New Strategies in Preventing Inflammatory and/or Oxidative Stress-Induced Damages in Ischemia-Reperfusion Injury, 2nd Edition
Documentation and Pharmaceutical Regulatory Writing for Students and Practitioners
Marine Anti-Inflammatory and Antioxidant Agents, 4th Edition
Nutrition and Growth of Preterm Neonates during Hospitalization
SAFE TRAVELS - Tips, Tools, and Insights for Safe Psychedelic Navigation
Green Extraction and Formulation of Antioxidants Derived from Food and Agricultural Waste
The Role of Bioactive Compounds in Human Health and Diseases (2nd Edition)
Engineering and Characterisation of Novel Nanomedicine Formulations, 2nd Edition
Advanced Clinical Technologies in Treating Neurosurgical Diseases
Epidemiology, Virulence Factors and Antimicrobial Resistance in Staphylococcus aureus
AI for Medical Laboratory Scientists
Transform Your Laboratory Practice with Artificial Intelligence and Machine Learning Clinical laboratories stand at the forefront of a technological revolution. Artificial intelligence is reshaping every aspect of laboratory medicine-from automated cell classification and predictive quality control to intelligent result interpretation and clinical decision support. Yet most laboratory professionals lack the knowledge needed to understand, implement, and optimize these powerful tools. AI for Medical Laboratory Scientists: Artificial Intelligence and Machine Learning for Laboratory Medicine bridges this critical gap. This comprehensive textbook provides medical laboratory scientists, pathologists, laboratory directors, and medical technologists with practical, accessible guidance on AI applications across all laboratory disciplines. Master AI fundamentals without programming knowledge. Learn essential concepts including machine learning, deep learning, and neural networks through laboratory-specific examples. Understand supervised versus unsupervised learning, training data requirements, algorithm validation, and performance metrics-all explained in plain language for non-programmers. Explore AI applications across laboratory disciplines. Discover how machine learning enhances clinical chemistry automation, digital pathology image analysis, hematology cell classification, microbiology pathogen identification, molecular diagnostics interpretation, and laboratory informatics optimization. Each chapter provides detailed case studies demonstrating real-world implementations. Implement AI successfully in your laboratory. Follow step-by-step guidance covering readiness assessment, vendor evaluation, workflow integration, staff training, regulatory compliance (FDA, CLIA, CAP), validation protocols, and ongoing performance monitoring. Learn from detailed case studies highlighting both successes and failures. Navigate ethical and regulatory requirements. Understand FDA frameworks for AI medical devices, CLIA validation requirements, CAP accreditation standards, bias detection strategies, patient privacy considerations, and liability issues. Address algorithmic fairness and health equity concerns proactively. Prepare for laboratory medicine's AI-enabled future. Explore emerging technologies including quantum computing, edge AI, and federated learning. Understand changing roles for laboratory professionals and identify career opportunities in AI-enabled laboratories. What You'll Learn: AI and machine learning fundamentals explained for laboratory professionals Automated result validation and intelligent delta check optimization Digital pathology with computer vision and convolutional neural networks Machine learning applications in hematology, microbiology, and molecular diagnostics Laboratory informatics, data analytics, and clinical decision support systems Real-time quality control and predictive maintenance strategies Implementation planning, vendor selection, and change management Validation methodologies, performance metrics, and bias detection Regulatory compliance including FDA, CLIA, and CAP requirements Practical project examples with step-by-step implementation guides Who This Book Is For: Medical laboratory scientists seeking AI literacy for career advancement. Laboratory directors evaluating AI implementations. Medical technologists updating technical skills. Pathologists integrating digital pathology systems. MLS/MLT students preparing for AI-integrated practice. Laboratory managers optimizing workflows with machine learning. Clinical laboratory educators developing AI curriculum.
Recent Advances in Trauma and Orthopaedic Surgery
The aim of this reprint is to immerse the reader in the recent advances in trauma and orthopaedic surgery. In more detail, experts in this field share their thoughts not only on trauma surgery but also on elective orthopaedics. Together, we embark on a journey to unravel the potential of new technologies and techniques that are likely to change orthopaedic clinical practice.
Drug Metabolism and Toxicological Mechanisms
Absorption, distribution, metabolism, and excretion processes are of importance in understanding how the body responds to drugs. These processes play a pivotal role in assessing the efficacy and safety of drugs, while also enabling the prediction of potential adverse reactions or toxicities. This Special Issue collects articles that span molecular mechanisms, clinical toxicology, preclinical studies, and regulatory innovation. Contributions explore the dynamic evolution of drug metabolism research, emphasizing mechanistic clarity, technological innovation, and translational relevance.
Mitochondrial Metabolism Alterations in Health and Disease
Mitochondria are key organelles responsible for cell energy production, and they are essential for eukaryotic life. They take part in critical metabolic pathways and are fully integrated into intracellular signaling networks, cellular differentiation, and apoptosis. Mitochondrial functions extend beyond cell boundaries and influence the organisms' physiology by regulating the communication between cells and tissues. Mitochondria are involved in a range of conditions, including inherited mitochondrial disorders, neurodegenerative diseases, dystrophies, heart failure, cardiac dysfunction, vascular diseases and atherosclerosis, pulmonary and respiratory disorders, renal diseases, metabolic disorders, diabetes, aging, and cancer. Therefore, they are attracting increasing attention with the aim of fully understanding the link between the mitochondrial metabolism and the dysregulation of many cellular processes.
Hospital & Clinical Pharmacy for Diploma
Hospital and Clinical Pharmacy is a perfect guide for D. Pharm [E.R 2020] students aspiring to have a flourishing career in pharmacy. This book is designed as per the latest syllabus and covers a wide range of topics in the field of pharmacy. With its 18 chapters the book covers a variety of subjects such as Hospital Pharmacy Hospital Committees Hospital Formulary Supply Chain and Inventory Control Management of Central Drug Store and Storage of Drugs Drug Distribution Compounding in Hospitals Radio Pharmaceuticals Application of Computers in Hospital Pharmacy Practice Clinical Pharmacy Pharmaceutical Care Medication Therapy Management and Home Medication Review Laboratory Tests Drug Information Center Poison Information Centre Pharmacovigilance Medication Errors and Drug Interactions. This book is written in an easy-to-understand language and includes model questions at the end of each chapter making it an ideal book for students preparing for their exams. Every chapter is neatly explained with sub-headings listed in the content s pages helping readers to locate the topic they want to read effortlessly. Hospital and Clinical Pharmacy holds significant importance in the pharmacy sector and this book covers all the essential topics needed to excel in this field. Whether you are a student or a professional pharmacist this book will enrich your knowledge and expand your understanding of the subject. Get your hands on this book today and embark on a journey towards a successful pharmacy career.
