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.
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Table of Contents
1. Introducing Women's Brain Project towards a fair and personalized approach to human health in the era of data-driven medicineSection 1. Sex and gender differences and Precision Medicine 2. Implications of sex-specific differences on clinical studies of human health 3. Sex and gender differences and Precision Medicine
Section 2. Biases in innovative technologies for Biomedicine and Health 4. Bias and fairness in machine learning and artificial intelligence 5. Big Data in healthcare from a sex/gender perspective 6. Biases in digital biomarkers and Mobile Health 7. Sex and Gender bias in Natural Language Processing 8. Sex and gender differences in Invasive and non invasive neurotechnologies 9. Robots and Affective technologies
Section 3. Towards Precision Technology 10. A unified framework for the management of sex and gender biases in Healthcare 11. Privacy Preserving technologies 12. Ethics?and Society
Authors
Davide Cirillo Postdoctoral Researcher, Barcelona Supercomputing Center (BSC) ComputationalBiology Group, Life Sciences Department, Spain. Davide Cirillo, Ph.D. is a postdoctoral researcher at Barcelona Supercomputing Center
(BSC) Computational Biology group, Life Sciences Department. Davide Cirillo received
the MSc degree in Pharmaceutical Biotechnology from University of Roma 'La
Sapienza', Italy, and the PhD degree in Biomedicine from Universitat Pompeu Fabra
(UPF) and Center for Genomic Regulation (CRG) of Barcelona, Spain. His research is
devoted to the development and application of computational methods in Precision
Medicine with a special emphasis on Machine Learning and Artificial Intelligence. Silvina Catuara Solarz Women's Brain Project (WBP), World Health Organisation (WHO), European Institute
of Innovation and Technology Health (EIT Health). Silvina Catuara-Solarz, Ph.D. is a translational neuroscientist with expertise in
neurodevelopmental, neurodegenerative and psychiatric disorders. After earning a
Ph.D. in Biomedicine by the Pompeu Fabra University that she developed at the Centre
for Genomic Regulation (CRG), the Hospital del Mar Research Institute (IMIM)
(Barcelona, Spain) and the University of California Irvine (Irvine, United States), she
worked on target identification for drug development at Janssen Pharmaceutica
(Beerse, Belgium). Driven by her interests in merging Technology and Health, she then
joined the Health Moonshot at Telefonica Innovation Alpha (Barcelona, Spain) as
Strategy Manager where she was involved with the development of evidence-based
digital mental health solutions and their efficacy assessment.
Given her conviction in the importance of sex and gender for the progress of medicine,
Dr. Catuara-Solarz is an active member of the Women's Brain Project. She has a track
record of high impact scientific publications as well as books for the lay audience.
Currently Dr. Catuara-Solarz is a selected member of the World Health Organisation
Digital Health Roster of Experts and she serves in the European Institute of
Innovation and Technology Health (EIT Health) as a project evaluator and a mentor of
start-ups in the digital health and medtech sector. Emre Guney Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research; Institute (IMIM) and Pompeu Fabra University (UPF), Barcelona, Spain; Pharmacology and Personalised Medicine department, Maastricht University, Maastricht, The Netherlands. Emre Guney, Ph.D. is a Senior Research Fellow at the Research Programme on Biomedical Informatics (GRIB), at the Pompeu Fabra University (UPF) and Hospital del Mar Research Institute (IMIM) in Barcelona, Spain and works on developing computational systems biology models for network medicine. He holds a secondary appointment at the Pharmacology & Personalised Medicine department at Maastricht University in the Netherlands. He obtained a B.S. in Computer Engineering from Middle East Technical University (METU), Ph.D. in Biomedicine from Pompeu Fabra University (UPF) and spent several years as a postdoctoral scholar at the Center for Complex Network Research (CCNR) and the Center for Cancer Systems Biology (CCSB), Boston, MA, USA.
