Future of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine

Modern Pathology, Год журнала: 2025, Номер 38(4), С. 100705 - 100705

Опубликована: Янв. 5, 2025

Artificial intelligence (AI) and machine learning (ML) are transforming the field of medicine. Health care organizations now starting to establish management strategies for integrating such platforms (AI-ML toolsets) that leverage computational power advanced algorithms analyze data provide better insights ultimately translate enhanced clinical decision-making improved patient outcomes. Emerging AI-ML trends in pathology medicine reshaping by offering innovative solutions enhance diagnostic accuracy, operational workflows, decision support, These tools also increasingly valuable research which they contribute automated image analysis, biomarker discovery, drug development, trials, productive analytics. Other related include adoption ML operations managing models settings, application multimodal multiagent AI utilize diverse sources, expedited translational research, virtualized education training simulation. As final chapter our educational series, this review article delves into current adoption, future directions, transformative potential medicine, discussing their applications, benefits, challenges, perspectives.

Язык: Английский

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Genomic synergy in food traceability: Enhancing global food safety and security

Ecological Genetics and Genomics, Год журнала: 2025, Номер 34, С. 100324 - 100324

Опубликована: Янв. 5, 2025

Язык: Английский

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Data Management in Biobanking: Strategies, Challenges, and Future Directions

BioTech, Год журнала: 2024, Номер 13(3), С. 34 - 34

Опубликована: Сен. 2, 2024

Biobanking plays a pivotal role in biomedical research by providing standardized processing, precise storing, and management of biological sample collections along with the associated data. Effective data is prerequisite to ensure integrity, quality, accessibility these resources. This review provides current landscape biobanking, discussing key challenges, existing strategies, potential future directions. We explore multiple aspects management, including collection, storage, curation, sharing, ethical considerations. By examining evolving technologies methodologies we aim provide insights into addressing complexities maximizing utility biobank for clinical applications.

Язык: Английский

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Biobanks in chronic disease management: A comprehensive review of strategies, challenges, and future directions

Heliyon, Год журнала: 2024, Номер 10(11), С. e32063 - e32063

Опубликована: Май 29, 2024

Biobanks, through the collection and storage of patient blood, tissue, genomic, other biological samples, provide unique rich resources for research management chronic diseases such as cardiovascular diseases, diabetes, cancer. These samples contain valuable cellular molecular level information that can be utilized to decipher pathogenesis guide development novel diagnostic technologies, treatment methods, personalized medical strategies. This article first outlines historical evolution biobanks, their classification, impact technological advancements. Subsequently, it elaborates on significant role biobanks in revealing biomarkers promoting translation basic clinical applications, achieving individualized management. Additionally, challenges standardization sample processing, privacy, security are discussed. Finally, from perspectives policy support, regulatory improvement, public participation, this provides a forecast future directions strategies address challenges, aiming safeguard enhance advantages supporting disease prevention treatment.

Язык: Английский

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Gintegrator: Enhancing biological sequences data integration with real-time identifier translation

SoftwareX, Год журнала: 2025, Номер 29, С. 102041 - 102041

Опубликована: Янв. 13, 2025

Язык: Английский

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Convergent data-driven workflows for open radiation calculations: an exportable methodology to any field

The Journal of Supercomputing, Год журнала: 2025, Номер 81(3)

Опубликована: Фев. 5, 2025

Язык: Английский

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Uncovering the Potential of Pathomics: Prognostic Prediction and Mechanistic Investigation of Pancreatic Cancer

Опубликована: Янв. 1, 2025

Язык: Английский

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Introduction to smart hospital

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 1 - 35

Опубликована: Янв. 1, 2025

Язык: Английский

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The large-scale whole-genome sequencing era expedited medical discovery and clinical translation

Deleted Journal, Год журнала: 2025, Номер 2(1), С. 100055 - 100055

Опубликована: Фев. 8, 2025

Язык: Английский

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Omics and rare diseases: challenges, applications, and future perspectives

Expert Review of Proteomics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 16, 2025

Introduction Rare diseases (RDs) are a heterogeneous group of recognized as relevant global health priority but posing aspects complexity such as: geographical scattering affected individuals, improper/late diagnosis, limited awareness, difficult surveillance and monitoring, understanding natural history, lack treatment. Usually, RDs have pediatric onset life-long, multisystemic, associated with poor prognosis.

Язык: Английский

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