• Computational toxicology
• Systems biology
• QSAR and read-across approaches
• Machine learning and neural networks
• Data science
• Python

ONTOX is a European project aiming to provide a strategy for developing innovative new approach methodologies (NAMs) to predict systemic repeated dose toxicity effects, which can improve the human risk assessment when combined with personalized exposure assessment. The initiative focuses on predicting toxicity for six particular conditions: (i) neural tube closure defects, (ii) cognitive function defects, (iii) liver steatosis, (iv) cholestasis, (v) renal tubular necrosis, and (vi) crystallopathy. Within ONTOX, our Biomech team is responsible for producing physiological maps for the different case studies, which serve as a foundation for the development and refinement of adverse outcome pathways (AOPs), improvement of in vitro test batteries, and computational models for toxicity prediction. From these physiological maps, our team will also drive the creation of chemical-induced disease ontologies, by adding several layers of information such as pathological, toxicological, chemical and kinetic data. More information can be found on the project webpage: https://ontox-project.eu/.

• Degree in Pharmaceutical Biotechnology and Bioinformatics, University of Milan, Italy
• PhD in Biochemical Sciences, University of Milan, Italy
• Researcher at Mario Negri Institute for Pharmacological Research, Milan, Italy

List of publications

Alessio Gamba PhD
Biomechanics Research Unit
GIGA in silico Medicine, University of Liège
Avenue de l’Hôpital 11, 4000 Liège, Belgium

ResearchGate