Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Yoona Yang"'
Autor:
Mijin Kim, Chen Chen, Peng Wang, Joseph J. Mulvey, Yoona Yang, Christopher Wun, Merav Antman-Passig, Hong-Bin Luo, Sun Cho, Kara Long-Roche, Lakshmi V. Ramanathan, Anand Jagota, Ming Zheng, YuHuang Wang, Daniel A. Heller
Publikováno v:
Nat Biomed Eng
Serum biomarkers are often insufficiently sensitive or specific to facilitate cancer screening or diagnostic testing. In ovarian cancer, the few established serum biomarkers are highly specific, yet insufficiently sensitive to detect early-stage dise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bbceb5504a1e08613fff289dfeedbb3
https://doi.org/10.1038/s41551-022-00860-y
https://doi.org/10.1038/s41551-022-00860-y
Publikováno v:
ACS Nano. 16:4705-4713
The prerequisite of utilizing DNA in sequence-dependent applications is to search specific sequences. Developing a strategy for efficient DNA sequence screening represents a grand challenge due to the countless possibilities of sequence combination.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06fba181d6016759962088a2968c7702
https://doi.org/10.1021/acsnano.1c11448
https://doi.org/10.1021/acsnano.1c11448
Autor:
Florian Raths, Mehran Karimzadeh, Nathan Ing, Andrew Martinez, Yoona Yang, Ying Qu, Tian-Yu Lee, Brianna Mulligan, Suzanne Devkota, Wayne T. Tilley, Theresa E. Hickey, Bo Wang, Armando E. Giuliano, Shikha Bose, Hani Goodarzi, Edward C. Ray, Xiaojiang Cui, Simon R.V. Knott
Publikováno v:
Cell Genomics. 3:100272
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c08a8f5914715e8e7e7ee5db0e279e9f
https://doi.org/10.1016/j.xgen.2023.100272
https://doi.org/10.1016/j.xgen.2023.100272
Publikováno v:
The Journal of Physical Chemistry C. 124:9045-9055
DNA/single-wall carbon nanotube (SWCNT) hybrids have attracted significant interest due to their ability for SWCNT separation and their use as promising agents in biosensing and bioimaging applicat...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09f5ff8643b18d8ceda512ccb09ecf23
https://doi.org/10.1021/acs.jpcc.0c00679
https://doi.org/10.1021/acs.jpcc.0c00679
Publikováno v:
Proposed for presentation at the RAMSES: Reduced order models; Approximation theory; Machine learning; Surrogates, Emulators and Simulators held December 14-17, 2021 in.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e63bb512dc538e8ba3db7ddbab320dd
https://doi.org/10.2172/1903685
https://doi.org/10.2172/1903685
Autor:
Anand Jagota, Alex H. Settle, Winson Cai, Ming Zheng, Douglas A. Levine, Quinlan Cullen, Elana Apfelbaum, Kara Long Roche, Zvi Yaari, Lakshmi V. Ramanathan, Daniel A. Heller, Christian Cupo, Martin Fleisher, Yoona Yang
Publikováno v:
Science Advances
Description
Machine learning–enabled perception-based detection of protein biomarkers was achieved in gynecologic cancer patient biofluids.
Conventional molecular recognition elements, such as antibodies, present issues for developing bio
Machine learning–enabled perception-based detection of protein biomarkers was achieved in gynecologic cancer patient biofluids.
Conventional molecular recognition elements, such as antibodies, present issues for developing bio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c91d7f16d7c4306fd530dece8e3904c
http://europepmc.org/articles/PMC8604403
http://europepmc.org/articles/PMC8604403
Publikováno v:
ECS Meeting Abstracts. :689-689
Uterine and ovarian cancer patients' prognosis and quality of life are significantly affected by the failure to diagnose the disease accurately. Early detection may save more than 80% of women diagnosed with ovarian cancer. Therefore, developing new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea77f720d4497b40b11c98c78e59dbaf
https://doi.org/10.1149/ma2022-018689mtgabs
https://doi.org/10.1149/ma2022-018689mtgabs
Autor:
Daniel A. Heller, Zvi A Yaari, Mijin Kim, Yoona Yang, Chen Chen, Merav Antman-Passig, Peng Wang, YuHuang Wang, Anand Jagota, Ming Zheng
Publikováno v:
ECS Meeting Abstracts. :714-714
Perception-based machine learning platforms, modeled after the complex olfactory system, can isolate individual signals through an array of relatively nonspecific receptors. Each receptor captures certain features, and the overall ensemble response i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a5955ef91989d6b0077334534ffca81
https://doi.org/10.1149/ma2022-019714mtgabs
https://doi.org/10.1149/ma2022-019714mtgabs
Publikováno v:
ECS Meeting Abstracts. :687-687
Single wall carbon nanotube (SWCNT) based biosensors provide opportunities for building an ultra-sensitive biosensing system due to their unique optical properties and strong sensitivity to changes in the local environment. Consequently, much effort
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2ea0948cf933b1a0084a1fcb46b04d4
https://doi.org/10.1149/ma2022-018687mtgabs
https://doi.org/10.1149/ma2022-018687mtgabs