Evaluation of disease staging and chemotherapeutic response in non-small cell lung cancer from patient tumor-derived metabolomic data
Objectives Despite extensive effort, the search for clinically-relevant metabolite biomarkers
for early detection, disease monitoring, and outcome prediction in lung cancer remains …
for early detection, disease monitoring, and outcome prediction in lung cancer remains …
Precise prediction of multiple anticancer drug efficacy using multi target regression and support vector regression analysis
GR Brindha, BS Rishiikeshwer, B Santhi… - Computer Methods and …, 2022 - Elsevier
Background and objectives The prediction of multiple drug efficacies using machine
learning prediction techniques based on clinical and molecular attributes of tumors is a new …
learning prediction techniques based on clinical and molecular attributes of tumors is a new …
Evaluation of Lung Cancer Patient Response to First-Line Chemotherapy by Integration of Tumor Core Biopsy Metabolomics with Multiscale Modeling
The standard of care for intermediate (Stage II) and advanced (Stages III and IV) non-small
cell lung cancer (NSCLC) involves chemotherapy with taxane/platinum derivatives, with or …
cell lung cancer (NSCLC) involves chemotherapy with taxane/platinum derivatives, with or …
Unlocking the secrets of metabolomics with Artificial Intelligence: a comprehensive literature review
This comprehensive review synthesizes the wealth of scientific literature pertaining to the
application of Artificial Intelligence (AI) in the field of metabolomics. Over the past decade, AI …
application of Artificial Intelligence (AI) in the field of metabolomics. Over the past decade, AI …