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Engineering Protease Activity Sensors and Machine Learning Methods to Detect and Characterize Disease
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Engineering Protease Activity Sensors and Machine Learning Methods to Detect and Characterize Disease. |
| 개인저자 | Soleimany, Ava Pardis. |
| 단체저자명 | Harvard University. Biophysics. |
| 발행사항 | [S.l.]: Harvard University., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 262 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-02B. Dissertation Abstract International |
| ISBN | 9798534671858 |
| 학위논문주기 | Thesis (Ph.D.)--Harvard University, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Advisor: Bhatia, Sangeeta N. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Biophysics. Bioengineering. Nanotechnology. Artificial intelligence. Research. Scientists. Deep learning. Nanoparticles. Disease. Prostate cancer. Optimization. Labeling. Urine. Peptides. Localization. Active learning. Lung cancer. Sensors. Particle size. Tumors. Biodistribution. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
