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Dulin Wang

Showing results (1-10 of 8) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
Knowledge-guided Deep Temporal Clustering for Alzheimer's Disease Subtypes in Completed Clinical TrialsDulin Wang, Xiaotian Ma, Paul E Schulz, et al.
Journal of Biomedical Informatics|October 2, 2024
Clinical outcome-guided deep temporal clustering for disease progression subtypingDulin Wang, Xiaotian Ma, Paul E Schulz, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 24, 2025
BiomarkersMadison Shyer, Kristofer Harris, Dulin Wang, et al.
Medrxiv : the Preprint Server for Health Sciences|November 14, 2023
Characterizing Treatment Non-responders vs. Responders in Completed Alzheimer's Disease Clinical TrialsDulin Wang, Yaobin Ling, Kristofer Harris, et al.
BMC Medical Informatics and Decision Making|July 21, 2023
Non-invasive arterial blood pressure measurement and SpO<sub>2</sub> estimation using PPG signal: a deep learning frameworkYan Chu, Kaichen Tang, Yu-Chun Hsu, et al.
The Journal of Prevention of Alzheimer'S Disease|January 21, 2026
The influence of bapineuzumab and semagacestat on rapid progressors: A retrospective cohort studyKristofer Harris, Madison Shyer, Dulin Wang, et al.
Medrxiv : the Preprint Server for Health Sciences|December 25, 2025
A medically grounded LLM agent-based tool to detect patient safety events in medical records: Identifying patient safety events with large language modelsDiego Trujillo, Dulin Wang, Nathan Bahr, et al.
PLOS Digital Health|April 10, 2024
Deep learning to predict rapid progression of Alzheimer's disease from pooled clinical trials: A retrospective studyXiaotian Ma, Madison Shyer, Kristofer Harris, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
Knowledge-guided Deep Temporal Clustering for Alzheimer's Disease Subtypes in Completed Clinical TrialsDulin Wang, Xiaotian Ma, Paul E Schulz, et al.
Journal of Biomedical Informatics|October 2, 2024
Clinical outcome-guided deep temporal clustering for disease progression subtypingDulin Wang, Xiaotian Ma, Paul E Schulz, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 24, 2025
BiomarkersMadison Shyer, Kristofer Harris, Dulin Wang, et al.
Medrxiv : the Preprint Server for Health Sciences|November 14, 2023
Characterizing Treatment Non-responders vs. Responders in Completed Alzheimer's Disease Clinical TrialsDulin Wang, Yaobin Ling, Kristofer Harris, et al.
BMC Medical Informatics and Decision Making|July 21, 2023
Non-invasive arterial blood pressure measurement and SpO<sub>2</sub> estimation using PPG signal: a deep learning frameworkYan Chu, Kaichen Tang, Yu-Chun Hsu, et al.
The Journal of Prevention of Alzheimer'S Disease|January 21, 2026
The influence of bapineuzumab and semagacestat on rapid progressors: A retrospective cohort studyKristofer Harris, Madison Shyer, Dulin Wang, et al.
Medrxiv : the Preprint Server for Health Sciences|December 25, 2025
A medically grounded LLM agent-based tool to detect patient safety events in medical records: Identifying patient safety events with large language modelsDiego Trujillo, Dulin Wang, Nathan Bahr, et al.
PLOS Digital Health|April 10, 2024
Deep learning to predict rapid progression of Alzheimer's disease from pooled clinical trials: A retrospective studyXiaotian Ma, Madison Shyer, Kristofer Harris, et al.
Pageof 1