Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Matthew Brendel

Showing results (11-20 of 18) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 18 results.
Nature Communications|September 5, 2024
Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imagingSuraj Rajendran, Matthew Brendel, Josue Barnes, et al.
The Lancet. Digital Health|December 21, 2022
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation studyJosue Barnes, Matthew Brendel, Vianne R Gao, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 15, 2021
A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology FusionPegah Khosravi, Maria Lysandrou, Mahmoud Eljalby, et al.
NPJ Digital Medicine|March 23, 2025
Predicting response to neoadjuvant chemotherapy in muscle-invasive bladder cancer via interpretable multimodal deep learningZilong Bai, Mohamed Osman, Matthew Brendel, et al.
NPJ Digital Medicine|July 9, 2024
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal dataChang Su, Yu Hou, Jielin Xu, et al.
Nature Communications|August 29, 2024
Automated multi-scale computational pathotyping (AMSCP) of inflamed synovial tissueRichard D Bell, Matthew Brendel, Maxwell A Konnaris, et al.
Science Translational Medicine|December 1, 2021
AD-linked R47H-<i>TREM2</i> mutation induces disease-enhancing microglial states via AKT hyperactivationFaten A Sayed, Lay Kodama, Li Fan, et al.
Nature Cell Biology|February 21, 2018
Identification of distinct nanoparticles and subsets of extracellular vesicles by asymmetric flow field-flow fractionationHaiying Zhang, Daniela Freitas, Han Sang Kim, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Nature Communications|September 5, 2024
Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imagingSuraj Rajendran, Matthew Brendel, Josue Barnes, et al.
The Lancet. Digital Health|December 21, 2022
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation studyJosue Barnes, Matthew Brendel, Vianne R Gao, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 15, 2021
A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology FusionPegah Khosravi, Maria Lysandrou, Mahmoud Eljalby, et al.
NPJ Digital Medicine|March 23, 2025
Predicting response to neoadjuvant chemotherapy in muscle-invasive bladder cancer via interpretable multimodal deep learningZilong Bai, Mohamed Osman, Matthew Brendel, et al.
NPJ Digital Medicine|July 9, 2024
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal dataChang Su, Yu Hou, Jielin Xu, et al.
Nature Communications|August 29, 2024
Automated multi-scale computational pathotyping (AMSCP) of inflamed synovial tissueRichard D Bell, Matthew Brendel, Maxwell A Konnaris, et al.
Science Translational Medicine|December 1, 2021
AD-linked R47H-<i>TREM2</i> mutation induces disease-enhancing microglial states via AKT hyperactivationFaten A Sayed, Lay Kodama, Li Fan, et al.
Nature Cell Biology|February 21, 2018
Identification of distinct nanoparticles and subsets of extracellular vesicles by asymmetric flow field-flow fractionationHaiying Zhang, Daniela Freitas, Han Sang Kim, et al.
Pageof 2