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The Journal of Chemical Physics
|
January 9, 2026
A machine learning and explainable AI framework for adsorption energy prediction via effective representation of the adsorbate chemical environment
Mohammadreza Karamad, Aditya Biswas
Kidney360
|
April 4, 2022
Introduction to Supervised Machine Learning
Aditya Biswas, Ishan Saran, F Perry Wilson
Applied Optics
|
August 14, 2020
Optical configuration of modified Fredkin gate using lithium-niobate-based Mach-Zehnder interferometer
Shashank Awasthi, Aditya Biswas, Sanjeev Kumar Metya, et al.
Plos Medicine
|
July 16, 2019
A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study
Michael Simonov, Ugochukwu Ugwuowo, Erica Moreira, et al.
Medrxiv : the Preprint Server for Health Sciences
|
December 10, 2020
Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study
Lama Ghazi, Michael Simonov, Sherry Mansour, et al.
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation
|
November 23, 2024
Treatment Effect Heterogeneity in Acute Kidney Injury Incidence Following Intravenous Antihypertensive Administration for Severe Blood Pressure Elevation During Hospitalization
Lama Ghazi, Xinyuan Chen, Michael O Harhay, et al.
Plos One
|
May 12, 2021
Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study
Lama Ghazi, Michael Simonov, Sherry G Mansour, et al.
Plos One
|
April 6, 2022
Blood pressure response to commonly administered antihypertensives for severe inpatient hypertension
Lama Ghazi, Fan Li, Xinyuan Chen, et al.
Journal of Clinical Hypertension (Greenwich, Conn.)
|
February 17, 2022
Severe inpatient hypertension prevalence and blood pressure response to antihypertensive treatment
Lama Ghazi, Fan Li, Xinyuan Chen, et al.
Clinical Journal of the American Society of Nephrology : CJASN
|
March 31, 2018
Identification of Patients Expected to Benefit from Electronic Alerts for Acute Kidney Injury
Aditya Biswas, Chirag R Parikh, Harold I Feldman, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 22) with videos related to
Sort By:
Page
of 3
The Journal of Chemical Physics
|
January 9, 2026
A machine learning and explainable AI framework for adsorption energy prediction via effective representation of the adsorbate chemical environment
Mohammadreza Karamad, Aditya Biswas
Kidney360
|
April 4, 2022
Introduction to Supervised Machine Learning
Aditya Biswas, Ishan Saran, F Perry Wilson
Applied Optics
|
August 14, 2020
Optical configuration of modified Fredkin gate using lithium-niobate-based Mach-Zehnder interferometer
Shashank Awasthi, Aditya Biswas, Sanjeev Kumar Metya, et al.
Plos Medicine
|
July 16, 2019
A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: A descriptive modeling study
Michael Simonov, Ugochukwu Ugwuowo, Erica Moreira, et al.
Medrxiv : the Preprint Server for Health Sciences
|
December 10, 2020
Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study
Lama Ghazi, Michael Simonov, Sherry Mansour, et al.
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation
|
November 23, 2024
Treatment Effect Heterogeneity in Acute Kidney Injury Incidence Following Intravenous Antihypertensive Administration for Severe Blood Pressure Elevation During Hospitalization
Lama Ghazi, Xinyuan Chen, Michael O Harhay, et al.
Plos One
|
May 12, 2021
Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study
Lama Ghazi, Michael Simonov, Sherry G Mansour, et al.
Plos One
|
April 6, 2022
Blood pressure response to commonly administered antihypertensives for severe inpatient hypertension
Lama Ghazi, Fan Li, Xinyuan Chen, et al.
Journal of Clinical Hypertension (Greenwich, Conn.)
|
February 17, 2022
Severe inpatient hypertension prevalence and blood pressure response to antihypertensive treatment
Lama Ghazi, Fan Li, Xinyuan Chen, et al.
Clinical Journal of the American Society of Nephrology : CJASN
|
March 31, 2018
Identification of Patients Expected to Benefit from Electronic Alerts for Acute Kidney Injury
Aditya Biswas, Chirag R Parikh, Harold I Feldman, et al.
Page
of 3