Artificial Intelligence In Pathogenic Microorganism Research
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Artificial Intelligence In Pathogenic Microorganism Research
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Author : Chen Li
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-26
Artificial Intelligence In Pathogenic Microorganism Research written by Chen Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Science categories.
Infections caused by pathogenic microorganisms, including bacteria, viruses, fungi, and other eukaryotic microbes, seriously threaten human health. Traditional research methods and laboratory techniques have many limitations and focus more on the identification and classification of pathogenic microorganisms. In recent years, technologies such as whole genome sequencing and advanced bioinformatics analysis have promoted the research of pathogenic microorganisms. However, with the interplay of multiple factors like global climate change, ecological and environmental changes, urbanization, social behavior, and lifestyle changes, pathogenic microorganisms' transmission patterns and impact scope are gradually changing. There is an urgent need for multidimensional technological approaches to achieve epidemiological monitoring and evolutionary direction prediction of pathogenic microorganisms. Additionally, more robust data processing and analysis capabilities are required for rapid identification and diagnosis, monitoring of drug resistance, development of antimicrobial drugs and vaccines, and optimization of treatment plans. Therefore, Artificial Intelligence (AI) has entered our field of vision. In the field of pathogenic microorganisms, AI has shown tremendous potential. In epidemiological research, AI technology can quickly and automatically collect, integrate and analyze the epidemic data of infectious diseases from different regions, so as to predict the trend and scope of disease transmission, and track the source of infection. In the process of diagnosis and treatment of infectious diseases, machine learning can not only analyze the microscopic images of pathogens, but also analyze the genome sequences of multiple pathogens in a short time, and predict their sensitivity or resistance to specific antibiotics, greatly improving the efficiency and accuracy of diagnosis and treatment of infectious diseases. In drug or vaccine development, researchers can use AI models to predict efficient antigens for diseases such as HIV and influenza, and thus design more effective vaccine candidates. AI models can also analyze the interactions between drugs, pathogens, and patients, in order to design the optimal dosing regimen for each patient. In a word, AI can help human beings better deal with infectious diseases. We welcome original reviews, articles, and other contributions in related fields, which mainly include the following aspects: (1) The application of AI in the differential diagnosis of pathogenic microorganisms (2) The application of AI in the formulation of anti-infection treatment plans (3) The application of AI in monitoring and predicting the prevalence of pathogenic microorganisms (4) Application of AI in the prediction and prevention of infectious diseases caused by pathogenic microorganisms (5) The application of AI in the research and development of anti-infective drugs and vaccines
Machine Learning And Deep Learning Applications In Pathogenic Microbiome Research
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Author : Gang Ye
language : en
Publisher: Frontiers Media SA
Release Date : 2024-09-30
Machine Learning And Deep Learning Applications In Pathogenic Microbiome Research written by Gang Ye and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Science categories.
The pathogenic microbiome is the community of microorganisms that live in humans or animals and cause disease. These microorganisms include bacteria, viruses, fungi, protozoa, etc. They usually live in the host's skin, mouth, intestinal tract, genitourinary tract, etc. Normally, there is a state of equilibrium between the host and these microorganisms, but when this equilibrium is disturbed, these microorganisms become the pathogenic microbiome and cause disease. To advance the field of microbiome research, artificial intelligence methods, especially machine learning and deep learning, have recently been used as important tools due to their powerful predictive and informative potential. Classical machine learning algorithms such as linear regression, random forests, support vector machines, etc. perform well on microbiome data. However, as algorithms have been iteratively updated, these models have long been relegated to the basics. Linear regression models are now more often used to interpret these models more intuitively by using the output of other models as input. Deep learning is a branch of machine learning that involves a large number of neural network structures. Deep learning relies on neurons whose role is to transform the input and propagate it forward to the next neuron. Deep learning is currently being used with spectacular success in areas such as image recognition, text processing and automatic translation. As a result, a growing number of researchers are attempting to apply deep learning techniques to biomedical data analysis. Although there are still challenges in practical applications, such as model interpretability, data availability, model evaluation and selection, machine learning and deep learning are very promising tools in pathogenic microbiome research. This Research Topic, therefore, aims to contribute to the latest advances in machine learning, especially deep learning, and to explore new applications of related techniques in pathogenic microbiome research, trying to find relationships between microbiome and human health as well as the environment by studying high-throughput sequencing data of microbes, laying the foundation for further applications for subsequent treatment or forensic identification. We welcome submissions of Original Research, Brief Research Report, Review, Mini-Review, Methods, Perspective and Opinion articles that focus on, but are not limited to, the utilization of machine learning and deep learning to address the following subtopics. 1. Classification and identification of pathogenic microorganisms 2. Virulence prediction of pathogenic microorganisms 3. Antimicrobial resistance prediction of pathogenic microorganisms 4. Population structure and epidemiology of pathogenic microorganisms-related diseases 5. Immunological studies of pathogenic microorganisms 6. Drug target prediction for pathogenic microorganisms-related diseases
Artificial Intelligence Applications In Chronic Ocular Diseases
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Author : Wei Chi
language : en
Publisher: Frontiers Media SA
Release Date : 2024-04-23
Artificial Intelligence Applications In Chronic Ocular Diseases written by Wei Chi and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-23 with Science categories.
With the acceleration of urbanization and aging processes, chronic ocular diseases have become a critical threat to the vision health of the global population . Chronic ocular diseases include a series of disorders and conditions that involve long-term defects in both anterior and posterior segments of the eye, such as cataract, glaucoma, keratoconus (KC), diabetic retinopathy (DR), and age-related macular degeneration (AMD). However, it is still challenging to understand the mechanisms of these diseases and to discover new and reliable biomarkers to identify the diseases and their severities. Moreover, conventional methods in clinical societies are not as effective or efficient as expected, especially in the era of artificial intelligence.
Recent Advancements In Waste Water Management Implications And Biological Solutions
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Author :
language : en
Publisher: Elsevier
Release Date : 2023-04-27
Recent Advancements In Waste Water Management Implications And Biological Solutions written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-27 with Science categories.
APMP Volume Nine: Recent Advancement In Waste Water Management: Implication and Biological Solutions highlights new advances in the field, with this new volume presenting interesting chapters on antibiotics and hormone residues in wastewater: Occurrence, risks, and its biological, physical and chemical treatments, Occurrence of pesticides in wastewater: Bioremediation approach for environmental safety and its toxicity, Removal of pharmaceutical compounds from water, Biological solutions for the removal of microplastics from water, Impact of wastewater irrigation on soil attributes, Factors influencing the wastewater treatment process from agro-industrial effluents through microalgae and advanced oxidative processes, and more. Other sections cover Contamination of soil and food chain through wastewater application and Advanced biomaterials for the removal of pesticides from water. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in APMP - Updated release includes the latest information on Recent Advancement In Waste Water Management: Implication and Biological Solutions
Artificial Intelligence In Microbiology Scope And Challenges Volume Ii
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-02-06
Artificial Intelligence In Microbiology Scope And Challenges Volume Ii written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-06 with Science categories.
Artificial Intelligence in Microbiology: Scope and Challenges, Volume-II, Volume 56 covers changes 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, and more. Chapters include Taking on the resistance: AI and battle against antimicrobial resistance, AI-powered insights into microbial communities for bioremediation strategies, Efficient and cost-effective production of viral vaccines via AI, Production and development of novel drug targets through AI, Use of AI in neuroscience, Role of Artificial Intelligence in studying metagenomics of Microbes: Decoding the microbial Sphere, and more.Other chapters explore Exploring the functional role of bacterial proteins via AI, Application of AI in Aquaculture/Fisheries: Disease identification, detection, diagnosis, drug development, Artificial Intelligence in drug discovery & development; scope and challenges, Production of bacteriocins by AI: as food preservative, Exploring the Role of Artificial Intelligence in the Microbial remediation of heavy metals, Uses of Artificial Intelligence in the Agricultural Pest Management, Microbial fermentation processes using Artificial Intelligence, and more. - Uncovers extended functions of AI in microbiology - Includes topics surrounding the production and development of novel drug targets through AI - Presents the existing challenges for using and selecting appropriate AI tools in health, agriculture, and in the food sector
Covid 19 Integrating Artificial Intelligence Data Science Mathematics Medicine And Public Health Epidemiology Neuroscience And Biomedical Science In Pandemic Management
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Author : Reza Lashgari
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-09
Covid 19 Integrating Artificial Intelligence Data Science Mathematics Medicine And Public Health Epidemiology Neuroscience And Biomedical Science In Pandemic Management written by Reza Lashgari and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-09 with Medical categories.
Computational Techniques For Dental Image Analysis
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Author : Kamalanand, K.
language : en
Publisher: IGI Global
Release Date : 2018-10-30
Computational Techniques For Dental Image Analysis written by Kamalanand, K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Medical categories.
With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.
Pan Genomics Applications Challenges And Future Prospects
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Author : Debmalya Barh
language : en
Publisher: Academic Press
Release Date : 2020-03-06
Pan Genomics Applications Challenges And Future Prospects written by Debmalya Barh and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-06 with Science categories.
Pan-genomics: Applications, Challenges, and Future Prospects covers current approaches, challenges and future prospects of pan-genomics. The book discusses bioinformatics tools and their applications and focuses on bacterial comparative genomics in order to leverage the development of precise drugs and treatments for specific organisms. The book is divided into three sections: the first, an "overview of pan-genomics and common approaches, brings the main concepts and current approaches on pan-genomics research; the second, "case studies in pan-genomics, thoroughly discusses twelve case, and the last, "current approaches and future prospects in pan-multiomics, encompasses the developments on omics studies to be applied on bacteria related studies. This book is a valuable source for bioinformaticians, genomics researchers and several members of biomedical field interested in understanding further bacterial organisms and their relationship to human health. - Covers the entire spectrum of pangenomics, highlighting the use of specific approaches, case studies and future perspectives - Discusses current bioinformatics tools and strategies for exploiting pangenomics data - Presents twelve case studies with different organisms in order to provide the audience with real examples of pangenomics applicability
Microbial Products For Health And Nutrition
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Author : Vijay Kothari
language : en
Publisher: Springer Nature
Release Date : 2024-07-30
Microbial Products For Health And Nutrition written by Vijay Kothari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Science categories.
This book highlights microbial products and their applications in the health sector. The chapters introduce novel advancements and applications in different pharmaceutical and nutraceutical aspects of applied microbiology. Readers will obtain a detailed overview of the relevance of microbial metabolites to human health and nutrition. Besides knowing the products already developed, they will also get an idea of microbial products currently in the development pipeline and those that are likely to emerge as potential nutraceuticals. Readers will get an interesting and useful perspective on how supplementing food with microbes or their bioactive metabolites can realize the idea of 'food as medicine'. This book introduces the biological activities of various microbial fermentation products, and how they are relevant to mitigating various disease conditions (e.g. neuropathy, diabetes, gut dysbiosis, malnutrition, etc.) in humans. One of the highlights of this volume is the exploration of microbial pigments as potential substitutes for synthetic colorants, offering safer and more sustainable alternatives for the food and healthcare industries. The book has equivalent contributions from experts in academia and industry to fill the communication gap between them. Through this book, readers will gain valuable insights into the historical perspectives, contemporary impacts, and future prospects of microbial applications in health and nutrition. From food preservation to biopharmaceutical production, the potential of microbial products to revolutionize our approach to health and wellness is undeniable.
Artificial Intelligence A Modern Approach In Different Fields
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Author : Prof. Rashmi Pant , Dr. Vibha Pandey & Dr. Pradeep Pandey
language : en
Publisher: Laxmi Book Publication
Release Date : 2024-12-16
Artificial Intelligence A Modern Approach In Different Fields written by Prof. Rashmi Pant , Dr. Vibha Pandey & Dr. Pradeep Pandey and has been published by Laxmi Book Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-16 with Art categories.
While highlighting the advantages of Artificial intelligence (AI) in enhancing human memory, creativity, and decision-making in daily life, the review paper also notes the difficulties and vulnerabilities involved in implementing AI. The encoding, storing, and retrieval of our experiences are powered by human memory. AI has the ability to both facilitate and impede memory encoding and retrieval, as well as aid in our knowledge of the problems facing memory research. An artist’s own creative abilities may be compromised if they depend too much on AI-generated features. When AI systems offer ready-to-eat concepts people could become unduly dependent on them rather than making their own independent creative thought processes.