Artificial Intelligence in Drug Discovery, Pharmaceutical Processes, and Drug Delivery
A special issue of Pharmaceutics (ISSN 1999-4923). This special issue belongs to the section "Pharmaceutical Technology, Manufacturing and Devices".
Deadline for manuscript submissions: 10 June 2026 | Viewed by 1243
Special Issue Editors
Interests: drug delivery systems; CNS drug delivery; neurodegenerative disorders
Special Issues, Collections and Topics in MDPI journals
Interests: drug delivery; peptide drugs; neurodegenerative disorders; antimicrobial drug development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of Artificial Intelligence (AI) into pharmaceutical sciences is transforming the way therapeutics are discovered, developed, and delivered. AI-driven strategies are accelerating drug discovery through predictive modeling, molecular design, target identification, and data-guided optimization of candidate compounds. In pharmaceutical processes, machine learning and advanced analytics are enhancing manufacturing efficiency, improving quality control, and supporting real-time decision-making within complex production workflows. At the same time, AI is redefining drug delivery by enabling intelligent formulation design, personalized delivery systems, and optimized routes of administration based on patient-specific parameters.
This Special Issue invites original research articles, reviews that highlight cutting-edge advancements and practical applications of AI across the entire pharmaceutical pipeline. Contributions exploring computational methodologies, experimental validation, translational approaches, regulatory considerations, and ethical implications are especially encouraged. The objective is to provide an interdisciplinary platform showcasing the emerging potential of AI to reshape modern pharmaceutics and improve therapeutic outcomes.
We look forward to receiving your contributions.
Dr. Lisa Marinelli
Dr. Ivana Cacciatore
Guest Editors
Manuscript Submission Information
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Keywords
- Artificial Intelligence
- machine learning
- deep learning
- drug discovery
- computational drug design
- pharmaceutical process development
- predictive modeling
- drug delivery systems
- personalized medicine
- formulation optimization
- Quality-by-Design (QbD)
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