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

Andrew L Beam

Showing results (31-40 of 48) with videos related to

Pageof 5
Sort By:
NPJ Digital Medicine|March 31, 2021
Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?Brett K Beaulieu-Jones, William Yuan, Gabriel A Brat, et al.
Reproductive Toxicology (Elmsford, N.Y.)|May 20, 2020
Machine learning on drug-specific data to predict small molecule teratogenicityAnup P Challa, Andrew L Beam, Min Shen, et al.
Scientific Reports|February 10, 2017
Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-MakingAndrew L Beam, Uri Kartoun, Jennifer K Pai, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical DataAndrew L Beam, Benjamin Kompa, Allen Schmaltz, et al.
Scientific Reports|May 20, 2018
Development of an Algorithm to Identify Patients with Physician-Documented InsomniaUri Kartoun, Rahul Aggarwal, Andrew L Beam, et al.
Journal of Perinatology : Official Journal of the California Perinatal Association|February 28, 2020
Estimates of healthcare spending for preterm and low-birthweight infants in a commercially insured population: 2008-2016Andrew L Beam, Inbar Fried, Nathan Palmer, et al.
NPJ Digital Medicine|May 14, 2025
Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopyNeslihan Dilruba Koseoglu, Eric Chen, Rudraksh Tuwani, et al.
Drug Safety|May 17, 2022
Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping ReviewBenjamin Kompa, Joe B Hakim, Anil Palepu, et al.
Drug Safety|February 24, 2023
Correction to: Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping ReviewBenjamin Kompa, Joe B Hakim, Anil Palepu, et al.
Journal of Toxicology and Environmental Health. Part B, Critical Reviews|June 25, 2010
Xenobiotic-metabolizing enzyme and transporter gene expression in primary cultures of human hepatocytes modulated by ToxCast chemicalsDaniel M Rotroff, Andrew L Beam, David J Dix, et al.
Pageof 5

Showing results (31-40 of 48) with videos related to

Sort By:
Pageof 5
NPJ Digital Medicine|March 31, 2021
Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?Brett K Beaulieu-Jones, William Yuan, Gabriel A Brat, et al.
Reproductive Toxicology (Elmsford, N.Y.)|May 20, 2020
Machine learning on drug-specific data to predict small molecule teratogenicityAnup P Challa, Andrew L Beam, Min Shen, et al.
Scientific Reports|February 10, 2017
Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-MakingAndrew L Beam, Uri Kartoun, Jennifer K Pai, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical DataAndrew L Beam, Benjamin Kompa, Allen Schmaltz, et al.
Scientific Reports|May 20, 2018
Development of an Algorithm to Identify Patients with Physician-Documented InsomniaUri Kartoun, Rahul Aggarwal, Andrew L Beam, et al.
Journal of Perinatology : Official Journal of the California Perinatal Association|February 28, 2020
Estimates of healthcare spending for preterm and low-birthweight infants in a commercially insured population: 2008-2016Andrew L Beam, Inbar Fried, Nathan Palmer, et al.
NPJ Digital Medicine|May 14, 2025
Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopyNeslihan Dilruba Koseoglu, Eric Chen, Rudraksh Tuwani, et al.
Drug Safety|May 17, 2022
Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping ReviewBenjamin Kompa, Joe B Hakim, Anil Palepu, et al.
Drug Safety|February 24, 2023
Correction to: Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping ReviewBenjamin Kompa, Joe B Hakim, Anil Palepu, et al.
Journal of Toxicology and Environmental Health. Part B, Critical Reviews|June 25, 2010
Xenobiotic-metabolizing enzyme and transporter gene expression in primary cultures of human hepatocytes modulated by ToxCast chemicalsDaniel M Rotroff, Andrew L Beam, David J Dix, et al.
Pageof 5