This book constitutes the refereed proceedings of the 17th International Conference on Bioinformatics and Computational Biology, BICOB 2025, held in San Francisco, CA, USA, on March 17, 2025.
In diesem Buch erlautern Wissenschaftler mit jahrzehntelanger Erfahrung in der angewandten Forschung uber Stechmucken auf verstandliche Weise deren Lebensweise, medizinische Relevanz sowie Methoden zu ihrer Bestimmung und Bekampfung.
This volume explores the biologically active compounds found in 21 high-value medicinal and aromatic plant species native to Malaysia, emphasizing their phytochemical diversity and biological activities.
This book explores the concept of nature-based solutions (NbS) as a sustainable approach to tackle the environmental challenges in urban and peri-urban areas such as biodiversity loss and urbanization in the changing climate.
This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection.
The goal of this book is to provide practical guidance for novice researchers; it offers a systematic guide to achieving publication success from experts in the field.
This book discusses the role of nanobiotechnology in genetic engineering, abiotic stress, nanobionics, postharvest reduction, soilless farming, climate change, precision agriculture, food packaging and processing.
This book provides a comprehensive overview of the cheese making process, from the roles of various starter cultures and coagulants through to the advanced cheese ripening process.
This book presents the latest advances in intelligent biomaterials, a fast developing area for disease diagnosis and treatments, health management and rehabilitations.
This book is written for clinicians who care for patients with hepatocellular carcinoma (HCC) as well as health services researchers doing work in this area.
This contributed volume follows up and expands upon Target Pattern Recognition in Innate Immunity (2009), providing a much-needed update on an area that has surged to the forefront of medical research in recent years.
This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection.
