1. QIN-CBIIT Informatics Requirements for Clinical Decision Support and Precision Medicine QIN Meeting April 13-14 th 2051 Joint CBIIT QIN Meeting Session 9 Tuesday 15 th 1PM Larry Clarke, Bob Nordstrom, Yantian Zhang, George Redmond, Justin Kirby, John Freyman: CIP Edward Helton: CBIIT Jose Galvez: CBIIT

2. Rational for Joint Workshop (CBIIT-QIN)  Investigate the feasibility of engaging stakeholders from academic and industry to support an interoperable informatics research infrastructure for the evaluation of clinical decision support systems  Clinical, Digital Pathology, and Preclinical  The intent of the workshop is to seek input from all stakeholders  Explore the generation of a white paper that may help guide NCI and CBIIT future investments in imaging informatics

3. Clinical Decision Support: Precision Medicine Is Quantitative Imaging well positioned ? Clinical, Preclinical imaging, Digital Pathology

4. NCI : Significant Research Investments 1 QIN U01 (25) 1 2 3 4 5 6 Academic- Industrial Program R01’s R01 Applications 2 3 U24 Informatics Research Resources Open Source 4 5 International QIN Members NCI TCIA Image Archive CBIIT HUB Software Tools

5. NCI: Co-Clinical Trials-Mouse Models? 1 U24 Resource 1 2 3 4 5 6 Academic- Industrial Program R01’s R01 Applications 2 3 U24 Informatics Research Resources Open Source 4 5 International Members NCI TCIA Image Archive CBIIT HUB Software Tools

6. Initial Basis for Common Informatics Infrastructure Example: Quantitative Imaging Network (QIN) U24CA180918-02 Kikinis, Ron; Fedorov, Andriy Quantitative Image Informatics for Cancer Research (QIICR) U24CA180927-01A1 Rosen, Bruce R; Kalpathy-Cramer, Jayashree Informatics Tools for Optimized Imaging Biomarkers for Cancer Research & Discovery U24CA180924-01A1Saltz, Joel H. Tools to Analyze Morphology and Spatially Mapped Molecular Data U24CA194354-01Aerts, Hugo Informatics Quantitative Radiomics System Decoding the Tumor Phenotype Four projects use the 3D Slicer informatics platform to address complementary informatics requirements to evaluate software tools for the prediction and measurement of response to therapy, for both in vivo imaging and digital pathology, a critical mission of DCTD.

7. Rationale for Informatics Infrastructure?  Progress towards “precision medicine”  Imaging is well positioned to be integrated into clinical decision making?  Timely development of open science and open source informatics initiatives  ( QIN, ITCR), TCIA CBIIT HUB, Co-Clinical Trials, other  Community based initiatives:  RSNA AAPM-QIBA: Clinical Biomarkers  SPIE, AAPM, RSNA: Software Challenges  MICCIA: Clinical/Digital Pathology: Challenges  WMIC-AAPM: Co-clinical Trials: Challenges  NCI Cancers: Oncology Research Information Exchange Network ( Moffitt Cancer center)

8. Incentive: Academia and Industry  Academia:  Provide a means to evaluate their research software tools and clinical decision tools  Implement common methods for evaluations of tools to improve review at NCI study sections  Industry  Provide a means to collaborate with academia  Provide a pre-competitive space for industry to share metrology methods for tool evaluation  Collectively provide an open science informatics framework to submit their methods for FDA approval.

9. Current Informatics Initiatives  Quantitative Imaging Network: PAR U01 14-116  Academic Industry Partnerships (AIP R0I), PAR-13- 169,  Early Phase Clinical Trial in Imaging and imaging- Guided intervention, R01: PAR-14-166  Informatics Technology for Cancer Research (ITCR), PAR-12-286 & 287,R01, U24, NCI  NIH Big DATA initiatives, PA-14-154, -5, -6, -7  Oncology Models Forum  PAR 14-239, 241, 240