Abstract
Organoids, as a novel in vitro drug screening platform, have received widespread attention due to their relevance to clinical research as they are derived from patient samples. Lung cancer organoids are categorized into two subtypes: EGFR mutation type and EGFR wild type. EGFR mutation lung cancer organoids exhibit better therapeutic effects with tyrosine kinase inhibitors (TKIs), whereas EGFR wild type lung cancer organoids have better responses to chemotherapy drugs. However, the current lack of a microfluidic chip capable of identifying EGFR mutations in lung cancer organoids and testing their drug response poses a challenge. To address this, we have developed a dual-functional chip that streamlines EGFR mutation identification and drug testing in lung cancer organoids. This method not only reduces time and cost but also enhances drug screening efficiency.
| Original language | English |
|---|---|
| Title of host publication | Fuzzy Systems and Data Mining IX - Proceedings of FSDM 2023 |
| Editors | Antonio J. Tallon-Ballesteros, Raquel Beltran-Barba |
| Publisher | IOS Press BV |
| Pages | 925-930 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781643684703 |
| DOIs | |
| Publication status | Published - 12 Dec 2023 |
| Event | 9th International Conference on Fuzzy Systems and Data Mining, FSDM 2023 - Hybrid, Chongqing, China Duration: 10 Nov 2023 → 13 Nov 2023 |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Volume | 378 |
| ISSN (Print) | 0922-6389 |
| ISSN (Electronic) | 1879-8314 |
Conference
| Conference | 9th International Conference on Fuzzy Systems and Data Mining, FSDM 2023 |
|---|---|
| Country/Territory | China |
| City | Hybrid, Chongqing |
| Period | 10/11/23 → 13/11/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- drug response
- microfluidic chip
- organoids
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