VA
Venkateswar
Also known as: Venkat Addala
QIMR Berghofer Medical Research Institute, The University of Queensland
Research areas: Medicine · Oncology · Pancreatic and Hepatic Oncology Research · Cancer Genomics and Diagnostics · Advanced Proteomics Techniques and Applications
0000-0002-3569-2065
Employment
- 2020 - Present
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University of Queensland PhD Student2016 - 2020
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QIMR Berghofer Medical Research Institute PhD Student2016 - 2020
Education
- 2016 - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (28)
- Explainable machine learning identifies features and thresholds predictive of immunotherapy response Save
- Germline variants alter immune surveillance Save
- Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures Save
- Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures Save
- Computational immunogenomic approaches to predict response to cancer immunotherapies Save
- Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures Save
- Multi-omic features of oesophageal adenocarcinoma in patients treated with preoperative neoadjuvant therapy Save
- A first-in-class pan-lysyl oxidase inhibitor impairs stromal remodeling and enhances gemcitabine response and survival in pancreatic cancer Save
- Efficient detection and monitoring of pediatric brain malignancies with liquid biopsy based on patient-specific somatic mutation screening Save
- Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology Save
- Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology Save
- Multiomic profiling of checkpoint inhibitor-treated melanoma: Identifying predictors of response and resistance, and markers of biological discordance Save
- Comparison of actionable events detected in cancer genomes by whole-genome sequencing, in silico whole-exome and mutation panels Save
- Comprehensive genomic and tumour immune profiling reveals potential therapeutic targets in malignant pleural mesothelioma Save
- Erratum: CD155 loss enhances tumor suppression via combined host and tumor-intrinsic mechanisms (J Clin Invest. (2018) 128: 6 (2613-2625) DOI: 10.1172/JCI98769) Save
- Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology Save
- Genomic and Molecular Analyses Identify Molecular Subtypes of Pancreatic Cancer Recurrence Save
- DNA methylation patterns identify subgroups of pancreatic neuroendocrine tumors with clinical association Save
- ROR1 and ROR2 expression in pancreatic cancer Save
- Therapeutic Opportunity in Cancers with Poor Survival Save