Continuous Learning Series
Continuous learning is an essential part of scientific research. As computational biology and systems pharmacology continue to evolve, keeping pace with new methodologies and emerging challenges is key to developing innovative research approaches.
Recently, Elena Righetti (Researcher), together with Martina Chiesa, Marco Bozza, and Elisa Pettinà (PhD Students), attended the PhD-level course “Understanding and Modeling Drug Dose-Response Relationships for Drug Development”, organized by CIBIO – Department of Cellular, Computational and Integrative Biology at the University of Trento and taught by Luca Gerosa from Genentech.
The course provided an in-depth overview of the biological mechanisms underlying drug dose-response relationships, exploring how target engagement, cellular responses, and therapeutic outcomes are interconnected throughout the drug development process. Participants also examined computational methods for analysing dose-response data, mechanistic modelling approaches, the biological basis of drug resistance, and the use of biomarkers to support precision medicine.
The programme concluded with a group presentation of a scientific paper, encouraging participants to critically evaluate current literature and apply the concepts discussed during the course in a collaborative setting.
Training initiatives like this play an important role in strengthening the expertise of COSBI researchers, fostering interdisciplinary thinking, and encouraging the adoption of new computational approaches that can be translated into ongoing research projects.
Investing in people means investing in better science. By supporting continuous professional development, we aim to provide our researchers with the knowledge and tools needed to address increasingly complex biomedical challenges and contribute to the advancement of computational biology and systems pharmacology.
We congratulate Elena, Martina, Marco, and Elisa on successfully completing the course and look forward to seeing how the knowledge gained will contribute to future research activities.
