[HTML][HTML] Machine learning based personalized drug response prediction for lung cancer patients
Lung cancers with a mutated epidermal growth factor receptor (EGFR) are a major
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
Machine learning based personalized drug response prediction for lung cancer patients
R Qureshi, SA Basit, JA Shamsi, X Fan… - Scientific …, 2022 - ui.adsabs.harvard.edu
Lung cancers with a mutated epidermal growth factor receptor (EGFR) are a major
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
Machine learning based personalized drug response prediction for lung cancer patients.
R Qureshi, SA Basit, JA Shamsi, X Fan… - Scientific …, 2022 - search.ebscohost.com
Lung cancers with a mutated epidermal growth factor receptor (EGFR) are a major
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
Machine learning based personalized drug response prediction for lung cancer patients
R Qureshi, SA Basit, JA Shamsi, X Fan… - Scientific …, 2022 - pubmed.ncbi.nlm.nih.gov
Lung cancers with a mutated epidermal growth factor receptor (EGFR) are a major
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
Machine learning based personalized drug response prediction for lung cancer patients
R Qureshi, SA Basit, JA Shamsi, X Fan… - Scientific …, 2022 - scholars.cityu.edu.hk
Lung cancers with a mutated epidermal growth factor receptor (EGFR) are a major
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
[PDF][PDF] Machine learning based personalized drug response prediction for lung cancer patients
R Qureshi, SA Basit, JA Shamsi, X Fan… - Scientific …, 2022 - researchgate.net
Results In this work, we have developed a drug-response predictive model for lung cancer
patients. Demographic and clinical information, such as age, gender, survival time, smoking …
patients. Demographic and clinical information, such as age, gender, survival time, smoking …
[HTML][HTML] Machine learning based personalized drug response prediction for lung cancer patients
R Qureshi, SA Basit, JA Shamsi, X Fan, M Nawaz… - Scientific …, 2022 - ncbi.nlm.nih.gov
Lung cancers with a mutated epidermal growth factor receptor (EGFR) are a major
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
Machine learning based personalized drug response prediction for lung cancer patients.
R Qureshi, SA Basit, JA Shamsi, X Fan, M Nawaz… - Scientific …, 2022 - europepmc.org
Lung cancers with a mutated epidermal growth factor receptor (EGFR) are a major
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …
[引用][C] Machine learning based personalized drug response prediction for lung cancer patients
R Qureshi, SA Basit, JA Shamsi, X Fan… - Scientific …, 2022 - scholars.cityu.edu.hk
Machine learning based personalized drug response prediction for lung cancer patients - CityU
Scholars | A Research Hub of Excellence Researcher login City University of Hong Kong City …
Scholars | A Research Hub of Excellence Researcher login City University of Hong Kong City …