Special Issue Information (SCOPUS)

Dear researchers,

We are excited to propose a special issue dedicated to the intersection of two rapidly evolving fields: immunotherapy and information technology. This special issue aims to explore the synergies and cutting-edge advancements stemming from the integration of these fields, shedding light on the transformative potential in healthcare and biomedical research.

The proposed special issue will delve into the exciting integration of immunotherapy and information technology, showcasing innovative research, novel applications, and breakthrough discoveries. We invite submissions that cover a wide range of topics, including but not limited to:
1. Machine Learning and Artificial Intelligence in Immunotherapy:
Predictive models for personalized treatment plans
Automated analysis of immune system response
Deep learning approaches for immunological data analysis
2. Data Management and Analysis in Immunotherapy:
Secure and scalable data platforms for immunological research
Integration of multi-omics data for comprehensive patient profiling
Data-driven insights for immunotherapy response prediction
3. Telemedicine and Digital Health Technologies in Immunotherapy:
Remote patient monitoring and teleconsultation in immunotherapy
Wearable devices and IoT technologies for real-time patient data collection
Mobile applications supporting self-care and treatment adherence
4. Blockchain and Data Privacy in Immunotherapy:
Secure and transparent sharing of patient data
Decentralized clinical trials and consent management
Privacy-preserving algorithms for genetic and immunological data analysis
5. Virtual Reality and Augmented Reality in Immunotherapy:
Immersive training platforms for healthcare professionals
Patient education and therapy assistance through virtual environments
Visualization and simulation of immune system interactions

Submission Guidelines: We invite researchers, clinicians, and practitioners from both immunotherapy and information technology domains to submit their original research articles, reviews, and case studies. All submissions will undergo a rigorous peer-review process to ensure the highest scientific quality.

We anticipate that this special issue will foster interdisciplinary collaborations and spark innovative ideas within both fields. By highlighting the integration of immunotherapy and information technology, we aim to accelerate the development of more effective and personalized treatments for patients.
We look forward to receiving your contributions and collectively shaping the future of healthcare through this exciting convergence.

Keywords:
Predictive models; Automated analysis; Genetic Algorithms; Neural Network; Deep learning approaches; Secure and scalable data platforms; Integration of Artificial intelligence and machine learning; Remote patient monitoring and teleconsultation; Wearable devices and IoT technologies; Patient education and therapy; Visualization and simulation; Blockchain Technology; Virtual Reality and Augmented Reality

Special Issue Editors:

Dr. Shashi Kant Gupta
Post Doctoral Fellow, Eudoxia Research University, USA

Dr. Prasanalakshmi Balaji
College of Computer Science, King Khalid University, Kingdom of Saudi Arabia

Dr. Qasem Abu Al-Haija
Department of Cyber Security, Jordan University of Science and Technology, Jordan