Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Luis R. Soenksen"'
Autor:
Luis R. Soenksen, Yu Ma, Cynthia Zeng, Leonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael L. Li, Ignacio Fuentes, Dimitris Bertsimas
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-10 (2022)
Abstract Artificial intelligence (AI) systems hold great promise to improve healthcare over the next decades. Specifically, AI systems leveraging multiple data sources and input modalities are poised to become a viable method to deliver more accurate
Externí odkaz:
https://doaj.org/article/91c19803958b4ae5898879df18ad8bec
Autor:
Nicolaas M. Angenent-Mari, Alexander S. Garruss, Luis R. Soenksen, George Church, James J. Collins
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
RNA can be used as a programmable tool for detection of biological analytes. Here the authors use deep neural networks to predict toehold switch functionality in synthetic biology applications.
Externí odkaz:
https://doaj.org/article/286bc1fe8dc44d1d82f15d89d4596e2e
Autor:
Timothy Kassis, Paola M. Perez, Chloe J.W. Yang, Luis R. Soenksen, David L. Trumper, Linda G. Griffith
Publikováno v:
HardwareX, Vol 4, Iss , Pp - (2018)
With the rise of research utilizing microphysiological systems (MPSs), the need for tools that enable the physiological mimicking of the relevant cellular environment is vital. The limited ability to reproduce crucial features of the microenvironment
Externí odkaz:
https://doaj.org/article/e63c7cd5786b4ab6a3018b892eaf3d48
Autor:
James J. Collins, James B. Niemi, Shimyn Slomovic, Tommaso Galbersanini, Hani M. Sallum, Nicolaas M. Angenent-Mari, Ally Huang, Rose A. Lee, Geoffrey Lansberry, Helena de Puig, Luis R. Soenksen, Peter Q. Nguyen, Nina M. Donghia, Evan M. Zhao
Publikováno v:
Nature Biotechnology. 39:1366-1374
Integrating synthetic biology into wearables could expand opportunities for noninvasive monitoring of physiological status, disease states and exposure to pathogens or toxins. However, the operation of synthetic circuits generally requires the presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c947e1928fa2013740b293c6461ea61
https://doi.org/10.1038/s41587-021-00950-3
https://doi.org/10.1038/s41587-021-00950-3
Autor:
Alexander S. Garruss, James J. Collins, Nicolaas M. Angenent-Mari, George M. Church, Luis R. Soenksen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Nature Communications
Nature Communications
Engineered RNA elements are programmable tools capable of detecting small molecules, proteins, and nucleic acids. Predicting the behavior of these synthetic biology components remains a challenge, a situation that could be addressed through enhanced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::976e244c254ebb55076d3672411e3db7
http://link.springer.com/article/10.1038/s41467-020-18677-1
http://link.springer.com/article/10.1038/s41467-020-18677-1
Autor:
Raphael V. Gayet, Luis R. Soenksen, Peter Q. Nguyen, Max A English, Helena de Puig, James J. Collins, Angelo S. Mao, Nicolaas M. Angenent-Mari
Publikováno v:
Nature Protocols. 15:3030-3063
Materials that sense and respond to biological signals in their environment have a broad range of potential applications in drug delivery, medical devices and diagnostics. Nucleic acids are important biological cues that encode information about orga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1d0c7ed183c83a31dd0e43817236594
https://doi.org/10.1038/s41596-020-0367-8
https://doi.org/10.1038/s41596-020-0367-8
Autor:
Max A English, Helena de Puig, Angelo S. Mao, Luis R. Soenksen, Nicolaas M. Angenent-Mari, James J. Collins, Raphael V. Gayet, Peter Q. Nguyen
Publikováno v:
Prof. Collins via Howard Silver
Stimuli-responsive materials activated by biological signals play an increasingly important role in biotechnology applications. We exploit the programmability of CRISPR-associated nucleases to actuate hydrogels containing DNA as a structural element
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65d069f73f4301124b437a3915a67b8f
https://doi.org/10.1126/science.aaw5122
https://doi.org/10.1126/science.aaw5122
Autor:
Caleb Harris, Omar Badri, Matthew Groh, Arash Koochek, Felix Lau, Rachel Han, Luis R. Soenksen, Aerin Kim
Publikováno v:
CVPR Workshops
How does the accuracy of deep neural network models trained to classify clinical images of skin conditions vary across skin color? While recent studies demonstrate computer vision models can serve as a useful decision support tool in healthcare and p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f63bf9c274b9d19110caff78cf4d1da2
http://arxiv.org/abs/2104.09957
http://arxiv.org/abs/2104.09957
Autor:
Alexander S. Garruss, Luis R. Soenksen, Nicolaas M. Angenent-Mari, James J. Collins, George M. Church
Engineered RNA elements are programmable tools capable of detecting small molecules, proteins, and nucleic acids. Predicting the behavior of these tools remains a challenge, a situation that could be addressed through enhanced pattern recognition fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3c1fbe517aedbb0ea4090f395801550
https://doi.org/10.1101/872077
https://doi.org/10.1101/872077