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  • Pages
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01 Welcome
02 Introduction
03 #1 DEP and AI
04 #2 Radiogligand
05 #3 Living Cancer Cell Liquid
06 #4 Solid Tumor
07 #5 AI Driven SaaS
08 #6 Nanoparticles Reprogram
09 #7 Dual Checkpoint
10 #8 Approved HER2
11 #9 Biosimilar
12 #10 Big Data

#10 Big Data in Cancer is Getting Bigger & Making Impact

Oncology Advancements: Top 10 of 2022

Molecular omics, perturbation phenotypic data, molecular interaction, imaging and textual data are the five basic data types in cancer research.

Why is this significant?

As data repositories and analytic platforms grow, our ability to provide integrative analysis including cross-cohort data aggregation (multiple centers of studies), cross modality data integration and knowledge transfer through data reuse will impact treatment decisions. In translational studies, diagnostic biomarker tests are being trained from big data, clinical trials are being guided by molecular data sets and the power of artificial intelligence is being realized in data-driven cancer diagnosis.

Why Could this Impact Care?

We have demonstrated the power of data analytics to change physician behavior and improve patient care outcomes. An ASCO preliminary session featured a retrospective observational RWD study on NSCL that showed that patients who were not sequenced and therefore did not receive the benefit of immunotherapy, had poorer outcomes. Based on data analytics, physician behaviors shifted from a 40% utilization of sequencing to an 80% utilization per guideline [1].

[1]

Cross cohort aggregation and cross modality integration can enhance the robustness & depth of big data analytics potentially leading to better research (clinical trials matching example), diagnostics (predictive outcomes example) and the development of new therapies.

Sources:

1. Evaluation of outcomes in patients (pts) with stage 4 non-small cell lung cancer (NSCLC 4) harboring actionable oncogenic drivers (AOD) when treated prior to report of mutation without tyrosine kinase inhibitors (TKI): An Integra Connect Database (ICD) retrospective observational study