Biomarker discovery in cancer transcriptomic data using network-based regularization
Por Marta Belchior Lopes (Center for Mathematics and Applications - CMA, FCT NOVA / NOVA Laboratory for Computer Science and Informatics - NOVA LINCS, FCT NOVA).
Cancro
Improving radiobiological knowledge towards personalized radiation therapy
Seminário do Departamento de Física de Ciências ULisboa, por Brígida da Costa Ferreira (IBEB & DF - Ciências ULisboa).
Developing integrated and interpretable models for prostate cancer radiomics
Ten Minutes Talk with the PhD students in Informatics, com Nuno Rodrigues (LASIGE, DI-FCUL).
Ibuprofen disrupts a WNK1/GSK3β/SRPK1 protein complex required for expression of tumor-related splicing variant RAC1B in colorectal cells
BioISI Research Seminar, por Vânia Gonçalves (GER, BioISI/INSA).
Prova de Mestrado "Blood-brain barrier: role in brain metastasization of breast cancer"
Ana Rita da Costa Garcia defende a dissertação "Blood-brain barrier: role in brain metastasization of breast cancer".
Prova de Mestrado "Breast cancer brain metastasization: new players and potential biomarkers"
Sofia Raquel Néné Galego defende a dissertação "Breast cancer brain metastasization: new players and potential biomarkers".
Population-based cancer survival analysis - net survival estimation and excess hazard modelling
Por Luís Antunes (Instituto Português de Oncologia do Porto).
Extensions of the Cox model to analyse multiple time-to-event data
Por Ivo Sousa-Ferreira (Faculdade de Ciências da Universidade de Lisboa).
Abstract: In longitudinal studies, it is very usual that a subject can experience several events, which can result from the occurrence of multiple-type events or the repetition of a single-type event (known as recurrent events). This kind of data arises in a wide variety of settings such as in biomedical studies on relapses of a certain disease.
Predição dinâmica da sobrevivência a longo prazo de doentes com cancro da mama
Por Ana Sofia Azevedo (Faculdade de Ciências da Universidade de Lisboa).
Projecting cancer evidence and mortality using bayesian age-period-cohort models
Por Saghir Bashir (Centro de Estatística e Aplicações da Universidade de Lisboa).