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    Empowering the Fight Against Cancer

    Cancer continues to impact millions of lives worldwide, affecting patients, families, and communities alike. This World Cancer Day 2026, Excelra reinforces its commitment to advancing cancer research through data-driven intelligence, AI-powered analytics, and collaborative innovation.

    World_Cancer_Day
    Age-standardised rates for all cancers combined (2022)
    Reference- https://gco.iarc.who.int/media/globocan/factsheets/populations/900-world-fact-sheet.pdf

    Our data-driven approach and expertise in life sciences have empowered researchers globally to accelerate discoveries and improve patient outcomes. Discover how Excelra has partnered with leading pharma and biotech companies to advance cancer research.

    Whitepaper

    Power of AI/ML in Medical Imaging: Role in Cancer Diagnosis & treatment

    The integration of Artificial Intelligence (AI) and Machine Learning (ML) into medical image analysis has transformed the landscape of cancer diagnosis and treatment. AI and ML technologies enhance the accuracy and efficiency of cancer detection, diagnosis, and treatment planning. 

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      Enhanced Early Detection
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      Personalized Treatment Plans
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      Accurate Tumor Characterization
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      Optimized Treatment Monitoring
    Whitepaper- Power of AI/ML in Medical Imaging

    GOSTAR® Coverage:

    erb-b2 receptor tyrosine kinase 2 (ERBB2/HER2) — A Key Target in Cancer Treatment

    51,125

    Unique Molecules

    86,790

    Structure-Activity Relationships

    4,477

    Documents

    Real-world Impact: Success Stories

    5 impactful case studies demonstrating Excelra's contributions to cancer research

    Bioinformatics Pipeline

    Bioinformatics Pipeline Development

    Develop and implement robust data-specific pipelines while providing bioinformatics support to advance Computational Oncology research.

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    MDM2 Inhibitors

    Data Compendium for MDM2 Inhibitors

    To curate information on MDM2 inhibitors including clinical candidates and pre-clinical compounds with description of models.

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    Target Profiling

    Advanced Target Profiling in Cancer

    Using spatial transcriptomics and scRNA-seq, we analyzed tumor gene expression to reveal the target gene's impact on neighboring cells in the TME.

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    RNA Seq Analysis

    RNA-Seq Analysis of PDX samples

    To conduct extensive analysis of RNA-Seq data to derive useful biological insights from the PDX cancer models.

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    Tumor Enriched Target Identification

    To Perform Tumor Enriched Target Identification.

    Collect and integrate public datasets for SCLC and OC to identify targets, prioritize them, and conduct lineage studies.

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    Enabling Cancer Cohort Data Analysis

    Integrate real-world evidence and somatic testing data to enable scalable cancer cohort analysis.

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    Together, we can transform the future of cancer research.

    Let's empower your research with insights, resources, and tools that drive impactful cancer discoveries. 

    Fill out the form to learn more or explore collaboration opportunities—we’d love to connect!

    Email: marketing@excelra.com