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Search / Trial NCT03452774

SYNERGY-AI: Artificial Intelligence Based Precision Oncology Clinical Trial Matching and Registry

Launched by MASSIVE BIO, INC. · Feb 24, 2018

Trial Information

Current as of June 26, 2025

Recruiting

Keywords

Artificial Intelligence Virtual Tumor Board Clinical Trial Clinical Trial Matching Electronic Medical Record Machine Learning Cost Of Care Targeted Therapy Immunotherapy Precision Medicine Precision Oncology Cancer Value Based Care Real World Data Data Analytics

ClinConnect Summary

The SYNERGY-AI trial is exploring how artificial intelligence (AI) can help match cancer patients with the most suitable clinical trials. This study focuses on patients with various types of advanced cancer, including those with solid tumors and blood cancers. By using a special program that analyzes genetic information and other tumor characteristics, the trial aims to improve how patients are connected to research studies that may offer new treatment options.

To participate, individuals must have specific cancer-related biomarkers that can be identified through tests done by their healthcare provider. Eligible participants can expect to be part of a process that helps them explore potential clinical trials tailored to their unique cancer profile. This trial is currently recruiting patients of all ages and genders, and it's important to note that some individuals may not qualify if they have serious health issues or are receiving hospice care. Through this study, researchers hope to enhance the understanding of how AI can support cancer treatment and improve outcomes for patients.

Gender

ALL

Eligibility criteria

  • Inclusion Criteria:
  • Pts with solid and hematological malignancies;
  • Pts cancer-related biomarkers, gene variants, fusion and rearrangements (by immunohistochemistry, PCR, FISH or NGS): PD-L1, MSI (MMR), Claudin18.2, HER2/Neu, Tumor mutational burden/load (TMB), ABL1, ACVR1B, AKT1, AKT2, AKT3, ALK, APC, AR, ATM, ATRX, AURKA, AURKB, BAP1, BCL2, BCL6, BRAF, BRCA1, BRCA2, BTK, CCND1, CCND2, CCND3, CDK4, CDK6, CDKN1A/B, CEBPA, CHEK1, CHEK2, CSF1R, CTNNB1, DAXX, DDR1/2, DNMT3A, EGFR, ERBB2, ERBB3, ERBB4, ERCC4, ER, ESR1, FANCA, FAS, FBXW7, FGFR1, FGFR2, FGFR3, FGFR4, FLT3, GATA3, GATA6, GNAS, HDAC1, HGF, HRAS, IDH1, IDH2, IGF1R, JAK1, JAK2, JAK3, KDR (VEGFR2), KIT, KRAS, MAP2K2 (MEK2), MAP3K1, MCL1, MDM2, MDM4, MEN1, MET, MSH2, MSH3, MSH6, MTOR, MUTYH, MYC, MYCL (MYCL1), NF1, NF2, NOTCH1, NPM1, NRAS, NTRK1, NTRK2, NTRK3, PALB2, PARP1, PARP2, PARP3, PBRM1, PDCD1 (PD1), PDCD1LG2 (PD-L2), PDGFRA, PDGFRB, PIK3C, PMS2, POLD1, POLE, PRDM1, PTCH1, PTEN, RAF1, RB1, RET, RICTOR, ROS1, RPTOR, SDHA/B/C, SMAD, SMARC, SMO, STK11, TGFBR2, TP53, TSC1, TSC2, VEGFA, VHL, WT1, ZNF217, ZNF703, CEACAM, NRG1, among others.
  • These biomarkers should be determined by local laboratory, external vendor, or next generation sequencing platform
  • Decision to consider clinical trial pre-screening enrollment (CTE) by primary provider and/or patient
  • Exclusion Criteria:
  • ECOG PS \> 2;
  • Abnormal organ function;
  • Hospice enrollment

About Massive Bio, Inc.

Massive Bio, Inc. is a pioneering biotechnology company dedicated to advancing precision medicine through innovative clinical trial solutions. With a focus on leveraging artificial intelligence and data analytics, Massive Bio aims to streamline patient recruitment and enhance trial efficiency in oncology and other therapeutic areas. Committed to improving patient outcomes, the company collaborates with healthcare providers, research institutions, and pharmaceutical partners to facilitate access to cutting-edge treatments and accelerate the drug development process. Through its comprehensive platform, Massive Bio enhances the clinical trial experience for patients and sponsors alike, driving the future of personalized healthcare.

Locations

New York, New York, United States

Patients applied

0 patients applied

Trial Officials

Selin Kurnaz, PhD

Principal Investigator

Massive Bio, Inc.

Timeline

First submit

Trial launched

Trial updated

Estimated completion

Not reported

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