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Exploring the Mysteries of Life: A Comprehensive Guide to Biology and Genetics
Chapters Chapter 1: Introduction to Biology and Genetics Chapter 2: Scientific Method: Uncovering the Truth Chapter 3: Biotechnology: Shaping the Future Chapter 4: Unveiling the Wonders of Animal Life Chapter 5: Molecular Biology: Unraveling the Code Chapter 6: Embracing Technological Innovations in Treatment of newest complex psychological and psychiatric disorders Chapter 7: The Cell: Structure and Function Chapter 8: Microorganisms: Invisible Powerhouses Chapter 9: Genetics: The Blueprint of Life
Integrative Approaches in Neurology and Hematology: Bridging Neurodegenerative Diseases, Cancer, and Deep Learning Innovations
Chapters Chapter 1: Pathophysiology of Neurodegenerative Diseases: Unraveling the Mechanisms of Alzheimer's and Parkinson's Chapter 2: Hematologic Malignancies: Intersections with Neurological Manifestations and Treatment Implications Chapter 3: Advancing Imaging Techniques: MRI, PET, and Beyond in the Diagnosis of Neurodegenerative and Hematologic Disorders Chapter 4: Deep Learning Applications in Neurology: Enhancing Diagnosis and Predictive Analytics for Alzheimer's and Parkinson's Chapter 5: Synergistic Mechanisms of Neuroinflammation and Cancer: Implications for Dual Pathologies Chapter 6: Future Frontiers in Neuro-oncology: Targeted Therapies and Biomarkers in the Management of Comorbid Conditi
Advances in CAR T Cell Therapy: Transforming Oncology
Chapters Chapter 1: Fundamentals of CAR T Cell Therapy Chapter 2: Mechanistic Insights into CAR T Cells Chapter 3: Clinical Efficacy and Applications Chapter 4: Addressing Challenges and Adverse Effects Chapter 5: Innovations and Future Directions
Immunotherapy For Researchers
Chapter1: Definition and history Chapter2: Identify different categories of immunotherapy Chapter3: Immunosuppressors Chapter4: Cytokines Chapter5: Monoclonal antibodies Chapter6: Immunoglobulin Therapy Chapter7: CAR T-cell Therapy Chapter8: Immune Checkpoint Inhibitors Chapter 9: An overview of articles
Modern Perspectives in Psychology: Integrating Science and Practice
Chapters Chapter 1: Origins - Historical Foundations Chapter 2: Methods - Research Techniques Chapter 3: Neuroscience - Brain Functionality Chapter 4: Behaviorism - Learning Theories Chapter 5: Cognition - Mental Processes Chapter 6: Emotion - Affective Science Chapter 7: Development - Lifespan Psychology Chapter 8: Social Influence - Group Dynamics Chapter 9: Mental Health - Disorders and Treatments Chapter 10: Applications - Psychology in Real Life
Slavery and Bondage in Medieval North India
This book examines slavery in India from the Turkish conquest of North India to the centuries of Mughal rule. It focuses on the northern Islamic regimes’ treatment of slavery but not limited or determined by the actions and demands of the ruling class alone. Societies normalized the practices, and the norms were socially constituted, which included slaves’ acceptance, resistance, and use of agency in the process. It shows how the transformations on the ground made the social-economic and ethical environment of slavery no longer the same over the centuries and the expansion or contraction of slavery corresponded to the structural changes and ethical developments specific to the Indian milieu. The volume will be of great interest to scholars and researchers of South Asian studies, history and slavery.
Applications of Machine Learning and Deep Learning on Biological Data
The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and deep learning (DL) have increased the speed and ef...
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