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

Kaori Ambe

Showing results (11-20 of 14) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 14 results.
Toxicological Sciences : an Official Journal of the Society of Toxicology|January 9, 2018
In Silico Prediction of Chemical-Induced Hepatocellular Hypertrophy Using Molecular DescriptorsKaori Ambe, Kana Ishihara, Tatsuya Ochibe, et al.
Regulatory Toxicology and Pharmacology : RTP|April 17, 2026
ExSERA: The Explainable Machine Learning Model for Skin Sensitization Risk AssessmentKaori Ambe, Kei Kinoshita, Juri Tokunaga, et al.
Clinical Kidney Journal|November 2, 2023
Epidemiology and predictors of hyponatremia in a contemporary cohort of patients with malignancy: a retrospective cohort studyMiho Murashima, Kaori Ambe, Yuka Aoki, et al.
Clinical and Translational Science|January 6, 2025
Prediction of Cisplatin-Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record InformationKaori Ambe, Yuka Aoki, Miho Murashima, et al.
Pageof 2

Showing results (11-20 of 14) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 14 results.
Toxicological Sciences : an Official Journal of the Society of Toxicology|January 9, 2018
In Silico Prediction of Chemical-Induced Hepatocellular Hypertrophy Using Molecular DescriptorsKaori Ambe, Kana Ishihara, Tatsuya Ochibe, et al.
Regulatory Toxicology and Pharmacology : RTP|April 17, 2026
ExSERA: The Explainable Machine Learning Model for Skin Sensitization Risk AssessmentKaori Ambe, Kei Kinoshita, Juri Tokunaga, et al.
Clinical Kidney Journal|November 2, 2023
Epidemiology and predictors of hyponatremia in a contemporary cohort of patients with malignancy: a retrospective cohort studyMiho Murashima, Kaori Ambe, Yuka Aoki, et al.
Clinical and Translational Science|January 6, 2025
Prediction of Cisplatin-Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record InformationKaori Ambe, Yuka Aoki, Miho Murashima, et al.
Pageof 2