Wang Lab at UNMC
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2025
Apr-22-2025
Dr. Wang is awarded the Buffett Cancer Center American Cancer Society (ACS) Seed Grant, congratulations!
Apr-21-2025
An abstract paper of "Development of g-rate based random forest machine learning model to predict overall survival for patients with metastatic prostate cancer" was published in "Cancer Research" of AACR 2025. Congratulations to Azzam!
Apr-21-2025
An abstract paper of "Enhancing prostate pelvic multimodality data generating with conditional generative models: A Pix2Pix-based approach for MRI-to-PET synthesis" was published in "Cancer Research" of AACR 2025. Congratulations to Ruobing!
Mar-11-2025
Dr. Wang gave a presentation on "The Association between Brain Age and DNA Methylation Age at the Global and the Local Level" at the CoNDA Center Colloquium.
Mar-11-2025
Our poster "The Triple Network Model of Cocaine-use Disorder: Default Mode Network, Central Executive Network, and Salience Network" won the "Best Poster Award" at the CoNDA Center Colloquium. Congratulations to Ziyang!
Feb-10-2025
An abstract paper of "g -Rate–based machine learning model to predict overall survival (OS) in patients with metastatic prostate cancer (mPC) while on treatment" was published in "Journal of Clinical Oncology." Congratulations to Dr. Wang and Azzam!
Jan-06-2025
An abstract paper of "Enhancing prostate pelvic multimodality data generating with conditional generative models: A Pix2Pix-based approach for MRI-to-PET synthesis" was accepted by AACR Annual Meeting 2025. Congratulations to Ruobing!
2024
Nov-14-2024
A preprint version of our paper of "Functional Connectivity Alterations in Cocaine Use Disorder: Insights from the Triple Network Model and the Addictions Neuroclinical Assessment Framework" is now available on BioRxiv.
Details of the paper can be found
here
.
Oct-22-2024
Our review paper of "A review of artificial intelligence-based brain age estimation and its applications for related diseases" was published in "Briefings in Functional Genomics." Congratulations to Azzam and all co-authors!
Details of the paper can be found
here
.