Marcos Vinícius Lemes Toquetao

@usp.br

of the Computer Systems Biology Laboratoty at University of São Paulo, Brazil
Faculty of Medicine of Univeristy of Sao Paulo

Bachelor in Molecular Sciences from the University of São Paulo. During his undergraduate studies, he conducted undergraduate research at the Medical Investigation Laboratory 60 of the University of São Paulo School of Medicine, under the supervision of Esper Georges Kallás and Cássia Gisele Terrassani Silveira. He developed and participated in several projects in the fields of immunology and virology, focusing on HIV, SARS-CoV-2, and aging. He has a strong interest in immune responses to viruses and bioinformatics applied to these topics.

EDUCATION

Bachelor in Molecular Sciences Course at the University of São Paulo

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Vision and Pattern Recognition, Oncology, Immunology

FUTURE PROJECTS

Prediction of regulated cell death pathways in colorectal cancer from histological images using supervised deep learning with spatial transcriptomics.

Colorectal cancer is among the malignancies with the highest global incidence, accompanied by a high mortality rate. This highlights the importance of new research and the development of technologies capable of controlling tumor progression and enabling better patient prognoses. Among emerging approaches to capture information on tumor activity is the assessment of the predominant type of cell death within tumor tissue. Recent studies have found a strong relationship between how cells in the tumor microenvironment die and tumor proliferation, as well as immune privilege in the context of the antitumor immune response. This makes cell death pathways one of the most promising therapeutic targets in oncology. Traditionally, information on the predominant type of cell death in tissue is obtained either through pathologist annotations on H&E-stained slides—whose interobserver variability has been demonstrated in multiple studies—or through immunohistochemistry assays, which are more costly


Applications Invited