Dr. Antonio Steardo, a pharmacologist with international experience and advanced skills in pharmacodynamics, biomarkers, and personalized medicine, supports professionals and companies in developing targeted therapies and evaluating drug effects. With his knowledge of mechanisms of action, PK/PD models, and molecular analysis technologies, he offers specialist consultancy to correctly interpret therapeutic response and integrate biomarkers, pharmacogenomics, and personalized approaches into clinical pathways.
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Receptor pharmacology
Analysis of the mechanisms by which drugs interact with cellular receptors, modulate signaling pathways, and generate therapeutic or undesired effects. Understanding these dynamics is essential for predicting efficacy, selectivity, and potential interactions.
Relationship between pharmacokinetics and pharmacodynamics
Study of the link between drug concentration in the body and biological response. This integration allows for the optimization of dosages, administration intervals, and safety profiles.
PK/PD Modeling
Use of mathematical models to describe and predict the relationship between drug exposure and clinical response. A fundamental tool for defining therapeutic strategies, estimating efficacy, and supporting regulatory decisions.
In vivo and in vitro evaluations
Application of experimental models to understand drug behavior, identify mechanisms of action, evaluate potency, and estimate the translatability of results to humans.
Monitoring drug effects
Quantitative and qualitative measurement of therapeutic response through clinical, biological, and instrumental parameters. Essential for assessing efficacy, safety, and inter-individual variability.<
Biomarkers and surrogate endpoints
Identification and use of predictive, diagnostic, or prognostic biomarkers to accelerate clinical trials, improve patient selection, and monitor response to treatment.
Biobanks and biopsies
Evaluation of the role of biological samples in pharmacodynamic research. Biobanks and biopsies allow for advanced molecular analysis, essential for understanding individual response to drugs.
Pharmacogenomics
Study of genetic variants that influence drug response. Pharmacogenomics enables the personalization of therapies, reduction of adverse effects, and improvement of clinical efficacy.
Advances toward personalized medicine
Analysis of innovations transforming clinical practice: targeted therapies, omics approaches, predictive algorithms, and the integration of biological data for tailored treatments.