Colorectal Cancer Diagnosis : Advancements and Applications

This book highlights the potential applications of microbots for minimally invasive diagnosis of colorectal cancer (CRC), enhancing the accuracy of colonoscopy and improving drug delivery for more precise and effective treatments. The introductory chapter explores advanced CRC diagnostic and therapeutic approaches, from understanding the disease’s prevalence to assessing the limitations of invasive techniques. It further discusses non-invasive screening methods and state-of-the-art imaging technologies, paving the way for less intrusive and more accessible diagnostics. The book, in turn, reviews techniques to tailor microbots for specifically targeting cancer cells effectively and provides a comparative analysis with nanobots for their potential in cancer diagnostics and therapeutics. It explores the intersection of photodynamic therapy and microrobotic technology, shedding light on the future of cancer therapy. With a focus on clinical translation, this book provides insight into the future application of mobile microrobots in medical imaging and in vivo perspectives of colorectal cancer, ultimately addressing the broader applications of bio-nanotechnology and microrobots in the realm of gastrointestinal diseases and cancer. This book is intended for researchers, students, and academicians in the fields of oncology, nanotechnology, and medical sciences. Key Features Explores the latest advancements in microbot applications in diagnosis and drug delivery in colorectal cancer Offers a comprehensive examination of colorectal cancer diagnostics, ranging from traditional colonoscopies to advanced imaging technologies Presents practical applications and the potential for clinical translation of microbots in diagnosing and treating colorectal cancer Examines the potential use of mobile microrobots in medical imaging and offers in vivo perspectives on colorectal cancer Discusses techniques for customizing microbots to effectively target cancer cells and provides a comparat