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Shreya Chappidi

Showing results (1-10 of 8) with videos related to

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Arxiv|April 29, 2026
Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-MakingShreya Chappidi, Jatinder Singh, Andra V Krauze
International Journal of Molecular Sciences|May 14, 2025
GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in GlioblastomaErdal Tasci, Shreya Chappidi, Ying Zhuge, et al.
PLOS Digital Health|May 14, 2025
From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalitiesShreya Chappidi, Mason J Belue, Stephanie A Harmon, et al.
Diagnostics (Basel, Switzerland)|July 13, 2024
Diagnosing Progression in Glioblastoma-Tackling a Neuro-Oncology Problem Using Artificial-Intelligence-Derived Volumetric Change over Time on Magnetic Resonance Imaging to Examine Progression-Free Survival in GlioblastomaMason J Belue, Stephanie A Harmon, Shreya Chappidi, et al.
Cancers|August 10, 2024
Serum CD133-Associated Proteins Identified by Machine Learning Are Connected to Neural Development, Cancer Pathways, and 12-Month Survival in GlioblastomaThomas Joyce, Erdal Tasci, Sarisha Jagasia, et al.
International Journal of Molecular Sciences|October 26, 2024
MetaWise: Combined Feature Selection and Weighting Method to Link the Serum Metabolome to Treatment Response and Survival in GlioblastomaErdal Tasci, Michael Popa, Ying Zhuge, et al.
Research Square|March 27, 2026
Temporal Integration of Serum Proteomics, Metabolomics and MRI Tumor Volumetrics via Deep Learning Identifies Systemic Mediators of Glioblastoma Response to ChemoradiotherapyAndra Krauze, Trinh Nguyen, Michael Sierk, et al.
International Journal of Molecular Sciences|April 13, 2024
MGMT ProFWise: Unlocking a New Application for Combined Feature Selection and the Rank-Based Weighting Method to Link MGMT Methylation Status to Serum Protein Expression in Patients with GlioblastomaErdal Tasci, Yajas Shah, Sarisha Jagasia, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Arxiv|April 29, 2026
Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-MakingShreya Chappidi, Jatinder Singh, Andra V Krauze
International Journal of Molecular Sciences|May 14, 2025
GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in GlioblastomaErdal Tasci, Shreya Chappidi, Ying Zhuge, et al.
PLOS Digital Health|May 14, 2025
From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalitiesShreya Chappidi, Mason J Belue, Stephanie A Harmon, et al.
Diagnostics (Basel, Switzerland)|July 13, 2024
Diagnosing Progression in Glioblastoma-Tackling a Neuro-Oncology Problem Using Artificial-Intelligence-Derived Volumetric Change over Time on Magnetic Resonance Imaging to Examine Progression-Free Survival in GlioblastomaMason J Belue, Stephanie A Harmon, Shreya Chappidi, et al.
Cancers|August 10, 2024
Serum CD133-Associated Proteins Identified by Machine Learning Are Connected to Neural Development, Cancer Pathways, and 12-Month Survival in GlioblastomaThomas Joyce, Erdal Tasci, Sarisha Jagasia, et al.
International Journal of Molecular Sciences|October 26, 2024
MetaWise: Combined Feature Selection and Weighting Method to Link the Serum Metabolome to Treatment Response and Survival in GlioblastomaErdal Tasci, Michael Popa, Ying Zhuge, et al.
Research Square|March 27, 2026
Temporal Integration of Serum Proteomics, Metabolomics and MRI Tumor Volumetrics via Deep Learning Identifies Systemic Mediators of Glioblastoma Response to ChemoradiotherapyAndra Krauze, Trinh Nguyen, Michael Sierk, et al.
International Journal of Molecular Sciences|April 13, 2024
MGMT ProFWise: Unlocking a New Application for Combined Feature Selection and the Rank-Based Weighting Method to Link MGMT Methylation Status to Serum Protein Expression in Patients with GlioblastomaErdal Tasci, Yajas Shah, Sarisha Jagasia, et al.
Pageof 1