Venkata Manem

Venkata Manem

Université Laval

H-index: 15

North America-Canada

About Venkata Manem

Venkata Manem, With an exceptional h-index of 15 and a recent h-index of 14 (since 2020), a distinguished researcher at Université Laval, specializes in the field of Machine Learning, Radiogenomics, Biomarker discovery, Bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

CXCL13 Positive Cells Localization Predict Response to Anti-PD-1/PD-L1 in Pulmonary Non-Small Cell Carcinoma

The Cross-Scale Association between Pathomics and Radiomics Features in Immunotherapy-Treated NSCLC Patients: A Preliminary Study

Multi-institutional prognostic modeling of survival outcomes in NSCLC patients treated with first-line immunotherapy using radiomics

Gene expression signature predicts radiation sensitivity in cell lines using the integral of dose–response curve

Imaging-Based Biomarkers Predict Programmed Death-Ligand 1 and Survival Outcomes in Advanced NSCLC Treated With Nivolumab and Pembrolizumab: A Multi-Institutional Study

Finding reproducible and informative radiomic features associated to clinical endpoints and to immunohistochemistry biomarkers from CT imaging data in an immunotherapy-treated …

A radiomics-clinical model predicts overall survival of non-small cell lung cancer patients treated with immunotherapy: a multicenter study

Radiomics approaches to predict PD-L1 and PFS in advanced non-small cell lung patients treated with immunotherapy: a multi-institutional study

Venkata Manem Information

University

Position

Adjunct Professor & Researcher (Principal Investigator) IUCPQ

Citations(all)

974

Citations(since 2020)

912

Cited By

285

hIndex(all)

15

hIndex(since 2020)

14

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Venkata Manem Skills & Research Interests

Machine Learning

Radiogenomics

Biomarker discovery

Bioinformatics

Top articles of Venkata Manem

CXCL13 Positive Cells Localization Predict Response to Anti-PD-1/PD-L1 in Pulmonary Non-Small Cell Carcinoma

Cancers

2024/2/7

The Cross-Scale Association between Pathomics and Radiomics Features in Immunotherapy-Treated NSCLC Patients: A Preliminary Study

Cancers

2024/1/13

Multi-institutional prognostic modeling of survival outcomes in NSCLC patients treated with first-line immunotherapy using radiomics

Journal of Translational Medicine

2024/1/10

Gene expression signature predicts radiation sensitivity in cell lines using the integral of dose–response curve

BMC cancer

2024/1/2

Imaging-Based Biomarkers Predict Programmed Death-Ligand 1 and Survival Outcomes in Advanced NSCLC Treated With Nivolumab and Pembrolizumab: A Multi-Institutional Study

JTO Clinical and Research Reports

2023/12/1

Finding reproducible and informative radiomic features associated to clinical endpoints and to immunohistochemistry biomarkers from CT imaging data in an immunotherapy-treated …

Cureus Journal of Medical Science

2023/9/19

A radiomics-clinical model predicts overall survival of non-small cell lung cancer patients treated with immunotherapy: a multicenter study

Cancers

2023/7/28

Radiomics approaches to predict PD-L1 and PFS in advanced non-small cell lung patients treated with immunotherapy: a multi-institutional study

Scientific Reports

2023/7/8

Single-cell spatial landscapes of the lung tumour immune microenvironment

Nature

2023/2/16

EGFR Pathway Expression Persists in Recurrent Glioblastoma Independent of Amplification Status

Cancers

2023/1/21

Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors’ response in non-small cell lung cancer: A multicenter cohort study

Frontiers in Oncology

2023

Single-cell spatial landscape of immunotherapy response reveals mechanisms of CXCL13 enhanced antitumor immunity

Journal for Immunotherapy of Cancer

2023

Addendum: Unravelling actionable biology using transcriptomic data to integrate mitotic index and Ki-67 in the management of lung neuroendocrine tumors

Oncotarget

2022

Development and validation of genomic predictors of radiation sensitivity using preclinical data

BMC cancer

2021/12

ZNF768: controlling cellular senescence and proliferation with ten fingers

Molecular & Cellular Oncology

2021/11/2

Unravelling actionable biology using transcriptomic data to integrate mitotic index and Ki-67 in the management of lung neuroendocrine tumors

Oncotarget

2021/2/2

See List of Professors in Venkata Manem University(Université Laval)

Co-Authors

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