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      Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications

      1 in stock

      Firm sale: non returnable item
      SKU 9780128213926 Categories ,
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      Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) fo...

      £118.00

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      Description

      Product ID:9780128213926
      Product Form:Hardback
      Country of Manufacture:NL
      Title:Sex and Gender Bias in Technology and Artificial Intelligence
      Subtitle:Biomedicine and Healthcare Applications
      Authors:Author: Davide Computational
      Biology Group, Life Sciences Department, Spain) Cirillo, Silvina , World Health Organisation (WHO), European Institute
      of Innovation and Technology Healt, Emre , Hospital del Mar Research; Institute (IMIM) and Pompeu Fabra University (UPF), Barcelona, Sp
      Page Count:278
      Subjects:Neurosciences, Neurosciences
      Description:Select Guide Rating
      Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, providing a perspective overview of the pressing need of an ethically-informed science. The reader is guided through the latest implementations and insights in technological areas of accelerated growth, putting forward the neglected and overlooked aspects of sex and gender in biomedical research and healthcare solutions that leverage artificial intelligence, biosensors, and personalized medicine approaches to predict and prevent disease outcomes. The reader comes away with a critical understanding of this fundamental issue for the sake of better future technologies and more effective clinical approaches.
      Imprint Name:Academic Press Inc
      Publisher Name:Elsevier Science Publishing Co Inc
      Country of Publication:GB
      Publishing Date:2022-05-27

      Additional information

      Weight744 g
      Dimensions198 × 245 × 22 mm