Most biological pathways, physical and neurological properties are highly conserved between humans and Drosophila and nearly 75% of human disease-causing genes have a functional homologue in Drosophila.
This volume covers the emerging area of science, Clinical Lipidomics, which is the application of lipidology to the understanding of physiological and pathophysiological changes of lipidomes, with a special focus on lipidomic profiles in human diseases.
This book presents non-linear image enhancement approaches to mammograms as a robust computer-aided analysis solution for the early detection of breast cancer, and provides a compendium of non-linear mammogram enhancement approaches: from the fundamentals to research challenges, practical implementations, validation, and advances in applications.
This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics.
This book systematically reviews the most important findings on cancer immune checkpoints, sharing essential insights into this rapidly evolving yet largely unexplored research topic.
This book systemically presents the latest research on lectins, covering all the major topics in the field, including the heterocomplex of lectins and Toll-like receptors, protective versus pathogenic functions in connection with microbial infections, and novel strategies for enhancing host immunity against infectious diseases caused by viruses, bacteria, and fungi.
This book focuses on lipid metabolism in tumor immunity, covering the application of lipidomics in tumor immunity and all aspects of lipid metabolism in tumor microenvironment.
This book provides an overview of the etiology of coronary artery disease and focuses on the main therapies and drug interventions currently available.
This book presents methodological and application research in detecting cellular and molecular biophysical properties based on atomic force microscopy (AFM) nanorobotics.
This book introduces readers to the biology of leukemia stem cells (LSCs) and emphasizes the necessity and importance of targeting LSCs in the treatment of hematopoietic malignancies.
This book describes recent advances in translational research in breast cancer and presents emerging applications of this research that promise to have meaningful impacts on diagnosis and treatment.
This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications.
The book discusses the recent progress in understanding the therapeutic targets for gallbladder cancer to provide opportunities for research and for developing innovative strategies that may enhance the benefit of conventional chemotherapy.
This book highlights the use of artificial intelligence (AI), big data and precision oncology for medical decision making in cancer screening, diagnosis, prognosis and treatment.
The book covers all aspects of immune-mediated diseases of the muscle and nerve, which are a group of complex diseases, whose diagnosis needs a team of specialists in the field of neuropathology, immunopathology, neurology, and rheumatology.
This book describes the use of stem cells and cancer stem cell generation in the inflammatory microenvironment (cancer-inducing niche) using induced pluripotent stem cells.
This book presents an important reflection on the concept and limits of the Fundamental Right to Health as opposed to a supposed "e;Right to Hope"e; in the context of the treatment of patients with advanced cancer.
The present work corresponds to a compilation of independent contributions in the fields of endocrinology, immunity, cancer, neurobiology, and myology.
This book presents an important reflection on the concept and limits of the Fundamental Right to Health as opposed to a supposed "e;Right to Hope"e; in the context of the treatment of patients with advanced cancer.
The present work corresponds to a compilation of independent contributions in the fields of endocrinology, immunity, cancer, neurobiology, and myology.
This book describes the use of stem cells and cancer stem cell generation in the inflammatory microenvironment (cancer-inducing niche) using induced pluripotent stem cells.
The book “Machine Learning for Disease Detection, Prediction, and Diagnosis” can be a comprehensive guide to the novel concepts, techniques, and frameworks essential for improving the viability of existing machine-learning practices.
The book covers a range of unique, challenging, and complicated respiratory and critical illness cases (pneumonia, cancer, asthma), and other internal medicine conditions.
The field of antibody-drug conjugates (ADCs) has undergone remarkable advancements in recent years, marked by significant progress in both drug approvals and ongoing clinical development.
This thesis describes the authors' pioneering efforts in the conceptualization and implementation of combined platinum-based immuno-chemotherapeutics, which represent a significant paradigm shift from the conventional approach of directly targeting cancer.
This thesis mainly focuses on the design and synthesis of novel multifunctional nanoprobes, investigating their feasibility for applications involving sensing, molecular imaging, and the simultaneous diagnosis and therapy of cancer.
This book highlights the current state of the art in single cell analysis, an area that involves many fields of science - from clinical hematology, functional analysis and drug screening, to platelet and microparticle analysis, marine biology and fundamental cancer research.
This book offers a comprehensive introduction to translational efforts in breast cancer, addressing the latest approaches to precision medicine based on the current state of understanding of breast cancer.
