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Luis R Soenksen

Showing results (1-10 of 11) with videos related to

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Nature Communications|October 8, 2020
A deep learning approach to programmable RNA switchesNicolaas M Angenent-Mari, Alexander S Garruss, Luis R Soenksen, et al.
Computer Methods and Programs in Biomedicine|July 12, 2020
Computer-aided classification of suspicious pigmented lesions using wide-field imagesJudith S Birkenfeld, Jason M Tucker-Schwartz, Luis R Soenksen, et al.
Nature Medicine|February 5, 2024
Deep learning-aided decision support for diagnosis of skin disease across skin tonesMatthew Groh, Omar Badri, Roxana Daneshjou, et al.
NPJ Digital Medicine|September 20, 2022
Integrated multimodal artificial intelligence framework for healthcare applicationsLuis R Soenksen, Yu Ma, Cynthia Zeng, et al.
Nature Protocols|August 19, 2020
Creating CRISPR-responsive smart materials for diagnostics and programmable cargo releaseRaphael V Gayet, Helena de Puig, Max A English, et al.
Science (New York, N.Y.)|August 24, 2019
Programmable CRISPR-responsive smart materialsMax A English, Luis R Soenksen, Raphael V Gayet, et al.
Cell Systems|June 22, 2023
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequencesJacqueline A Valeri, Luis R Soenksen, Katherine M Collins, et al.
Archives of Medical Research|July 31, 2015
Efficacy and safety evaluation of systemic extremely low frequency magnetic fields used in the healing of diabetic foot ulcers--phase II dataLuis Cañedo-Dorantes, Luis R Soenksen, Clara García-Sánchez, et al.
Nature Biotechnology|June 29, 2021
Wearable materials with embedded synthetic biology sensors for biomolecule detectionPeter Q Nguyen, Luis R Soenksen, Nina M Donghia, et al.
Science Translational Medicine|February 18, 2021
Using deep learning for dermatologist-level detection of suspicious pigmented skin lesions from wide-field imagesLuis R Soenksen, Timothy Kassis, Susan T Conover, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Nature Communications|October 8, 2020
A deep learning approach to programmable RNA switchesNicolaas M Angenent-Mari, Alexander S Garruss, Luis R Soenksen, et al.
Computer Methods and Programs in Biomedicine|July 12, 2020
Computer-aided classification of suspicious pigmented lesions using wide-field imagesJudith S Birkenfeld, Jason M Tucker-Schwartz, Luis R Soenksen, et al.
Nature Medicine|February 5, 2024
Deep learning-aided decision support for diagnosis of skin disease across skin tonesMatthew Groh, Omar Badri, Roxana Daneshjou, et al.
NPJ Digital Medicine|September 20, 2022
Integrated multimodal artificial intelligence framework for healthcare applicationsLuis R Soenksen, Yu Ma, Cynthia Zeng, et al.
Nature Protocols|August 19, 2020
Creating CRISPR-responsive smart materials for diagnostics and programmable cargo releaseRaphael V Gayet, Helena de Puig, Max A English, et al.
Science (New York, N.Y.)|August 24, 2019
Programmable CRISPR-responsive smart materialsMax A English, Luis R Soenksen, Raphael V Gayet, et al.
Cell Systems|June 22, 2023
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequencesJacqueline A Valeri, Luis R Soenksen, Katherine M Collins, et al.
Archives of Medical Research|July 31, 2015
Efficacy and safety evaluation of systemic extremely low frequency magnetic fields used in the healing of diabetic foot ulcers--phase II dataLuis Cañedo-Dorantes, Luis R Soenksen, Clara García-Sánchez, et al.
Nature Biotechnology|June 29, 2021
Wearable materials with embedded synthetic biology sensors for biomolecule detectionPeter Q Nguyen, Luis R Soenksen, Nina M Donghia, et al.
Science Translational Medicine|February 18, 2021
Using deep learning for dermatologist-level detection of suspicious pigmented skin lesions from wide-field imagesLuis R Soenksen, Timothy Kassis, Susan T Conover, et al.
Pageof 2