Artificial Intelligence in Immunoengineering

Methods, Models, and Translational Applications

1 Edición - 1 de marzo de 2027
Última edición
Autores: Steven Zanganeh, Thomas J Webster
Idioma: Inglés

Artificial Intelligence in Immunoengineering: Methods, Models, and Translational Applications examines how AI reshapes immunoengineering to design immune-modulating biomat… Leer más

Descripción

Artificial Intelligence in Immunoengineering: Methods, Models, and Translational Applications examines how AI reshapes immunoengineering to design immune-modulating biomaterials, imaging systems, and diagnostic tools. The book presents an integrated view of data-driven approaches that accelerate discovery and translation in biomedicine. It surveys biological data from single-cell to spatial omics and proteogenomics and offers practical machine learning frameworks, generative and mechanistic models, and multimodal integration strategies. Sections address bench-to-bedside translation, validation pipelines, and regulatory considerations for AI-enabled immunoengineering tools.

The book highlights the rapid progress of multidisciplinary research within immunotherapy and immunoengineering. Looking forward, the prospects of immunoengineering appear promising, with further advancements in disease prevention, diagnostics, and treatment on the horizon. Graduate students, academic researchers, clinician-scientists, and computational biologists will gain standardized workflows, mechanism-aware modeling, and reproducible pipelines that advance immunotherapies and diagnostics from concept to clinical impact.

Puntos claves

Standardizes AI workflows for immune data, providing templated pipelines, pitfalls, and validation checklists
Presents mechanism-aware modeling that combines predictive ML with causal and dynamical approaches tailored to immune biology
Offers translation and regulatory guidance, including study design, validation, documentation, and deployment considerations

De interès para

Graduate students, clinician-scientists, computational biologists, and industry researchers in computational biology, biomaterials development and immunoengineering

Índice

1. Artificial Intelligence in Immunoengineering: Scope and Opportunities

2. Immune Data Landscape: From Single-Cell to Spatial and Proteogenomics

3. AI in Tissue Engineering and Regenerative Immunology

4. Biomaterials, Nanomedicine, and AI-Driven Immunomodulation

5. Machine Learning Frameworks for Immune and Bioengineering Data

6. Generative and Mechanistic Models in Bioengineering and Immunity

7. Multimodal Fusion: Integrating Imaging, Omics, and Engineered Models

8. AI in Immunoimaging and Digital Pathology

9. From Bench to Bedside: Validation, Deployment, and Regulation

10. Future Directions: Digital Twins, Systems Bioengineering, and Responsible AI

Detalles del producto

Edición: 1
Última edición
Publicado: 1 de marzo de 2027
Idioma: Inglés

Sobre los autores

Steven Zanganeh

Dr. Steven Zanganeh is an Assistant Professor at the New York Institute of Technology, USA. He earned his PhD in Biomedical Engineering from the University of Connecticut, USA, in 2014. He completed his postdoctoral training at Stanford University, USA, and Memorial Sloan Kettering Cancer Center in New York, USA.

Afiliaciones y experiencia

New York Institute of Technology, USA

Thomas J Webster

Dr. Thomas J. Webster is a pioneering professor in biomedical engineering, recognized for his leadership in academia and industry. His research focuses on applying nanotechnology to develop advanced materials for medical use, significantly improving healthcare outcomes. Dr. Webster has held prominent faculty positions in top U.S. and international universities, chaired departments, and directed international centers in biomaterials. He has also founded numerous companies translating his research into FDA-approved medical products. Widely published and a sought-after speaker, his work has been featured in major media outlets and science museums. Dr. Webster is renowned for organizing global conferences and symposia on nanomedicine and biomaterials, fostering interdisciplinary collaboration. He is the recipient of numerous prestigious awards and fellowships from leading scientific and medical organizations, demonstrating his impact and innovation in biomaterials, nanomedicine, and biomedical engineering.