컨텐츠 시작
학술대회/행사
초록검색
| 제출번호(No.) | 0245 |
|---|---|
| 분류(Section) | Poster Session |
| 분과(Session) | (AM) Applied Mathematics(including AI, Data Science) (AM) |
| 발표시간(Time) | 19th-B-14:00 -- 14:30 |
| 영문제목 (Title(Eng.)) |
Modeling anticancer treatment response prediction considering tumor heterogeneity using pharmacokinetic/pharmacodynamic mathematical models |
| 저자(Author(s)) |
Yunil Roh1, Il Hyo Jung1 Pusan National University1 |
| 초록본문(Abstract) | Recent advancements in cancer therapeutics have led to improved treatment outcomes, yet challenges persist due to tumor heterogeneity, influencing individual responses to therapy. In this presentation, we introduce pharmacokinetic/pharmacodynamic mathematical models to simulate tumor heterogeneity effects in anticancer treatment response prediction. By integrating stochastic agent-based models and reaction-diffusion equations, our proposed approach offers a comprehensive representation of tumor growth dynamics and drug distribution within heterogeneous tumor microenvironments. Through this modeling framework, we aim to enhance our understanding of personalized treatment responses and facilitate the development of more effective cancer therapies. |
| 분류기호 (MSC number(s)) |
92-10 |
| 키워드(Keyword(s)) | Pharmacokinetics/pharmacodynamics, tumor heterogeneity |
| 강연 형태 (Language of Session (Talk)) |
Korean |