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(Ongoing Project) Uses CDC data to map the burden of Chronic Obstructive Pulmonary Disorder (COPD) and uses machine learning to determine health factors that may be related to likelihood of its development..
The COPD doctor is a machine learning pipeline that detects whether a patient has gotten COPD by analyzing the input textual descriptions from the patient.
Lung image analysis pipeline for topological PRM maps
Image Registration on Chest CT Volumes
MDPD - Microbiome Database of Pulmonary Diseases
Registration of image sets and reference data of inspiratory and expiatory breath-hold CT image pairs acquired from the National Heart Lung Blood Institute COPDgene study archive. This project was developed for a course titled "Medical Image Registration and Applications" - MIRA under MAIA master program.
De novo discovery of traits co-occurring with chronic obstructive pulmonary disease.
Predicting Hospital Anxiety and Depression in Chronic Obstructive Pulmonary Disease Patients
Colocalization analysis of Meconium Ileus Genome-Wide Association Study (GWAS) (Gong et al., 2019) signal around SLC26A9 with spirometry association analysis in the UK Biobank and Spirometa Consortium (Shrine et., 2019) around the same region to elucidate whether there is a shared genetic contribution to disease