By Azhar ul Haque Sario
In the groundbreaking book, “AI Heals Colds: AI Revolutionizes Healthcare,” we journey into the innovative intersection of artificial intelligence and healthcare, particularly focusing on the common cold. This comprehensive guide explores the profound impacts of AI-driven methodologies on the development, efficacy, and distribution of over-the-counter (OTC) cold medications. From the initial stages of molecular docking and virtual screening to the personalized patient education and empowerment, the book reveals how AI is not just a tool but a transformative force reshaping every facet of cold medication management. The book begins by highlighting how AI technologies such as deep learning and evolutionary algorithms are revolutionizing the discovery and optimization of antiviral drugs. It discusses the use of AI in predicting viral resistance and enhancing the prediction of antiviral efficacy with unprecedented speed and accuracy. As the narrative progresses, the focus shifts to symptom management, where AI models like Bayesian networks and recurrent neural networks provide insights into the severity and duration of symptoms, enhancing patient care through precision medicine. Safety and tolerability are also crucial, and here, AI’s role in predicting adverse reactions and interactions is detailed, emphasizing its potential to mitigate risks even before clinical trials. Speaking of trials, the book delves into how AI is used to predict outcomes and streamline processes, making trials more efficient and less costly. “AI Heals Colds” serves as a vital resource for healthcare professionals, researchers, and anyone interested in the future of healthcare technology. It offers not just a glimpse of what is possible today but a blueprint for the future where AI and healthcare evolve in tandem to tackle challenges head-on, making healthcare more responsive, effective, and personalized.
Product Details
Publisher : epubli (September 21, 2024)
Language : English
Paperback : 81 pages
ISBN-10 : 375987844X
ISBN-13 : 978-3759878441

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