EVENTO
Toward Predictive Computational Models of Breast Cancer Development and Treatment
Tipo de evento: Exame de Qualificação
Cancer is a major public health problem worldwide. Early detection and treatment have proved to be challenging because symptoms often do not appear until later sta-ges of the disease. Various combinations of surgery, chemotherapy, radiation and thermal therapies are used, depending on disease stage, lesion size, number of lesi-ons, surgical accessibility, and drug resistance. The decision is usually made based on a clinicians experience and must be assessed in terms of the treatment impact on the current stage and the overall functional capacity of the patient. In that matter, the use of mathematical models has been increasingly recognized as a valuable tool in cancer research. This project will develop and implement a validated experimental-computational methodology to predict the response of HER2+ breast cancer to neo-adjuvant therapy (NAT) in order to optimize therapeutic efficacy on a patient-specific basis. Toward a reliable model prediction, parameter calibration and validation will be performed using a Bayesian approach. Ultimately, this will lead to the optimal guidance of therapy delivery for an individual patient leading to dramatically improved prognosis and quality of life. BIBLIOGRAFIA: JARRETT ET AL., INCORPORATING DRUG DELIVERY INTO AN IMAGING-DRIVEN, MECHANICS COUPLED REACTION DIF-FUSION MODEL FOR PREDICTING THE RESPONSE OF BREAST CANCER TO NEOADJUVANT CHEMOTHERAPY: THEORY AND PRELIMINARY CLINICAL RESULTS, PHYS. MED. BIOL. 63 (2018) 105015 (15PP) MCKENNA ET AL., PRECISION MEDICINE WITH IMPRECISE THERAPY: COMPUTATIONAL MODELING FOR CHEMO-THERAPY IN BREAST CANCER, TRANSLATIONAL ONCOLOGY (2018) 11, 732742RESENDE ET AL, MODEL SELECTION FOR ASSESSING THE ECACY OF DOXORUBICIN IN CELL LINES OF TRIPLE NEGATIVE BREAST CANCER (TO BE SUBMITTED)
Data Início: 25/10/2018 Hora: 10:00 Data Fim: 25/10/2018 Hora: 12:00
Local: LNCC - Laboratório Nacional de Computação Ciêntifica - Auditorio A
Aluno: Anna Clauidia Mello de Resende - - LNCC
Co-Orientador: Ernesto Augusto Bueno da Fonseca Lima - Oden Institute for Computational Engineering and Sciences -
Orientador: Regina Célia Cerqueira de Almeida - Laboratório Nacional de Computação Científica - LNCC
Participante Banca Examinadora: Helcio Rangel Barreto Orlande - UFRJ - Departamento/Programa de Engenharia Mecânica - POLI/COPPE Jack Baczynski - Laboratório Nacional de Computação Científica - LNCC Michel Iskin da Silveira Costa - Laboratório Nacional de Computação Científica - LNCC
Suplente Banca Examinadora: Álvaro Coutinho - COPPE/UFRJ - COPPE/UFRJ
