Sex, Gender, and Emerging Technology in Healthcare: Mitigating Bias and Fostering Equity
From Biology to Care: Sex and Gender Impacts on Health and Medicine
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Beschreibung
This book, Sex, Gender, and Emerging Technology in Healthcare: Mitigating Bias and Fostering Equity, is a timely and comprehensive exploration of how sex and gender influence health, disease, and medical research. With increasing recognition of the critical role that biological sex and gender identity play in health outcomes, this book seeks to bridge the gaps in current understanding and offer practical insights for researchers, clinicians, and policymakers.
The motivation behind this book stems from a growing awareness of sex and gender disparities in medicine. Historically, research has often been conducted using male subjects as the default, overlooking the distinct biological, physiological, and sociocultural factors that affect health in women and gender-diverse populations. This oversight has contributed to inequities in diagnosis, treatment, and outcomes. By integrating cutting-edge research across multiple disciplines, this book responds to the urgent need for a more inclusive and nuanced understanding of health and disease.
The aim of this book is to provide a foundational and advanced exploration of sex and gender differences in health, using an interdisciplinary approach that integrates biology, neuroscience, pharmacology, oncology, environmental health, and machine learning. The book's scope includes the latest research on sex-specific disease mechanisms, gender-sensitive clinical practices, and innovative methodologies for studying these differences. It presents these topics at both foundational and advanced levels, making the book accessible to a broad audience while remaining a valuable resource for experts.
This book, Sex, Gender, and Emerging Technology in Healthcare: Mitigating Bias and Fostering Equity, is a timely and comprehensive exploration of how sex and gender influence health, disease, and medical research. With increasing recognition of the critical role that biological sex and gender identity play in health outcomes, this book seeks to bridge the gaps in current understanding and offer practical insights for researchers, clinicians, and policymakers.
The motivation behind this book stems from a growing awareness of sex and gender disparities in medicine. Historically, research has often been conducted using male subjects as the default, overlooking the distinct biological, physiological, and sociocultural factors that affect health in women and gender-diverse populations. This oversight has contributed to inequities in diagnosis, treatment, and outcomes. By integrating cutting-edge research across multiple disciplines, this book responds to the urgent need for a more inclusive and nuanced understanding of health and disease.
The aim of this book is to provide a foundational and advanced exploration of sex and gender differences in health, using an interdisciplinary approach that integrates biology, neuroscience, pharmacology, oncology, environmental health, and machine learning. The book's scope includes the latest research on sex-specific disease mechanisms, gender-sensitive clinical practices, and innovative methodologies for studying these differences. It presents these topics at both foundational and advanced levels, making the book accessible to a broad audience while remaining a valuable resource for experts.
Combines clinical science, AI, and public health to provide a holistic view of health equity challenges and solutions Offers actionable strategies and practical examples for implementing AI in clinical and policy settings Emphasizes inclusivity and reducing health disparities across diverse populations
Autor*in
Heisook Lee
Themen in »Sex, Gender, and Emerging Technology in Healthcare: Mitigating Bias and Fostering Equity«
Sex and gender differences in health Artificial intelligence in healthcare Health equity and precision medicine Clinical science and AI integration Sex-specific medicine Gender-sensitive medicine AI-driven health research Neuroscience and sex differences Machine learning in medicine Promoting health equity with AI Gender disparities in healthcare Biomedical innovations for equity Public health and AI applications