University of Texas Southwestern Medical Center · Biomedical EngineeringWang Radiotherapy Lab
Jing Wang · Dallas, Texas
Research Focus
Dr. Jing Wang's lab focuses on improving radiation therapy for patients with head and neck cancer by developing advanced predictive models to identify cancerous lymph nodes. They use machine learning techniques to analyze imaging data and patient information to enhance treatment efficacy while reducing side effects. The goal is to change how radiation is applied, making it more precise and minimizing harm to healthy tissues.
radiation therapymachine learninghead and neck cancerlymph node metastasisimaging analysisclinical trialspredictive modelingtoxicities reductionintensity-modulated radiation therapymultifaceted models
Research Aims
5AIM 01Develop a predictive model for lymph node metastasis in head and neck cancer patients.
AIM 02Validate the multi-modal metastasis prediction model using patient cohorts.
AIM 03Conduct a randomized trial comparing involved nodal radiotherapy to conventional radiotherapy.
AIM 04Optimize classification methods to improve sensitivity and specificity in identifying malignant lymph nodes.
AIM 05Reduce treatment-related toxicities in head and neck cancer patients through tailored radiation therapy.
Skills the Lab Values
radiomics analysismachine learning algorithmsdata collectionclinical trial designimage processing (CT and PET)predictive modelingstatistical analysismulticlass classificationpatient registry managementsoftware for data analysis (e.g., Python)
Output against the department
Publications1,445top 2% of dept.11th of 595
this lab
most publishedleast published
Citations48ktop 4% of dept.21st of 595
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.