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Artificial intelligence as a smart approach in clinical microbiology laboratory
(Academic Press Inc., 2024) Akanksha Srivastava
Artificial intelligence (AI) is rapidly growing field with potential impact on global health. AI involves an algorithmic rule which have been used to analyse a set of data with an automated system. AI is expeditiously penetrating the field of biotechnology and microbiology with higher impact in clinical laboratories, disease diagnosis and healthcare. In addition, emergence of AI will be highly beneficial for clinical microbiologist, academicians, and researchers. It provides optimal efficiency and quality, with rapid and cost-effective results for disease diagnosis. In this chapter, we elaborate some of the routine diagnosis test occurred in clinical microbiology laboratories. Further, we explore the AI applications in image analysis of microbial staining, bacterial infection, ova and parasite examination, analysis of antimicrobial resistance with whole genome sequencing (WGS) and matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) is also enlightened here. © 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
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
Unravelling the gut microbiome: Connecting with AI for deeper insights
(Academic Press Inc., 2024) Vaibhav Mishra; Chhavi Atri; Raj Pandey; Akanksha Srivastava
Artificial intelligence (AI) remains a relatively unfamiliar concept for many, but its significance in the biomedical field is gaining recognition as the world undergoes transformative changes. Furthermore, AI possesses the potential to emulate critical thinking, reasoning, problem-solving abilities, and logical capacities of machines. Additionally, in the realm of gut microbiota research, AI emerges as a valuable asset. The synergy between gut microbes and AI not only holds promise for treating diverse gastroenterological diseases but also aids in comprehending the intricate relationships between gut microbes and microbes of resides into the other body parts. Moreover, AI facilitates a deeper understanding of different facets within gut-microbes interaction research. These direct communications are governed by chemical messengers, hormones, and neurotransmitters, detectable through biosensor chips employing machine learning (ML). Additionally, the indirect regulation of gut function by the brain via the hypothalamic-pituitary-adrenal (HPA) axis can be analysed using different computational models. This promising prospect remains largely unexplored, and in this chapter, our aim is to delve into and harness the potential of AI in gut microbial research. © 2024 Elsevier Ltd

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