Unlocking potential big data (11 résultats)

Etat : New.

Taschenbuch. Etat : Neu. The Power of Patterns: Unlocking the Potential of Big Data in Chemistry and Biology | Rimsha | Taschenbuch | Englisch | 2024 | tredition | EAN 9783384273079 | Verantwortliche Person für die EU: tredition GmbH, Heinz-Beusen-Stieg 5, 22926 Ahrensburg, info[at]tredition[dot]de | Anbieter: preigu.…

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'The Power of Patterns' dives into the exciting world of big data in chemistry and biology. In this age of information explosion, vast amounts of biological and chemical data are waiting to be unlocked. This book explores how powerful computational tools can analyze these patterns, revealing hidden connections and accelerating scientific discovery. Imagine using big data to predict protein functions, design new drugs, or understand biological processes at an unprecedented level. 'The Power of Patterns' explains these possibilities and more, showcasing how big data is revolutionizing these fields. It's a must-read for scientists, students, and anyone curious about the future of scientific discovery. 72 pp. Englisch. …

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'The Power of Patterns' dives into the exciting world of big data in chemistry and biology. In this age of information explosion, vast amounts of biological and chemical data are waiting to be unlocked. This book explores how powerful computational tools can analyze these patterns, revealing hidden connections and accelerating scientific discovery. Imagine using big data to predict protein functions, design new drugs, or understand biological processes at an unprecedented level. 'The Power of Patterns' explains these possibilities and more, showcasing how big data is revolutionizing these fields. It's a must-read for scientists, students, and anyone curious about the future of scientific discovery.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The Power of Patterns dives into the exciting world of big data in chemistry and biology. In this age of information explosion, vast amounts of biological and chemical data are waiting to be unlocked. This book explores how powerful computational tools ca.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -'The Power of Patterns' dives into the exciting world of big data in chemistry and biology. In this age of information explosion, vast amounts of biological and chemical data are waiting to be unlocked. This book explores how powerful computational tools can analyze these patterns, revealing hidden connections and accelerating scientific discovery. Imagine using big data to predict protein functions, design new drugs, or understand biological processes at an unprecedented level. 'The Power of Patterns' explains these possibilities and more, showcasing how big data is revolutionizing these fields. It's a must-read for scientists, students, and anyone curious about the future of scientific discovery.tredition, Heinz-Beusen-Stieg 5, 22926 Ahrensburg 72 pp. Englisch.…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint brings together a collection of studies illustrating how artificial intelligence, machine learning, and large-scale data analytics are reshaping modern cancer research and oncology practice. The contributions span a broad spectrum of applications, including medical imaging, digital pathology, bioinformatics, clinical decision support, epidemiology, treatment optimization, and translational cancer research.A common theme across the Reprint is the growing integration of heterogeneous data sources, ranging from imaging and genomic information to electronic health records and population-level datasets, to improve cancer detection, risk stratification, prognostication, and treatment personalization. Several articles explore advanced deep learning methodologies and predictive models, while others address the practical challenges of implementing data-driven approaches in real-world clinical settings.The Reprint also highlights the increasing role of computational methods in accelerating scientific discovery, supporting precision oncology, and enabling more efficient healthcare delivery. Beyond technical innovation, the collected works emphasize reproducibility, clinical relevance, multidisciplinary collaboration, and responsible use of artificial intelligence in cancer care.…

Buch. Etat : Neu. Unlocking the Potential of AI and Big Data in Cancer Research | Advances and Applications | Buch | Englisch | 2026 | MDPI AG | EAN 9783725881970 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Hardcover. Etat : new. Hardcover. This Reprint brings together a collection of studies illustrating how artificial intelligence, machine learning, and large-scale data analytics are reshaping modern cancer research and oncology practice. The contributions span a broad spectrum of applications, including medical imaging, digital pathology, bioinformatics, clinical decision support, epidemiology, treatment optimization, and translational cancer research.A common theme across the Reprint is the growing integration of heterogeneous data sources, ranging from imaging and genomic information to electronic health records and population-level datasets, to improve cancer detection, risk stratification, prognostication, and treatment personalization. Several articles explore advanced deep learning methodologies and predictive models, while others address the practical challenges of implementing data-driven approaches in real-world clinical settings.The Reprint also highlights the increasing role of computational methods in accelerating scientific discovery, supporting precision oncology, and enabling more efficient healthcare delivery. Beyond technical innovation, the collected works emphasize reproducibility, clinical relevance, multidisciplinary collaboration, and responsible use of artificial intelligence in cancer care. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Hardcover. Etat : new. Hardcover. This Reprint brings together a collection of studies illustrating how artificial intelligence, machine learning, and large-scale data analytics are reshaping modern cancer research and oncology practice. The contributions span a broad spectrum of applications, including medical imaging, digital pathology, bioinformatics, clinical decision support, epidemiology, treatment optimization, and translational cancer research.A common theme across the Reprint is the growing integration of heterogeneous data sources, ranging from imaging and genomic information to electronic health records and population-level datasets, to improve cancer detection, risk stratification, prognostication, and treatment personalization. Several articles explore advanced deep learning methodologies and predictive models, while others address the practical challenges of implementing data-driven approaches in real-world clinical settings.The Reprint also highlights the increasing role of computational methods in accelerating scientific discovery, supporting precision oncology, and enabling more efficient healthcare delivery. Beyond technical innovation, the collected works emphasize reproducibility, clinical relevance, multidisciplinary collaboration, and responsible use of artificial intelligence in cancer care. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Hardcover. Etat : new. Hardcover. This Reprint brings together a collection of studies illustrating how artificial intelligence, machine learning, and large-scale data analytics are reshaping modern cancer research and oncology practice. The contributions span a broad spectrum of applications, including medical imaging, digital pathology, bioinformatics, clinical decision support, epidemiology, treatment optimization, and translational cancer research.A common theme across the Reprint is the growing integration of heterogeneous data sources, ranging from imaging and genomic information to electronic health records and population-level datasets, to improve cancer detection, risk stratification, prognostication, and treatment personalization. Several articles explore advanced deep learning methodologies and predictive models, while others address the practical challenges of implementing data-driven approaches in real-world clinical settings.The Reprint also highlights the increasing role of computational methods in accelerating scientific discovery, supporting precision oncology, and enabling more efficient healthcare delivery. Beyond technical innovation, the collected works emphasize reproducibility, clinical relevance, multidisciplinary collaboration, and responsible use of artificial intelligence in cancer care. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …