GHTM

Global Health and Tropical Medicine

  • GHTM
    • About GHTM
    • Governance
    • Impact
    • Members
    • Scientific Advisory Board
    • Reports
      • GHTM
  • Research
    • Cross-cutting issues
      • Antimicrobial Resistance and Drug Discovery
      • Host–Pathogen Interactions
      • Genomic Surveillance and Population Mobility
      • Implementation and Translational Research
      • Information for Health Development
      • Fair Research Partnerships
    • Research Groups
      • PPS – Population health, policies and services
      • PRIME – Pathogen resistance, infection and molecular epidemiology
      • VBD – Vector borne diseases
      • CTM – Clinical tropical medicine
    • Research in numbers
    • Projects
      • Ongoing Projects
      • Completed Projects
  • Outreach
    • Events
    • News
    • Policy Support & Community Outreach
  • Publications
    • 2024
    • 2023
    • 2022
    • 2021
    • 2020
    • 2019
    • 2018
    • 2017
    • 2016
    • 2015
  • Capacity Building
    • Education
      • Master Theses
      • PhD Theses
    • International
  • Infrastructures
    • BIOHUB & Available Software
    • BIOTROP Biobank
    • VIASEF & Insectaries
  • Networks & Partnerships
Home / Events / GHTM Sessions | Celebrating New Research Journeys

GHTM Sessions | Celebrating New Research Journeys

November 7, 2025

📅 Date: 12 November 2025
🕒 Time: 11:00-13:00
📍 Location: ZOOM & Sala Fraga de Azevedo | IHMT-NOVA

As part of the GHTM Series of Sessions “Celebrating New Research Journeys”, this session will highlight the scientific trajectories and current research focus areas of two of our newly appointed Tenure Researchers at GHTM | IHMT NOVA, showcasing their contributions to advancing vector-borne disease research.

Sandra Antunes (VBD-GHTM) will introduce her research on decoding the molecular mechanisms governing interactions between ticks, transmitted pathogens and vertebrate hosts. By integrating omics data with functional approaches, her work aims to identify key molecules and pathways that drive parasite transmission and vector competence — supporting the discovery of new vaccine targets and innovative, sustainable strategies to prevent tick-borne diseases within a One Health framework.

Gustavo Capatti Cassiano (VBD-GHTM) will present his research on the application of machine learning to accelerate antimalarial drug discovery. His work focuses on multistage activity prediction and the functional validation of promising compounds, aiming to shorten the path from molecule identification to potential therapeutic impact.

Join us to learn more about these research journeys and how they contribute to advancing GHTM’s mission in global health research, innovation and capacity building.

[/su_spoiler]

If you are a GHTM member, you will receive the details of the session by e-mail. If you are not a GHTM member and would like to join the session, please contact us at ghtm-info@ihmt.unl.pt.

 

Share this:

  • Share on Facebook (Opens in new window) Facebook
  • Share on X (Opens in new window) X
  • Share on LinkedIn (Opens in new window) LinkedIn
  • Share on Pinterest (Opens in new window) Pinterest
  • Share on WhatsApp (Opens in new window) WhatsApp
  • Print (Opens in new window) Print

About GHTM

GHTM is a R&D Unit that brings together researchers with a track record in Tropical Medicine and International & Global Health. It aims at strengthening Portugal's role as a leading partner in the development and implementation of a global health research agenda. Our evidence-based interventions contribute to the promotion of equity in health and to improve the health of populations.

Contacts

Rua da Junqueira, 100
1349-008 Lisboa
Portugal

+351 213 652 600

  • Email
  • Facebook
  • LinkedIn
  • Twitter
  • YouTube

Funding

UID/04413/2025 - DOI: 10.54499/UID/04413/2025

UID/PRR/04413/2025 - DOI: 10.54499/UID/PRR/04413/2025

UID/PRR2/04413/2025 - DOI: 10.54499/UID/PRR2/04413/2025

  • Events
  • Research Groups
  • Cross-cutting issues
© Copyright 2026 IHMT-UNL All Rights Reserved.
  • Universidade Nova de Lisboa
  • Fundação para a Ciência e a Tecnologia

    UIDB/04413/2020
    UIDP/04413/2020

Loading Comments...

    We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.