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Path Catalog
Data is pulled live from GET /api/v1/paths, and only Paths with a published version are listed.
7801 Paths · page 291 / 781
This advanced graduate-level path equips learners with the knowledge to apply artificial intelligence in medical diagnostics and treatment. It covers foundational machine learning and deep learning, medical imaging analysis, clinical decision support, and the critical aspects of validation, ethics, and deployment in healthcare.
This advanced graduate-level path provides a comprehensive understanding of 3D bioprinting, covering foundational concepts in tissue engineering, the three main bioprinting modalities (inkjet, extrusion, laser-based), and the design and evaluation of tissue constructs. Learners will explore bioink selection, crosslinking, and the application of bioprinting to create functional tissue substitutes.
This advanced graduate-level path equips learners with the interdisciplinary knowledge to understand, design, and apply organ-on-a-chip (OOC) and microphysiological systems (MPS). It builds from foundational cell biology and microfluidics through fabrication, co-culture, and microenvironmental control, culminating in design principles, disease modeling, and analytical validation.
This advanced graduate-level learning path explores the principles and applications of nanotechnology in medicine, focusing on nanoparticles, theranostics, targeting strategies, and toxicity considerations. It integrates foundational knowledge in biomaterials and biology to provide a comprehensive understanding of nanomedicine design, evaluation, and translation.
This learning path equips data scientists with the knowledge and skills to apply data science to healthcare problems, focusing on electronic health records (EHR) analysis, predictive modeling, and privacy considerations. It covers essential statistics, programming, and domain-specific concepts, building from fundamentals to advanced applications.
This learning path equips imaging engineers with the knowledge to design, calibrate, and assure the quality of diagnostic imaging systems. It covers the core physics and engineering principles, system architecture, calibration methods, and quality assurance protocols essential for professional practice.
This advanced professional learning path equips product engineers with the knowledge to design wearable health monitoring devices. It covers sensor technologies, power management, wireless connectivity, and data analytics, emphasizing practical application and system integration.
This advanced graduate-level path equips learners with the engineering principles behind stem cell culture, differentiation, and bioprocessing, with a focus on tissue engineering applications. It covers stem cell biology fundamentals, bioprocess engineering, and the design of engineered microenvironments.
This advanced professional learning path equips clinical researchers with the knowledge to design, conduct, and evaluate clinical trials. It covers foundational biostatistics, trial design, ethical and regulatory frameworks, and practical implementation, ensuring rigorous and compliant research.
This learning path equips safety engineers with the knowledge and skills to apply risk management principles to biomedical devices, focusing on ISO 14971, FMEA, and practical mitigation strategies. It progresses from foundational concepts to advanced application, ensuring learners can integrate risk management into device design and lifecycle.