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Multi-Omics Analysis for Predicting Response and Adverse Events to Neoadjuvant Treatment in Re-sectable NSCLC
Stalidzāns, Egils
(Partner's coordinator)
Prof. Egils Stalidzāns Group. Computational Systems Biology
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Medicine and Dentistry
Neoadjuvant Therapy
100%
Non Small Cell Lung Cancer
100%
Multi-Omics
100%
Neoplasm
50%
Biological Marker
50%
Long Term Survival
16%
Nutritional Status
16%
Clinical Decision Making
16%
Immunotherapy
16%
Patient Selection
16%
Combination Therapy
16%
Patient Experience
16%
Recurrence Risk
16%
Pharmacology, Toxicology and Pharmaceutical Science
Non Small Cell Lung Cancer
100%
Biological Marker
100%
Neoplasm
100%
Immunotherapy
33%
Combination Therapy
33%
Recurrence Risk
33%
Long Term Survival
33%
Biochemistry, Genetics and Molecular Biology
Tumor Volume
100%
Long Term Survival
100%
Clinical Decision Making
100%