Guest Editors
Assist. Prof. Dr. Marwa Balaha
Email: marwa.balaha@unich.it
Affiliation: 1. Pharmaceutical Chemistry Department, Faculty of Pharmacy, Kafrelsheikh University, Kafr El-Sheikh Governorate, 6860404, Egypt
2. Department of Pharmacy, "G. d'Annunzio" University of Chieti-Pescara, via dei Vestini 31, Chieti, 66100, Italy
Homepage:
Research Interests: Anti-cancer drug design and optimization through the integration of computational and experimental approaches
Investigation of the molecular and cellular mechanisms underlying cancer treatment responses
Prof. Dr. Barbara de Filippis
Email: barbara.defilippis@unich.it
Affiliation: Department of Pharmacy, "G. d'Annunzio" University of Chieti-Pescara, via dei Vestini 31, Chieti, 66100, Italy
Homepage:
Research Interests: Synthesis of derivatives of natural compounds with multiple anticancer activity as aromatase inhibition
Summary
This Special Issue aims to highlight recent and emerging advancements in cancer research, with a focus on innovative therapeutic strategies and the integration of artificial intelligence (AI) in oncology. We welcome contributions that explore novel targeted therapies, natural compound-based interventions, and advanced drug delivery systems designed to improve treatment efficacy while reducing toxicity. Particular emphasis will be placed on studies that address critical challenges in cancer therapy, including drug resistance, tumor heterogeneity, metastasis, tumor microenvironment dynamics, immune system interactions, cancer stem cells, treatment-related toxicity, and the lack of predictive preclinical models. Contributions identifying novel biomarkers for early detection, prognosis, and personalized therapy are also highly encouraged. A defining feature of this issue will be the exploration of AI and in silico modeling in drug discovery, predictive toxicology, and precision medicine, offering new insights into computational tools that enhance clinical decision-making and accelerate the development of effective anticancer agents. We welcome studies employing in vitro, in vivo, in silico, and clinical methodologies, especially those that bridge preclinical insights with translational applications and unravel the molecular mechanisms underlying therapeutic responses.
Keywords
cancer therapeutics; targeted therapy; natural compounds; drug delivery; drug design; drug discovery; chemotherapy resistance; artificial intelligence; translational oncology
Login
Register
Submit a Paper
Propose a Special lssue