Biomedical Informatics at University of Pittsburgh

Biomedical Informatics at University of Pittsburgh An NLM funded training program for 25 years, we offer a range of training experiences to accommodate diverse backgrounds and aspirations.

Active participation in research and development is a key element of the educational experience at DBMI. The Department of Biomedical Informatics is committed to improving biomedical research and clinical care through the innovative application of informatics. Currently funded projects explore areas such as genomic and proteomic data mining, natural language processing, machine learning, and biosurveillance.

Doctoral Fellow Joy Roy's paper has been published in the Journal of Medical Internet Research.
04/14/2022

Doctoral Fellow Joy Roy's paper has been published in the Journal of Medical Internet Research.

When the COVID-19 pandemic spurred a disruption in health care delivery, the role of telehealth shifted from an option to a near necessity to maintain access when in-person care was deemed too risky. Each state and many organizations developed temporary telehealth policies for the COVID-19 emergency...

04/14/2022

Congratulations to Han Zhang for successfully defending his master’s research project on March 21, 2022. His research project is entitled "Intragenic Rearrangement Burden Boosts Immune Response Prediction to PD-L1 Blockage”.

04/14/2022

Congratulations to Yingci Liu Lu for successfully defending her master’s research project on December 9, 2021. Her research project is entitled "Automated Detection of Premalignant Oral Lesions on Whole Slide Images using Convolutional Neural Networks”.

04/14/2022

Congratulations to Dr. Lifan Liang!! He successfully defended isr doctoral dissertation on September 30, 2021. His dissertation is entitled “Integrative Analysis of Modular Structure of Genes in High-Throughput Profiles”.

04/14/2022

Congratulations to Dr. Adriana Johnson!! She successfully defended her doctoral dissertation on July 23, 2021. Her dissertation is entitled “Patient-Specific Prediction with Bayesian Personalized Decision Paths”.

04/14/2022

Congratulations to Dr. Saja Al-Alawneh!! She successfully defended her doctoral dissertation on July 22, 2021. Her dissertation is entitled “Clinical Text Analysis using Visual Analytics for Cancer Patient Cohort Identification”.

04/14/2022

Congratulations to Dr. Lauren Rost!! She successfully defended her doctoral dissertation on July 13, 2021. Her dissertation is entitled “Using High-Dimensional Pharmacogenomics Data to Predict Effective Antidepressant Treatment Response and Symptom Remission in Major Depressive Disorder Patients”.

04/14/2022

Congratulations to Shuyu Frank Lu for successfully defending his master’s research project on April 30, 2021. His research project is entitled "Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions”.

04/14/2022

Congratulations to Dr. Sanghoon Lee!! He successfully defended his doctoral dissertation on April 29, 2021. His dissertation is entitled “Integral Genomic Signature Modeling in Breast Cancer to Predict HER2-targeted Therapeutic Response”.

04/14/2022

Congratulations to Dr. Pritika Dasgupta!! She successfully defended her doctoral dissertation on April 23, 2021. Her dissertation is entitled "Acceleration Signals in Determining Gait-Related Difficulties and the Motor Skills of Walking in Older Adults".

Alumna Pritika Dasgupta, PhD had her paper published in the American Journal of Emergency Medicine.
04/14/2022

Alumna Pritika Dasgupta, PhD had her paper published in the American Journal of Emergency Medicine.

Identifying older adults with risk for falls prior to discharge home from the Emergency Department (ED) could help direct fall prevention intervention…

Doctoral Candidate Brandan Dunham's paper has been published in Molecules.
04/14/2022

Doctoral Candidate Brandan Dunham's paper has been published in Molecules.

Protein–protein interactions (PPIs) perform various functions and regulate processes throughout cells. Knowledge of the full network of PPIs is vital to biomedical research, but most of the PPIs are still unknown. As it is infeasible to discover all of them experimentally due to technical and....

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