Advancing current understanding on the clinical impact of HIV-1 subtype C diversity
There is still no cure for HIV infection and the extensive viral genetic diversity represents the one of the biggest obstacles to develop an effective therapy…
Ana Santos-Pereira was born in Braga in 1991. She completed both her Bachelor’s degree in Applied Biology and her Master’s degree in Molecular Genetics at the University of Minho. She recently obtained her PhD in Ageing and Chronic Diseases, also from the University of Minho, with a research project focused on the evolution, genetic diversity, and drug resistance mutations of HIV-1 using bioinformatics tools. Currently, Ana is a postdoctoral researcher at the University of Minho, continuing her investigation into the mechanisms of infection and epidemic evolution of HIV-1 and other pathogens. Through her work, she aims to contribute to public health and generate positive societal impacts, applying her expertise in molecular biology, virology, and computational analysis to address current biomedical challenges.
Ana Santos-Pereira was born in Braga in 1991. She completed both her Bachelor’s degree in Applied Biology and her Master’s degree in Molecular Genetics at the University of Minho. She recently obtained her PhD in Ageing and Chronic Diseases, also from the University of Minho, with a research project focused on the evolution, genetic diversity, and drug resistance mutations of HIV-1 using bioinformatics tools. Currently, Ana is a postdoctoral researcher at the University of Minho, continuing her investigation into the mechanisms of infection and epidemic evolution of HIV-1 and other pathogens. Through her work, she aims to contribute to public health and generate positive societal impacts, applying her expertise in molecular biology, virology, and computational analysis to address current biomedical challenges.
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There is still no cure for HIV infection and the extensive viral genetic diversity represents the one of the biggest obstacles to develop an effective therapy…
This project aims to develop a machine learning model to predict malaria treatment failure at the patient level, enabling more personalized and effective care…
Phone: +351 253 604 967
Fax: +351 253 604 809
Email: icvs.sec@med.uminho.pt
Life and Health Sciences
Research Institute (ICVS)
School of Medicine,
University of Minho,
Campus de Gualtar
4710-057 Braga
Portugal
Copyright ©2025 ICVS. All Rights Reserved. Developed by TCIT
Copyright ©2025 ICVS. All Rights Reserved. Developed by TCIT
Life and Health Sciences
Research Institute (ICVS)
School of Medicine,
University of Minho,
Campus de Gualtar
4710-057 Braga
Portugal
Copyright ©2025 ICVS. All Rights Reserved
Life and Health Sciences
Research Institute (ICVS)
School of Medicine,
University of Minho,
Campus de Gualtar
4710-057 Braga
Portugal
