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I very recently lost my amazing Mom to Pancreatic Cancer and this repository shares my story. I also will be writing stories about her and daily journal entries on how I'm feeling after the painful loss.
Day by Day is a simple, privacy-first chemotherapy cycle tracking app that helps patients manage medications, monitor symptoms, and make sense of treatment progress across each cycle.
Our mission is to help make cancer topics and information easier to understand by translating complex medical topics into clear, accurate, and family friendly explanations.
A biologically motivated mathematical formalism is used to estimate the relative risks of breast, lung and thyroid cancers in childhood cancer survivors due to concurrent therapy regimen. This model specifically includes possible organ-specific interaction between radiotherapy and chemotherapy. The model predicts relative risks for developing se…
Machine learning models to predict cancer recurrence in patients after chemotherapy treatment. Uses Random Forest, XGBoost and Neural Networks on clinical data.
ChemoTrace is a clinical simulation platform for modeling Hodgkin's Lymphoma therapy using C++17. It features patient-specific dosing, risk-adapted regimen selection, and dynamic adjustments based on toxicity and response, all within a modular, object-oriented framework.
We employed a biologically motivated mathematical model to estimate the radiation and chemotherapy-induced relative risks of thyroid malignancies in four childhood cancer study survivors (CCSS) data sets. the predictions of radiation and chemotherapy-induced relative risks of secondary thyroid malignancies using the mathematical model are compar…
Research paper on tumors covering causes, types, symptoms, diagnosis, treatments, tumor removal procedures, and complementary care with evidence-based oncology focus.
A repository that contains all the code for the interactive Shiny app of the models developed in our work on predicting response to neoadjuvant treatment.