Sejal Shah – författare

In the linked essays that make up her debut collection, This Is One Way to Dance, Sejal Shah explores culture, language, family, and place. Throughout the collection, Shah reflects on what it means to make oneself visible and legible through writing in a country that struggles with race and maps her identity as an American, South Asian American, writer of color, and feminist. This Is One Way to Dance draws on Shah’s ongoing interests in ethnicity and place: the geographic and cultural distances between people, both real and imagined. Her memoir in essays emerges as Shah wrestles with her experiences growing up and living in western New York, an area of stark racial and economic segregation, as the daughter of Gujarati immigrants from India and Kenya. These essays also trace her movement over twenty years from student to teacher and meditate on her travels and life in New England, New York City, and the Midwest, as she considers what it means to be of a place or from a place, to be foreign or familiar.Shah invites us to consider writing as a somatic practice, a composition of digressions, repetitions—movement as transformation, incantation. Her essays—some narrative, others lyrical and poetic—explore how we are all marked by culture, gender, and race; by the limits of our bodies, by our losses and regrets, by who and what we love, by our ambivalences, and by trauma and silence. Language fractures in its attempt to be spoken. Shah asks and attempts to answer the question: How do you move in such a way that loss does not limit you? This Is One Way to Dance introduces a vital new voice to the conversation about race and belonging in America.

From the author of This Is One Way to Dance, linked genre-queer short stories braided with images and ephemera explore the experiences of growing up and living as a diasporic Gujarati woman searching for home.In the eleven linked short stories of How to Make Your Mother Cry, Sejal Shah builds a shrine gleaming with memory and myth. Keys, rocks, photographs, fairy tales, fables, and relics all add texture and meaning to an exploration of growing up and living as a diasporic Gujarati woman in a culture that excuses the behavior of men. Throughout, girls and women contend with the expectations, limitations, and challenges of becoming the heroine of one’s own life.How to Make Your Mother Cry--Shah’s follow-up to her award-winning essay collection This Is One Way to Dance--continues the rich tradition of innovative feminist work by Claudia Rankine, Leslie Marmon Silko, and Maxine Hong Kingston. By braiding stories and images with fictional letters to a beloved English teacher, the collection defies traditional autofiction, epistolary, and short story conventions. These genre-queer stories about friendship and love, resilience and survival establish Shah as an exciting new voice in contemporary fiction.

This book introduces the revolutionary use of AI in the field of cervical cancer detection. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in cervical cells and tissue, enabling the detection of abnormal cells and precancerous changes that may indicate the presence of cervical cancer.

This book introduces the revolutionary use of AI in the field of cervical cancer detection. The book explores how advanced computer algorithms can analyze medical images and patient data to enhance early detection and accurate diagnosis of cervical cancer. The book starts by providing a comprehensive overview of cervical cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of artificial intelligence and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in cervical cells and tissue, enabling the detection of abnormal cells and precancerous changes that may indicate the presence of cervical cancer. Drawing on the latest research and real-world case studies, the book showcases the various AI techniques used for cervical cancer screening, including the analysis of Pap smear and liquid-based cytology images. This book is an essential read for healthcare professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare.

This book analyzes using artificial intelligence (AI) for the purpose of oral cancer early detection. The book explores how advanced computer algorithms can analyze medical images, transcriptomic/epigenetic profiles, and relevant patient data to enhance early detection and accurate diagnosis of oral cancer, to prevent death and disability, and improve quality of life. The book starts by providing a comprehensive overview of oral cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of AI and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can “see” patterns in oral cells and tissue, enabling the detection of abnormal cells and precancerous transcriptomic or epigenetic changes that may indicate the presence of oral cancer. This book intended for professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare.

This book provides a comprehensive and accessible exploration of how Artificial Intelligence (AI) is transforming the field of Genomics and personalized medicine. The book brings together the latest methods, tools, and real-world applications that enable scientists and clinicians to interpret complex genetic data, discover disease-causing patterns, and design precision therapies. Covering topics from deep learning and multi-omics integration to ethical and regulatory considerations, the book bridges the gap between computational innovation and clinical translation. Designed for researchers, students, healthcare professionals, and biotech innovators, this book offers clear explanations, illustrative case studies, and forward-looking insights into how AI is shaping the future of medicine and human health.

This book introduces the concept of using AI for the purpose of lung cancer early detection. The book explores how advanced computer algorithms can analyze medical images, transcriptomic/epigenetic profiles, and relevant patient data to enhance early detection and accurate diagnosis of lung cancer, to prevent death and disability, and improve quality of life. The book starts by providing a comprehensive overview of lung cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of artificial intelligence and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in oral cells and tissue, enabling the detection of abnormal cells and precancerous transcriptomic or epigenetic changes that may indicate the presence of oral cancer. Drawing on the latest research and real-world case studies, the book showcases the various AI techniques used for lung cancer screening, including the automated image processing and analysis of incisional or excisional biopsy-based cytology images.