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Author

M. Chorilli

4 papers indexed here

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Open access Oct 2026

Antifungal Activity and Safety of Physalis angulata Extract, Its Fraction, and Their Nanoemulsions as Candidate Cosmetic Ingredients: A Preliminary In Vitro Study

Physalis angulata L. is a source of lipophilic bioactive metabolites of interest for cosmetic research, but the antifungal behavior of its fractions in nanoemulsions remains poorly characterized. This study evaluated the antioxidant, antifungal, irritant, and cytotoxic activity of a chloroform extract (E) and a hexane–...

C. C. B. Medeiros, R. Sorrechia, Maria Leonor Beneli Donadon et al. · 0 citations
Open access Oct 2026

Erythrosine–Iron Oxide Nanoemulsions Combining Photodynamic Therapy with Ferroptosis-Mediated Cytotoxicity in Prostate Cancer

Prostate cancer remains one of the leading causes of cancer-related death among men worldwide. Photodynamic therapy (PDT) has emerged as a promising strategy to enhance conventional treatments, yet its efficacy is often limited by poor solubility, instability, and a lack of targeting of photosensitizers. Here, we rep...

Matheus Liberato Ferreira, G. Fortunato, R. D. Piazza et al. · 0 citations
Review Open access Sep 2026

Exosome-Based Drug Delivery Systems in Colorectal Cancer: Current Evidence and Future Perspectives

Colorectal cancer (CRC) is one of the most common malignant neoplasms worldwide, being the third most frequently diagnosed cancer and the second leading cause of death. Due to the high incidence of CRC cases, its biological complexity, and high morbidity and mortality, the development of more effective and less aggress...

Lucas Henrique Domingos da Silva, J. Floriano, M. Chorilli · 0 citations
Review Open access Sep 2026

Insights into the use of artificial intelligence in the drug discovery and delivery of nanosystems for the treatment of infectious diseases and neoplasms.

The convergence of AI and nanotechnology is revolutionizing healthcare by providing more accurate diagnostics, tailored treatments, and improved safety evaluations, and AI-driven models enhance drug discovery, optimize delivery systems, and strengthen toxicological assessments.

Vinicius Martinho Borges Cardoso, Camila Rodrigues Santana, Giovanna Justino Momente et al. · 0 citations

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