Address
304 North Cardinal St.
Dorchester Center, MA 02124
Work Hours
Monday to Friday: 7AM - 7PM
Weekend: 10AM - 5PM
Welcome to the Future of AI in Clinical Trials and Research Systems
Advancing Clinical Research with
Artificial Intelligence
Empowering healthcare innovation through AI-driven clinical trials, intelligent research systems, predictive analytics, and advanced biomedical technologies.
What we do
We advance intelligent healthcare research by integrating Artificial Intelligence with clinical trials, biomedical systems, and healthcare innovation. Our platform supports researchers, clinicians, scientists, and healthcare professionals in developing smarter, faster, and more reliable medical research solutions.
AI-Powered Clinical Research
We promote advanced AI technologies that improve clinical trial design, patient recruitment, predictive analytics, and intelligent healthcare decision-making.
Biomedical Data Analytics
Our journal supports research in machine learning, medical data science, bioinformatics, and healthcare analytics to enhance medical research accuracy and efficiency.
Drug Discovery & Development
We encourage innovative AI-driven methodologies for drug discovery, pharmaceutical research, pharmacovigilance, and precision medicine systems.
Intelligent Healthcare Systems
We publish research focused on smart healthcare technologies, AI-assisted diagnostics, electronic health systems, and automated clinical workflows.
Ethical & Secure AI Research
We emphasize responsible AI implementation through research on ethical AI, explainable systems, healthcare data privacy, and regulatory compliance.
Global Scientific Collaboration
Our platform connects researchers, clinicians, academicians, and industry experts worldwide to drive innovation in AI-based healthcare and clinical research systems.
Our Journal Scope & Focus Areas
AI in Clinical Trials and Research Systems publishes cutting-edge research across a wide spectrum of topics where artificial intelligence meets clinical and biomedical sciences. Our scope is designed to reflect the rapidly evolving landscape of AI-powered healthcare innovation.
Research Topics We Cover
- Artificial Intelligence in Clinical Trial Design & Management
- Machine Learning for Patient Recruitment & Stratification
- Predictive Analytics in Disease Diagnosis & Prognosis
- Natural Language Processing in Electronic Health Records
- AI-Assisted Drug Discovery & Pharmacovigilance
- Deep Learning for Medical Imaging & Diagnostics
Additional Areas of Interest
- Federated Learning & Privacy-Preserving AI in Healthcare
- Explainable AI & Ethical Frameworks in Clinical Settings
- Blockchain & Secure Data Sharing in Clinical Research
- Digital Twins & Simulation in Biomedical Research
- AI in Regulatory Affairs & Clinical Decision Support
- Intelligent Wearables & Remote Patient Monitoring
Why Choose Us
AI in Clinical Trials and Research Systems is a pioneering open-access journal dedicated to bridging the gap between artificial intelligence and real-world clinical research. We provide a rigorous, collaborative, and globally connected platform for researchers advancing the future of healthcare.
Rigorous Peer Review Process
Every manuscript submitted to our journal undergoes a thorough double-blind peer review conducted by international experts in AI, clinical medicine, and biomedical research — ensuring the highest standards of scientific quality and integrity.
Rapid & Transparent Publication
We are committed to a fast, fair, and fully transparent editorial process. Authors receive timely feedback, clear communication at every stage, and rapid online publication upon acceptance — maximizing the impact and visibility of their work.
Broad Interdisciplinary Scope
Our journal welcomes research spanning artificial intelligence, machine learning, clinical trial design, drug discovery, biomedical data analytics, precision medicine, healthcare informatics, and ethical AI — making it the definitive home for AI-driven clinical research.
Statistical Mistakes That Lead to Rejection
Peer Review in the Age of AI | How Research Is Evaluated Today
AI flooded publishing, editors reject in seconds
Understanding Open Access and APCs — What to Pay, What to Avoid
Journal at a Glance
We are committed to accelerating the pace of AI-driven clinical research by connecting brilliant minds across borders, disciplines, and institutions.
Countries Represented
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Average Review Turnaround
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Open Access Articles
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Editorial Board & Reviewers
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Editorial Board
We are committed to accelerating the pace of AI-driven clinical research by connecting brilliant minds across borders, disciplines, and institutions.
Prof. Dr. Önder Pekcan
Department of Bioinformatics and Genetics, Kadir Has University, Turkey
Dr. Hanshen LI
China Electric Power Planning & Engineering Institute, China
Prof. Dr. Ahmed Eesa El-Shabasy
Department of Biology, Jazan University, Kingdom of Saudi Arabia
Prof. Dr. Osama Mahmoud Mohamed Mehanna
Department of Physiology, Al-Azhar University, Egypt
Dr. Jitendra Bhosale
School of Medicine, Creighton University, NE, USA