Case Study: Natural Language Processing (NLP) with Open Data for Drug Repositioning in Glioblastoma Therapy
- Resource Type
- Conference
- Authors
- Marxer, Curdin; Rolke, Heiko; Alfieri, Alex; Halatsch, Marc-Eric
- Source
- 2023 10th IEEE Swiss Conference on Data Science (SDS) SDS Data Science (SDS), 2023 10th IEEE Swiss Conference on. :9-16 Jun, 2023
- Subject
- Computing and Processing
Engineering Profession
Geoscience
Signal Processing and Analysis
Drugs
Databases
Medical treatment
Data science
Natural language processing
Compounds
Open data
case study
text mining
natural language processing
named entity recognition
drug repurposing
drug repositioning
cancer
glioblastoma
- Language
- ISSN
- 2835-3420
The development and discovery of new drugs is a long, costly and risky endeavour with low rate of success. It is a well-known practice to identify new uses for already existing drugs or known active compounds, referred to as “drug repositioning’’ or “drug repurposing This case study uses NLP techniques and open data sources to explore their potential in identifying drugs for glioblastoma therapy beyond the obvious choices documented in established databases like DrugBank.