Project: 2024.18026.PEX

Project name:	PINPOINT - PINPOINT: Leveraging Real-World Data, Modeling, and Simulation to Enhance Personalized Medicine in Clinical Practice
Project code:	2024.18026.PEX
Proposing institution/Lead promoter/Coordinating entity:	Faculdade de Medicina da Universidade do Porto
Partner(s)/Co-promoter(s)/Participating institution(s):	Centro Hospitalar Universitário São João; Virtualcare, Lda
Date of approval:	2025-11-24
Start date:	2026-01-01
Completion date:	2027-06-30

Eligible Cost of the Project

Total Eligible Cost:

59.951,90 EUR

Objectives, activities and expected/achieved results

This project aims to develop innovative, clinically relevant pharmacokinetic (PK) models and tools to optimize antidepressant use during pregnancy. Understanding how medications affect both maternal and fetal health is increasingly critical, and this research will provide key insights to better tailor pharmaceutical care for pregnant women. By refining dosing strategies, it has the potential to minimize adverse pregnancy outcomes associated with antidepressant use.

The project integrates multiple methodologies, combining retrospective data analysis, opportunistic sampling, pharmacokinetic modeling, and the development of a decision-support system. This project counts with the expertise of Principal Investigator Professor Nuno Vale, an authority in in silico modeling, ensures strong technical leadership. Tiago Costa and Dr. Marina Moucho bring essential expertise in health information systems and clinical data analysis, facilitating the seamless integration of predictive modeling into clinical workflows. Collaborating with researchers from CINTESIS, Hospital São João, and VirtualCare, the team brings together diverse expertise in pharmacokinetics, clinical data collection, and software
development, reinforcing the project's scientific rigor and practical feasibility.

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