AIMC Topic: Drug Resistance, Neoplasm

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Learning approaches to improve prediction of drug sensitivity in breast cancer patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Predicting drug response to cancer disease is an important problem in modern clinical oncology that attracted increasing recent attention from various domains such as computational biology, machine learning, and data mining. Cancer patients respond d...
Humans Algorithms Female Breast Neoplasms Cell Line, Tumor Computational Biology Models, Theoretical Data Mining Drug Resistance, Neoplasm Linear Models
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A chemotherapy response classifier based on support vector machines for high-grade serous ovarian carcinoma.

Oncotarget Jan 19, 2016
Long-term outcome of high-grade serous epithelial ovarian carcinoma (HGSOC) remains poor as a result of recurrence and the emergence of drug resistance. Almost all the patients were given the same platinum-based chemotherapy after debulking surgery e...
Humans Decision Support Techniques Female Middle Aged Antineoplastic Agents Cohort Studies Support Vector Machine Ovarian Neoplasms Neoplasm Recurrence, Local Disease-Free Survival Carcinoma, Ovarian Epithelial Drug Resistance, Neoplasm Neoplasms, Glandular and Epithelial Response Evaluation Criteria in Solid Tumors
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