Titlebook: AI and Blockchain in Healthcare; Bipin Kumar Rai,Gautam Kumar,Vipin Balyan Book 2023 The Editor(s) (if applicable) and The Author(s), unde

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Machine Learning for Drug Discovery and Manufacturingface of behaviour and its neural substrates and largely ignore perhaps the most dramatic expression of that relationship. In the older textbooks, epilepsy, along with schizophrenia and affective illness, formed the triad of major psychiatric disorders referred to as “insanity.” Since the introductio

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Securing Healthcare Records Using Blockchain: Applications and Challenges of the tunnel boring machine, which in turn would lead to additional costs and a standstill in the construction process. A seismic methodology called full waveform inversion can bring a considerable improvement compared to state-of-the-art seismic methods in terms of precision. Another method of ex

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Applications of Machine Learning in Healthcare with a Case Study of Lung Cancer Diagnosis Through Decognitive, affective, psychomotor – to actualize their full potential. The chapters are based on presentations given at the 2012 conference of the Finnish Educational Research Association (FERA), whose theme was Interaction in Educational Research. Prof. David Clarke, from the University of Melbourn

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Real-Time Data Mining-Based Cancer Disease Classification Using KEGG Gene Dataset comprised of a heterogeneous population of cells that include recruited host immune cells, stromal cells, matrix components, and endothelial cells. This tumor microenvironment plays a fundamental role in the acquisition of hallmark traits, and has been the intense focus of current research. A key r

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An Accurate Swine Flu Prediction and Early Prediction Using Data Mining Techniqueo their remarkable ability of self-renewal, proliferation, and differentiation into germ layers or gastrula (i.e., internal layer (ectoderm), middle layer (mesoderm), and outer layer (endoderm)). In this regard, pluripotent stem cells like induced pluripotent stem cells (iPSCs) and embryonic stem ce