-in dataset, applies reactive continuous integration, helping pipeline get rid most preprocessing steps. only pre-built-in dataset in first version TCGA-PRAD mRNA expression prostate cancer research, which primary focus development team BioLake. summary, offers lightweight facilitate bioinformatic support processing.

Язык: Английский

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AI-Driven Telerehabilitation: Benefits and Challenges of a Transformative Healthcare Approach

AI, Год журнала: 2025, Номер 6(3), С. 62 - 62

Опубликована: Март 17, 2025

Artificial intelligence (AI) has revolutionized telerehabilitation by integrating machine learning (ML), big data analytics, and real-time feedback to create adaptive, patient-centered care. AI-driven systems enhance analyzing patient personalize therapy, monitor progress, suggest adjustments, eliminating the need for constant clinician oversight. The benefits of AI-powered include increased accessibility, especially remote or mobility-limited patients, greater convenience, allowing patients perform therapies at home. However, challenges persist, such as privacy risks, digital divide, algorithmic bias. Robust encryption protocols, equitable access technology, diverse training datasets are critical addressing these issues. Ethical considerations also arise, emphasizing human oversight maintaining therapeutic relationship. AI aids clinicians automating administrative tasks facilitating interdisciplinary collaboration. Innovations like 5G networks, Internet Medical Things (IoMT), robotics further telerehabilitation’s potential. By transforming rehabilitation into a dynamic, engaging, personalized process, together represent paradigm shift in healthcare, promising improved outcomes broader worldwide.

Язык: Английский

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Integral Role of Blockchain and Artificial Intelligence in Sustainable Economic Development

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 271 - 290

Опубликована: Фев. 21, 2025

Blockchain technology and Artificial Intelligence (AI) play variety of roles in sustainable economic growth tackling a range social, economic, environmental issues. AI boosts labor productivity propels by automating processes increasing across industries. Transparency transactions is guaranteed blockchain's decentralized unchangeable structure, which essential for business processes. Since they foster social inclusion, prosperity, sustainability, blockchain are line with the Sustainable Development Goals. Ultimately, formidable tools that advance growth. Their unique set abilities provides ground-breaking ways to improve performance, transparency wide Keeping view above, this chapter analyzes integral role enhancing development. It explores legal framework concerning usage several regions countries.

Язык: Английский

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Forensics and security issues in the Internet of Things

Wireless Networks, Год журнала: 2025, Номер unknown

Опубликована: Март 27, 2025

Язык: Английский

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Using Big Data for Predictive Maintenance in Transportation Systems

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 297 - 314

Опубликована: Апрель 4, 2025

The economic and social health of contemporary urban centers is greatly dependent on the transportation industry. Transportation infrastructure must be dependable efficient because any disruptions can have a domino effect mobility as whole. Predictive maintenance, facilitated by analysis big data, gives chance to proactively address maintenance needs minimize service interruptions. use data analytics for predictive in systems examined this chapter. It starts going over special sources that are available industry, such sensor from infrastructure, cars, traffic control systems. explores essential phases procedure, encompassing gathering, analysis, modeling, production practical insights. application data-driven various contexts—such public fleets, road rail networks—is demonstrated through several case studies.

Язык: Английский

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Blockchain enabled collective and combined deep learning framework for COVID19 diagnosis

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 13, 2025

Язык: Английский

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IoT and cloud-based non-invasive diabetes detection system from photoplethysmogram

Discover Internet of Things, Год журнала: 2025, Номер 5(1)

Опубликована: Май 14, 2025

Язык: Английский

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IoT driven smart health monitoring for heart disease prediction using quantum kernel enhanced sardine diffusion and CNN

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 19, 2025

Язык: Английский

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IoT-based bed and ventilator management system during the COVID-19 pandemic

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 31, 2025

Язык: Английский

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