ISBN: 9798337370163 - modern biological applications in the age of ai (9 Ergebnisse)

- Hardcover
Anbieter: California Books, Miami, FL, USACalifornia Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 299,81
Versand gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Zustand: New.

- Hardcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 313,04
Versand gratisVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Hardback. Zustand: New.

- Hardcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 308,63
EUR 77,50 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Hardback. Zustand: New.

- Hardcover
- Print-on-Demand
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 258,60
EUR 11,16 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Hardcover
- Print-on-Demand
Anbieter: Grand Eagle Retail, Bensenville, IL, USAGrand Eagle Retail
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 269,72
Versand gratisVersand innerhalb von USAAnzahl: 1 verfügbar
Hardcover. Zustand: new. Hardcover. As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

- Hardcover
- Print-on-Demand
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 269,72
Versand gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Hardcover
- Print-on-Demand
Anbieter: CitiRetail, Stevenage, Vereinigtes KönigreichCitiRetail
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 270,78
EUR 44,12 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: new. Hardcover. As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists. 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
- Print-on-Demand
Anbieter: AussieBookSeller, Truganina, VIC, AustralienAussieBookSeller
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 352,36
EUR 32,94 VersandVersand von Australien nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: new. Hardcover. As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists. 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.…

- Hardcover
- Print-on-Demand
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 370,00
EUR 43,80 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists.…