Browsing by Author "Chetan Kumar Dubey"

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Implementation of artificial intelligence (AI) and machine learning (ML) in microbiology
(Academic Press Inc., 2024) Prashant Tripathi; Akanksha Srivastava; Chetan Kumar Dubey; Vaibhav Mishra; Shipra Dwivedi; Amit Kumar Madeshiya
Artificial intelligence (AI) is the ability of a machine to perform a cognitive function that resembles the human brain. In today's world, AI is being largely applied in the field of medical science including clinical microbiology and environmental microbiology. According to a recent report by PwC Middle East, 2% of the total global benefit of AI which is about US$320 billion has been projected by 2030.With the help of AI in the medical field, the way of undertaking emergencies and life-threatening conditions has changed. Its applications include diagnosing patients, end-to-end drug discovery and development, improving communication between physician and patient, transcribing medical documents, such as prescriptions, and remotely treating patients. In this chapter, we discuss, what is AI and machine learning and how it is being implemented in the field of clinical microbiology, and environmental microbiology as well as where we need improvement. © 2024 Elsevier Ltd
Leveraging artificial intelligence (AI) and machine learning (ML) for enhanced drug discovery and development from microbes
(Academic Press Inc., 2024) Vaibhav Mishra; Sandeep K. Mishra; Akanksha Srivastava; Chetan Kumar Dubey; Komal Dharmani; Navaneet Chaturvedi
Artificial intelligence (AI) can be a great helping hand in drug discovery research. Further AI concept is founded upon the idea that human thought and reasoning processes can be properly described, captured, and formally embedded into machines. Moreover, it's a branch of computer science and technology that deals with the creation and development of intelligent machines that can simulate human thinking and perform tasks that typically require human intelligence. Although, AI systems are designed to analyse data, learn from it, and make decisions or predictions based on the patterns they discover. Currently healthcare system is greatly influenced by the big data which is used for the development of drugs and prediction of microbial infectious disease. Additionally, the amalgamation of AI and microbiology exhibits great prospects in research and development, diagnose microbial infectious disease and treat patients remotely, improving communication between patient and clinicians, analysing the medical records, help clinicians to prescribe personalized medicines and develop precise drugs from microbial sources. Overall the field of microbiology has been significantly impacted by the emergence of advanced AI technologies. In this chapter, we discuss the applications of the AI and its advanced tool machine learning (ML) that has worked at an intersection with big data to provide reasonable solution to the health care system. We also, explore the fascinating application of AI and ML technologies in drug discovery from microbes that have been put used in current scenario. © 2024 Elsevier Ltd