Jia Wu, PhD

Local Presentations

1. 2023. Empower Digital Pathology with Machine Learning and Usher It into Multi-Modal Integration. Conference. Empower Digital Pathology with Machine Learning and Usher It into Multi-Modal Integration, US.

Regional Presentations

1. 2023. The Beginning of the End for RECIST, and Moving Toward 3D Volumetric-Based Whole-Body Response with Its Application in Personalized Immunotherapy. Conference. The Beginning of the End for RECIST, and Moving Toward 3D Volumetric-Based Whole-Body Response with Its Application in Personalized Immunotherapy, US.
2. 2023. Habitat Imaging Phenotypes Identify Tumor Molecular Programs and Patterns of Clinical and Circulating Disease Recurrence in Early-Stage Non-Small Cell Lung Cancer. Conference. Habitat Imaging Phenotypes Identify Tumor Molecular Programs and Patterns of Clinical and Circulating Disease Recurrence in Early-Stage Non-Small Cell Lung Cancer, US.
3. 2023. Habitat Imaging Analysis: Application in COVID-19, Lung Cancer, Immunotherapy Toxicity. Conference. Habitat Imaging Analysis: Application in COVID-19, Lung Cancer, Immunotherapy Toxicity, US.
4. 2023. STRIDE (STrategic Research Initiative DEvelopment) Research Town Hall -- Tumor Measurement Initiative. Conference. STRIDE (STrategic Research Initiative DEvelopment) Research Town Hall -- Tumor Measurement Initiative, US.
5. 2023. Machine Learning to Augment Lung Cancer Screening. Conference. Machine Learning to Augment Lung Cancer Screening, US.
6. 2022. Lung Cancer Analytics Platform. Conference. Lung Cancer Analytics Platform, US.
7. 2022. Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19. Conference. Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19, US.
8. 2022. Deep Learning of CT Predicts Benefit to Immunotherapy in Lung Cancer. Conference. Deep Learning of CT Predicts Benefit to Immunotherapy in Lung Cancer, US.
9. 2022. Integrate imaging and Biospecimen-Derived Assays to Decipher Tumor Microenvironment in the Era of Immunotherapy. Conference. Integrate imaging and Biospecimen-Derived Assays to Decipher Tumor Microenvironment in the Era of Immunotherapy, US.
10. 2021. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy. Conference. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy, US.
11. 2021. Habitat Imaging Analysis of Lung Cancer. Conference. Habitat Imaging Analysis of Lung Cancer, US.
12. 2020. Artificial Intelligence 101 in Medical Imaging: Open the Door to Discover Clinically Meaningful Imaging Markers in Precision Oncology. Conference. Artificial Intelligence 101 in Medical Imaging: Open the Door to Discover Clinically Meaningful Imaging Markers in Precision Oncology, US.

National Presentations

1. 2025. AI and Multi-modal Modeling in Lung Cancer,. Invited. Gilbert W. Beebe Symposium on AI and ML Applications in Radiation Therapy, Medical Diagnostics, and Radiation Occupational Health and Safety. Washington, D.C, US.
2. 2025. Advancing Clinical Trials: Radiomics and Multiscale Machine Learning for Patient Selection and Stratification. Invited. NRG Developmental Therapeutics/Radiation Oncology Meeting. Phoenix, AZ, US.
3. 2024. Harnessing AI for Enhanced Molecular Imaging in Cancer Research. Invited. Montreal, CA.
4. 2024. Radiomics and Artificial Intelligence for Precision Oncology. Invited, US.
5. 2024. he World Molecular Imaging Congress. Invited. Naples, IT.
6. 2024. AI in Clinical Risk Prediction. Invited. Dallas, Texas, US.
7. 2023. Keynote Speaker: Multi-modal Integration and Modeling to Advance Precision Oncology. Conference. Keynote Speaker: Multi-modal Integration and Modeling to Advance Precision Oncology, US.
8. 2023. Machine learning to analyze radiographic scans and digital pathology slides and integrate genomic data. Conference. Machine learning to analyze radiographic scans and digital pathology slides and integrate genomic data, US.
9. 2023. Using large language models to predict clinical trial success. Conference. Using large language models to predict clinical trial success, US.
10. 2023. Artificial Intelligence to Surpass Radiomics with Multi-Platform Integration for Precision Oncology. Conference. Artificial Intelligence to Surpass Radiomics with Multi-Platform Integration for Precision Oncology, US.
11. 2022. Identification of Nodular Lymphocyte-Predominant Hodgkin Lymphoma Variant Morphology Using Artificial Intelligence. Conference. Identification of Nodular Lymphocyte-Predominant Hodgkin Lymphoma Variant Morphology Using Artificial Intelligence. New Orleans, LA, US.
12. 2022. Integrated Imaging and Molecular Analysis to Decipher Tumor Microenvironment in the Era of Immunotherapy. Conference. The 2nd MD Anderson Cancer Center and ShangHai Concord Cancer Center Annual International Academic Meeting, US.
13. 2022. Proliferation Center-Focused Artificial Intelligence Algorithm Enhances Detection of Accelerated Phase Chronic Lymphocytic Leukemia. Conference. Proliferation Center-Focused Artificial Intelligence Algorithm Enhances Detection of Accelerated Phase Chronic Lymphocytic Leukemia. Los Angeles, CA, US.
14. 2021. Artificial Intelligence-Assisted Mapping of Proliferation Centers in Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma Identifies Patterns That Reliably Distinguish Accelerated Phase and Large Cell Transformation. Conference. Artificial Intelligence-Assisted Mapping of Proliferation Centers in Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma Identifies Patterns That Reliably Distinguish Accelerated Phase and Large Cell Transformation. Atlanta, GA, US.
15. 2021. Machine Learning Pipeline with Feature Engineering Provides Robust Diagnostic Predictions in Chronic Lymphocytic Leukemia, Accelerated and Transformed Phases. Conference. Machine Learning Pipeline with Feature Engineering Provides Robust Diagnostic Predictions in Chronic Lymphocytic Leukemia, Accelerated and Transformed Phases. Atlanta, GA, US.
16. 2021. Spearhead Clinically Relevant Radiologic Biomarker Discovery in Precision Oncology with Habitat Imaging, Virtual Symposium and Scientific Meeting. Conference. Virtual Symposium and Scientific Meeting, US.
17. 2018. Quantitative DCE-MRI Features Can Complement Molecular Markers for Predicting Tumor Infiltrating Lymphocytes in Breast Cancer: Model Discovery and Independent Validation. Conference. Quantitative DCE-MRI Features Can Complement Molecular Markers for Predicting Tumor Infiltrating Lymphocytes in Breast Cancer: Model Discovery and Independent Validation. Chicago, IL, US.
18. 2016. Intratumor Partitioning of Serial CT and FDG-PET Images Identifies High-risk Tumor Subregions and Predicts Patterns of Failure in Non-small Cell Lung Cancer After Radiotherapy. Conference. Intratumor Partitioning of Serial CT and FDG-PET Images Identifies High-risk Tumor Subregions and Predicts Patterns of Failure in Non-small Cell Lung Cancer After Radiotherapy. Boston, MA, US.
19. 2015. Tumor Heterogeneity Patterns of DCE-MRI Parametric Response Maps May Augment Early Assessment of Neoadjuvant Chemotherapy: A Pilot Study of ACRIN 6657/I-SPY 1. Conference. Tumor Heterogeneity Patterns of DCE-MRI Parametric Response Maps May Augment Early Assessment of Neoadjuvant Chemotherapy: A Pilot Study of ACRIN 6657/I-SPY 1. Chicago, IL, US.
20. 2014. A Feasibility Study Investigating the Use of Quantitative Measures of Spatio-temporal Tumor Heterogeneity Derived from 4D Breast Page 4 of 6 DCE-MRI Registration as a Biomarker of Response to Neoadjuvant Chemotherapy. Conference. A Feasibility Study Investigating the Use of Quantitative Measures of Spatio-temporal Tumor Heterogeneity Derived from 4D Breast Page 4 of 6 DCE-MRI Registration as a Biomarker of Response to Neoadjuvant Chemotherapy. Austin, TX, US.
21. 2014. A feasibility study on kinematic feature extraction from the human interventricular septum toward hypertension classification. Conference. A feasibility study on kinematic feature extraction from the human interventricular septum toward hypertension classification. Pittsburgh, PA, US.
22. 2013. An Investigation of Shape Analysis Methods for Assessment of Organ-Level Functional Changes in the Human Right Ventricle. Conference. An Investigation of Shape Analysis Methods for Assessment of Organ-Level Functional Changes in the Human Right Ventricle. Raleigh, NC, US.
23. 2011. Geometric Analysis and Decomposition of Normal and Hypertensive Human Right Ventricle from Diagnostic Medical Imaging. Conference. Geometric Analysis and Decomposition of Normal and Hypertensive Human Right Ventricle from Diagnostic Medical Imaging. Pittsburgh, PA, US.

Formal Peers

1. 2022. AI Bridge Radiology and Pathology. Invited. AI Bridge Radiology and Pathology, US.
2. 2021. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy. Invited. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy. Austin, TX, US.
3. 2020. Habitat Imaging for COVID-19: Discover Clinically Relevant and Actionable Biomarkers. Invited. Habitat Imaging for COVID-19: Discover Clinically Relevant and Actionable Biomarkers, US.
4. 2019. Empower Radiology with Artificial Intelligence: Discover Clinically Relevant and Actionable Imaging Markers. Invited. Empower Radiology with Artificial Intelligence: Discover Clinically Relevant and Actionable Imaging Markers. Stanford, CA, US.
5. 2019. Artificial Intelligence in Radiology: Discover Clinically Relevant & Actionable Imaging Markers, Department of Radiology. Invited. Artificial Intelligence in Radiology: Discover Clinically Relevant & Actionable Imaging Markers, Department of Radiology. New York, NY, US.
6. 2019. Discover Clinically Relevant and Actionable Imaging Markers with Artificial Intelligence, Radiology Research Grand Round. Invited. Discover Clinically Relevant and Actionable Imaging Markers with Artificial Intelligence, Radiology Research Grand Round. Los Angeles, CA, US.
7. 2018. Artificial Intelligence in Medical Imaging: Converting Pictures into Clinically Useful Information for Precision Medicine. Invited. Artificial Intelligence in Medical Imaging: Converting Pictures into Clinically Useful Information for Precision Medicine. Atlanta, GA, US.
8. 2018. Artificial Intelligence in Radiology: Discover Clinically Relevant and Actionable Imaging Markers in Precision Oncology. Invited. Artificial Intelligence in Radiology: Discover Clinically Relevant and Actionable Imaging Markers in Precision Oncology. New York City, NY, US.
9. 2018. Unraveling Tumor Heterogeneity Using Artificial Intelligence: Radiomics, Radiogenomics and Habitat Imaging, Center for Biomedical Informatics. Invited. Unraveling Tumor Heterogeneity Using Artificial Intelligence: Radiomics, Radiogenomics and Habitat Imaging, Center for Biomedical Informatics. Winston-Salem, NC, US.
10. 2018. Spearhead Clinically Relevant Radiologic Biomarker Discovery in Precision Oncology with Artificial Intelligence. Invited. Spearhead Clinically Relevant Radiologic Biomarker Discovery in Precision Oncology with Artificial Intelligence. New York City, NY, US.
11. 2017. Radiomic and Radiogenomic Analysis for Clinically Relevant Imaging Biomarkers in Precision Oncology, Radiology Grand Rounds & Translational Research Seminar. Invited. Radiomic and Radiogenomic Analysis for Clinically Relevant Imaging Biomarkers in Precision Oncology, Radiology Grand Rounds & Translational Research Seminar. Danville, PA, US.
12. 2013. Computational Statistical Shape Analysis of Medical Images for Hypertension Classification. Invited. Computational Statistical Shape Analysis of Medical Images for Hypertension Classification. Saint Louis, MO, US.