Dr. Walid Ben Ameur earned his PhD from the University of Carthage. He currently serves as a teacher-researcher at the Department of Life Sciences, Faculty of Sciences of Gabès, Tunisia, and is a member of the Laboratory of Ecology of Terrestrial Fauna at the University of Gabès, Tunisia. Walid Ben Ameur has authored more than 20 peer-reviewed scientific papers published in international journals. His work has made useful contributions to the field of environmental chemistry, with a particular focus on persistent organic pollutants. He has developed analytical techniques for assessing emerging pollutants and evaluating their effects on both the environment and human health. His research spans a diverse range of samples, including those from environmental, biological, human, and food sources. Dr. Ben Ameur has mentored three Master's students and regularly serves as a reviewer for respected journals such as Science of the Total Environment, Chemosphere, Environmental Science and Pollution Research, Marine Pollution Bulletin, Environmental Pollution, Ecotoxicology and Environmental Safety, and Chemistry Africa.
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Paperback. Etat : new. Paperback. Despite the significant advances in the medical field, the global challenge of Human Immunodeficiency Virus (HIV) remains a pressing issue. Although antiretroviral therapy (ART) has improved life expectancy and quality of life for those living with HIV, the virus continues to be a major global health burden, particularly in resource-limited settings. In recent years, the advent of artificial intelligence (AI) technologies has shown immense potential in overcoming some of these challenges, offering innovative solutions to enhance HIV care. However, there are significant challenges to the implementation of AI in HIV treatment. The potential of AI to optimize treatment, improve early diagnosis, predict disease progression, and identify therapeutic agents remains largely unexplored. Despite the promising results from AI-driven models in other areas of medicine, the full integration of AI into HIV care requires overcoming these technical, ethical, and regulatory challenges. Revolutionizing HIV Treatment With AI explores the complexities of HIV treatment and outlines how AI can transform HIV care. It addresses the ethical dilemmas and practical hurdles that must be overcome to ensure the safe and equitable application of AI technologies in managing HIV. This book covers topics such as algorithms, drug discovery, and medical prediction, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337328645
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Taschenbuch. Etat : Neu. Revolutionizing HIV Treatment With AI | Adnène Arbi (u. a.) | Taschenbuch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337328645 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134395253
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Despite the significant advances in the medical field, the global challenge of Human Immunodeficiency Virus (HIV) remains a pressing issue. Although antiretroviral therapy (ART) has improved life expectancy and quality of life for those living with HIV, the virus continues to be a major global health burden, particularly in resource-limited settings. In recent years, the advent of artificial intelligence (AI) technologies has shown immense potential in overcoming some of these challenges, offering innovative solutions to enhance HIV care. However, there are significant challenges to the implementation of AI in HIV treatment. The potential of AI to optimize treatment, improve early diagnosis, predict disease progression, and identify therapeutic agents remains largely unexplored. Despite the promising results from AI-driven models in other areas of medicine, the full integration of AI into HIV care requires overcoming these technical, ethical, and regulatory challenges. Revolutionizing HIV Treatment With AI explores the complexities of HIV treatment and outlines how AI can transform HIV care. It addresses the ethical dilemmas and practical hurdles that must be overcome to ensure the safe and equitable application of AI technologies in managing HIV. This book covers topics such as algorithms, drug discovery, and medical prediction, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists. N° de réf. du vendeur 9798337328645
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