Southern University of Science and Technology (susTech)
May 12, 2025
Ye, has become an associate professor at the School of Public Health and Emergency Management, Southern University of Science and Technology (susTech).
April 15, 2025
Chenxi Song has been admitted by the University of Texas at Arlington. Congratulations to Chenxi!
April 15, 2025
Yuhe Gao has been admitted by Emory University. Congratulations to Yuhe!
March 12, 2025
Ye presented "Transfer Learning with Clinical Concept Embeddings from Large Language Models" in AMIA 2025 Informatics Summit.
February 26, 2025
Assessing the Diagnostic Potential of the Foundation Model Prov-GigaPath for Mesothelioma has been accepted by Pathology Informatics Summit 2025.
November, 2024
Probabilistic Disease Surveillance Using Large Language Model has been accepted by AMIA 2025 Informatics Summit.
November, 2024
Transfer Learning with Clinical Concept Embeddings from Large Language Models has been accepted by AMIA 2025 Informatics Summit.
September, 2024
We analyzed electronic health records from two large healthcare systems to assess the impact of semantic embeddings from LLMs (BERT, BioBERT, Med-BERT, and OpenAI) on local, shared, and transfer learning models. The corresponding code package has been released and is available at gitHub .
September, 2024
Ye has joined as a co-investigator on the newly funded grant, R24GM153920 , for the Models of Infectious Disease Agent Study (MIDAS) Coordination Center, led by Principal Investigator Dr. Harry Hochheiser.
June, 2024
Our paper, Online Transfer Learning for RSV Case Detection (Yiming as the first author) has received the Best Paper Award in the Analytics Track. Yuhe provided an oral presentation on behalf of the team at the The 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024) in Orlando, FL.
May, 2024
Ye coauthored the paper A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation, which is recently published.
April, 2024
Disheng will embark on his PhD journey at the Case School of Engineering at the Case Western Reserve University this Fall.
Februray, 2024
Runxue will begin his new role as an AI Research Scientist with the Foundation AI team at GE Healthcare. In the meantime, he will continue collaborating with AIPH and contributing to ongoing projects.
January, 2024
Ye is invited to join the editor board of the Journal of Biomedical Informatics.
Dec, 2023
Our paper, Prediction of COVID-19 Patientsʼ Emergency Room Revisit using Multi-Source Transfer Learning has been published through The 11th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2023). Yuhe, as the representative speaker, gave an oral presentation present in the 11th IEEE International Conference on Healthcare Informatics (ICHI), in Houston, Texas.
Nov, 2023
In the American Medical Informatics Association Annual Symposium, Ye presented our work "An Empirical Analysis of Deep Transfer Learning for Infectious Disease Case Detection", of which the software package and synthetic data has been released through gitHub .
March, 2023
Yuhe has taken a position as a Data Scientist at the Department of Biomedical and Informatics at the University of Pittsburgh.
March, 2023
Our paper, Industry, occupation, and exposure history of mesothelioma patients in the U.S. National Mesothelioma Virtual Bank, 2006–2022 has been published in Environment Research. This is a collaborative work with CDC National Institute for Occupational Safety and Health and National Mesothelioma Virtual Bank.
March, 2023
Yuelyu Ji will be returning to our lab this fall term as she has accepted the offer of a doctoral program in Information Science at the School of Computing and Information, University of Pittsburgh.
Februray, 2023
AIPH is excited to announce the addition of a new member this fall: John Song. John, a second-year student in the Master's program in Information Science, has a background in both Computer Science and Engineering.
Februray, 2023
Runxue Bao, a valued member of our research team, has recently graduated from his Doctoral program in Electrical & Computer Engineering at the University of Pittsburgh.