Maurice alexander marshall (21 risultati)

Paperback or Softback. Condizione: New. AI for Medical Laboratory Scientists: Artificial Intelligence and Machine Learning for Laboratory Medicine. Book.

Paperback. Condizione: New.

Paperback. Condizione: New.

Condizione: New.

Soft cover. Condizione: Near Fine. First Printing - First Thus. 88 pp. Lightly rubbed on the corners with a flat uncreased spine; no interior markings. Includes the original CD. The story as told to: Liam Neeson; Harrison Ford; Melissa Mathison; Angela Lansbury; Nathan Lane; Jason Alexander; Dr Ruth Westheimer; Madonna; Carrie Fisher; Penny Marshall; Melissa Joan Hart; Jonathan Taylor Thomas; Jeff Goldblum; Dan Aykroyd; Robin Williams; Geena Davis; Calvin Klein; Rosie O'Donnell; Fran Drescher; Joan Rivers; Gen. H. Norman Schwarzkopf; John Lithgow; and Steven Spielberg. Illustrated in full colour by: Quentin Blake; Maurice Sendak; Kinuko Y. Craft; Peter de Seve; Etienne DElessert; C. F. Payne; Mark Teague; Steve Johnson; Lou Fancher; Daniel Adel; Carter Goodrich; S. Saelig Gallagher; Gary Kelley; David Christiana; Chris Van Allsburg; Berkeley Breathed; Steve Kellog; Tomie de Paola; Michael Paraskevas; Fred Marcellino; Don Wood; Graeme Base; and William Joyce. Size: 4to. Quentin Blake; Maurice Sendak; Kinuko Y. Craft; Peter de Seve; Etienne DElessert; C. F. Payne; Mark Teague; Steve Johnson; Lou Fancher; Daniel Adel; Carter Goodrich; S. Saelig Gallagher; Gary Kelley; David Christiana; Chris Van Allsburg; et al; (illustratore). Book.…

Condizione: New.

Paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: new. Paperback. 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 machi Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: Brand New. 1st edition. 274 pages. 9.00x6.00x0.50 inches. In Stock.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Transform Your Laboratory Practice with Artificial Intelligence and Machine LearningClinical 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 professionalsAutomated result validation and intelligent delta check optimizationDigital pathology with computer vision and convolutional neural networksMachine learning applications in hematology, microbiology, and molecular diagnosticsLaboratory informatics, data analytics, and clinical decision support systemsReal-time quality control and predictive maintenance strategiesImplementation planning, vendor selection, and change managementValidation methodologies, performance metrics, and bias detectionRegulatory compliance including FDA, CLIA, and CAP requirementsPractical project examples with step-by-step implementation guidesWho 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.…

Taschenbuch. Condizione: Neu. AI for Medical Laboratory Scientists | Artificial Intelligence and Machine Learning for Laboratory Medicine | Maurice Alexander Marshall | Taschenbuch | Englisch | 2025 | Jstone Publishing | EAN 9781923604797 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Paperback. Condizione: Brand New. 1st edition. 274 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.