Carte Revolutionizing Microbial Technology Akanksha Srivastava

Revolutionizing Microbial Technology

Unlocking the Potential of Artificial Intelligence

Limbă: engleză
Legare: Carte broșată
Editura: Elsevier Science
Disponibilitate: Nou în așteptare
Ediția 01. 07. 2026
884.10 lei
Revolutionizing Microbial Technology: Unlocking the Potential of Artificial Intelligence explores th...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2026
Pagini
450
EAN
9780443403620
ISBN
0443403627
Enbook ID
49281069
Greutate
450
Dimensiuni
191 x 235

Descriere completă

Revolutionizing Microbial Technology: Unlocking the Potential of Artificial Intelligence explores the potential integration of artificial intelligence (AI) and machine learning in the fields of microbiology and biotechnology. The book delves into various applications of AI in microbiology across different sectors. This includes coverage of basic microbiology, identification and characterization of microbes, how AI can be implemented in microbiology laboratory practices, and how bioinformatics can help analyze microbial data and help understand complex biological systems. It discusses implementation of AI in healthcare for the diagnosis of microbial diseases and AI-driven microbial therapies and examines potential AI solutions for the acceleration, cost-effectiveness, and efficiency of the drug discovery and drug development process. Additional coverage includes the AI integration in the food and agricultural industries. Revolutionizing Microbial Technology provides a comprehensive understanding to researchers, academics, industry professionals and students of the potential of AI as an advance tool for microbial research and application.

  • Discusses the characterization of different microbes (bacteria, fungus virus) with the help of advance tools
  • Aims to provide understanding of the scope and integration of AI in different sectors of microbial technology
  • Considers future directions, challenges, potential risks, safeguards, and ethical considerations of AI-microbial interactions

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