Divya Srivastava – författare

This issue of Dermatologic Clinics, guest edited by Drs. Divya Srivastava and Rajiv Nijhawan of UT Southwestern Medical Center, is devoted to Cutaneous Oncology and Dermatologic Surgery. Articles in this important issue include: Squamous cell carcinoma: updates on staging and management; AFX/UPS: updates on classification and management; EMPD: updates on management; Merkel Cell Carcinoma: updates on staging and management; The management of skin cancer in the elderly; Topical and systemic modalities for chemoprevention; Medications that increase risk for skin cancer development; Dermatologic surgery in the pregnant or lactating patient; Optimizing patient safety in dermatologic surgery; Perioperative antibiotic use in dermatologic surgery; Post-operative pain management in dermatologic surgery; Novel skin substitutes and surgical dressings; Optimizing the patient experience and patient satisfaction in dermatologic surgery; Surgical and Non-invasive Modalities for Scar Revision; and Pearls for dermatologic surgery in pediatric patients.

This book explores the transformative potential of artificial intelligence (AI) in addressing some of the most pressing global challenges identified by the United Nations' Sustainable Development Goals (SDGs). In this comprehensive and insightful volume, readers will embark on a journey through the intersection of AI technologies and sustainable development, learning how innovative AI solutions can contribute to building a more equitable, resilient, and sustainable future.  The book begins with an introduction to AI and its relevance to the SDGs, followed by chapters that explore diverse applications and innovations. Key topics include AI's role in climate change mitigation and adaptation, predictive environmental modelling, and the enhancement of renewable energy systems. The book also covers AI applications in agriculture, water resource management, urban planning, waste management, and biodiversity conservation. The authors also address the integration of AI in sustainable transportation systems, disaster risk reduction, and healthcare. Real case studies enable readers to gain practical insights into successful AI-driven projects that advance sustainable development goals.

This book explores the transformative potential of artificial intelligence (AI) in addressing some of the most pressing global challenges identified by the United Nations' Sustainable Development Goals (SDGs). In this comprehensive and insightful volume, readers will embark on a journey through the intersection of AI technologies and sustainable development, learning how innovative AI solutions can contribute to building a more equitable, resilient, and sustainable future.  The book begins with an introduction to AI and its relevance to the SDGs, followed by chapters that explore diverse applications and innovations. Key topics include AI's role in climate change mitigation and adaptation, predictive environmental modelling, and the enhancement of renewable energy systems. The book also covers AI applications in agriculture, water resource management, urban planning, waste management, and biodiversity conservation. The authors also address the integration of AI in sustainable transportation systems, disaster risk reduction, and healthcare. Real case studies enable readers to gain practical insights into successful AI-driven projects that advance sustainable development goals.