Artificial Intelligence in Microbiology: Scope and Challenges Volume 1

Erscheinungsjahr 2024
ISBN: 978-0-443-29624-6
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm, Gewicht: 1000 g

Nowadays, the field of microbiology is undergoing a revolutionary change due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, exploring the interaction between microorganisms and the surrounding environment. It also helps to extract novel microbial metabolites which have been used in various fields like medical, food and agricultural industries. As the pace of innovation in Microbiology is accelerating, the use of AI in these industries will be beneficial. AI will not only show its extraordinary potential in expanding the market of antibiotics, food, and agriculture but also offer an eco-friendly, safer, and profitable solution to the respective industries. It would be challenging to search out specific features and discuss future research on AI in microbiology with a wide perspective.

Autoren/Hrsg.

Weitere Mitwirkende

Srivastava, Akanksha

Fachgebiete

• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Naturwissenschaften Biowissenschaften Mikrobiologie
• Naturwissenschaften Biowissenschaften Botanik Mykologie, Pilze
• Naturwissenschaften Biowissenschaften Molekularbiologie

Inhaltsverzeichnis

Preface
1. Use of AI techniques in the diagnosis of infectious diseases
Russell Kabir
2. Potential future of AI for Microbiology applications - Benefits, challenges, and opportunities
Manan Shah
3. Production and development of novel drug targets through AI
Ghada Abd-Elmonsef Mahmoud Jr.
4. AI; beneficial or harmful for humans
Amit Madeshiya
5. THE USE OF ARTIFICIAL INTELLIGENCE TECHNIQUES IN THE DIAGNOSIS OF INFECTIOUS DISEASES
Odangowei Ogidi and Pere-Ere Sarah Tobia
6. Ethical and Social Issues Related to Artificial Intelligence in Healthcare
Himel Mondal and Shaikat Mondal
7. Artificial Intelligence as a smart approach in Clinical Microbiology.
Akanksha Srivastava
8. Computation-assisted methods in the determination of microbial metabolites
Sebnem Ozturkoglu-Budak
9. Artificial Intelligence in drug discovery and development
Vaibhav Mishra
10. AI and its role in soil microbiology and agriculture sustenance
Naveen Chandra Joshi
11. Role of AI in fungus identification, characterization and interaction
Sakshi Arora
12. Isolation and Characterization Techniques
Dr Olanrewaju Roland Akinseye
13. Agriculture sector and artificial Intelligence
Vaibhav Mishra
14. Role of AI in GUT microbiota and Sleep disorder
Akanksha Srivastava

Über Autor(innen)

Srivastava, Akanksha
Dr. Akanksha Srivastava is currently a Research Scientist in the Department of Microbiology, Institute of Medical Science, Banaras Hindu University, Varanasi, India. She earned her PhD in Life Science from the Academy of Scientific and Industrial Research (AcSIR), CSIR-Central Drug Research Institute (CSIR-CDRI), Lucknow. Her expertise is in microbiology, fermentation technology, and virology. She was a recipient of the Young Women Scientist fellowship award from DST in the WOS-A scheme and previously received the ICMR- Research Associate and Senior Research Fellowship awards. She is a reviewer for several reputed international peer-reviewed journals. She has published numerous research papers in acclaimed journals, has authored one book, book chapters, as well as review articles. She was recognized for excellence in research by the Honorable Chief Minister of Uttar Pradesh, India, the SGBRD Society, and the SIEBS Society. Her international collaborations include researchers in Israel, United Kingdom, United States, and Finland.