There are 221 resources available
37P - Lymphocyte Subpopulation Balances as a Blood Biomarker for Immune-Related Adverse Events in Patients Receiving Immune Checkpoint Inhibitors
Presenter: Mireille Langouo fontsa
Session: Poster Display session
Resources:
Abstract
38P - Biomarkers predictive of response to immune checkpoint inhibitor therapy in patients with metastatic melanoma
Presenter: Eliza Bob
Session: Poster Display session
Resources:
Abstract
39P - Analysis of the immune response patterns in localized prostate cancer
Presenter: Sara Merler
Session: Poster Display session
Resources:
Abstract
40P - MANIFEST: A Multiomic Profiling Platform for Immuno-Oncology Biomarker Discovery
Presenter: Zayd Tippu
Session: Poster Display session
Resources:
Abstract
41P - Total tumor burden and radiomics to evaluate response in dose escalation studies: Roginolisib (IOA-244), a highly selective PI3Kd inhibitor in metastatic uveal melanoma patients
Presenter: Anna Di Giacomo
Session: Poster Display session
Resources:
Abstract
43P - Machine learning radiomics based on CT to predict response to lenvatinib plus tislelizumab based therapy for unresectable hepatocellular carcinoma
Presenter: Gang Chen
Session: Poster Display session
Resources:
Abstract
44P - Machine learning-based prediction of survival in patients with metastatic renal cell carcinoma receiving first-line immunotherapy
Presenter: Ahmed Elgebaly
Session: Poster Display session
Resources:
Abstract
45P - Gut microbiome signatures for exploring the correlation between gut microbiome and immune therapy response using machine learning approach
Presenter: Han Li
Session: Poster Display session
Resources:
Abstract
46P - Abnormal gut microbiota may cause PD-1 inhibitor-related cardiotoxicity via suppressing regulatory T cells
Presenter: Zeeshan Afzal
Session: Poster Display session
Resources:
Abstract
47P - Correlation of clinical, genetic and transcriptomic traits with PD-L1 positivity in TNBC patients
Presenter: Anita Semertzidou
Session: Poster Display session
Resources:
Abstract