Drug & Diagnostic DevelopmentAugust 6-8, 2012 - Westin San Francisco on Market Street - San Francisco, CAOrganized by IBC Life Sciences

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Home» Drug & Diagnostic Development» Agendas» 2012 Conference Topics Outline

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August 06-08, 2012 · The Westin San Francisco Market Street · San Francisco, CA

2012 Conference Topics Outline

2012 Conference Topics Outline

  • Antibody Drug Development

    Antibody-Drug Conjugates
    Discovery, Development and Manufacturing

    • Optimizing ADC's in preclinical and clinical development
    • Novel ADC engineering and design
    • Target selection strategies and disease-associated targets for ADCs
    • Novel ADC payloads and creative payload delivery - toxins, cytokines, enzymes
    • Exploring novel chemistries, linkers and linker chemistry-stability
    • New ADC technologies beyond current approaches
    • Tumor antigen expression and the efficacy window of opportunity
    • ADC process development, scale-up and characterization
    • Purification of ADCs and "sticky" antibodies
    • Manufacturing technologies and challenges

    Empowered Antibodies & Bispecifics
    Strategies for Targeting and Optimizing Properties of Next-Generation Antibody Molecules

    • Target discovery: which targets will benefit from empowered antibodies?
    • Empowering the immune system and T-cell recruitment
    • Rationally-designed antibodies for specific targets and functions
    • Optimization strategies for bispecifics and multifunctional antibodies
    • Bispecific targeting and BiTE-like molecules
    • Clinical data on and performance of bispecifics - do they really work?
    • Biophysical stabilization and characterization approaches
    • Co-development of companion diagnostics for antibody products
    • Combination strategies for ADCs, bispecifics and other biotherapeutics
    • FDA guidance on combination of investigational agents
    • Whole antibody versus antibody fragment based bispecifics

    »Submit an Abstract to Present

  • Translating Biology to the Clinic

    Targeted Next-Gen Sequencing
    Concrete Applications and Strategies for Finding "Hot Spots" of Biological and Clinical Relevance

    • Applications of personal sequencers: PGM, MiSeq, GS Junior
    • Epigenomics and methylation analysis: Finding biomarkers for predictive and diagnostic use
    • Metagenomics: Sequencing of viral and bacterial populations
    • RNA-Seq/Transcriptome sequencing studies and applications
    • Expanding the exome: new sequencing approaches
    • Targeted sequencing/re-sequencing
    • Target enrichment strategies and genome partitioning
    • HLA and immune receptor repertoire sequencing
    • The emerging role of non-coding RNA's in disease
    • Clinical applications of next-generation sequencing
    • Sequencing data analysis, statistics and bioinformatics
    • Sequencing vs. arrays vs. other genomic technologies - which is better for routine projects?
    • New simplified sample preparation solutions

    Translating Biology and Technology
    Characterizing Disease Biology to Transform Clinical Medicine, Drug and Diagnostic Development

    • What level of biological understanding is necessary to inform the best therapeutic approach or to predict treatment outcomes?
    • Which technologies are best to reveal the biology for different diseases?
    • Elucidating the biological mechanism of the target/pathway for your drug
    • Novel technologies for characterizing disease to match biological targets with patient subgroups
    • How can next-generation sequencing technologies enable your drug discovery efforts?
    • Single cell and rare cell analysis technologies
    • Exploiting ips cells and stem cells for understanding disease biology and new drug screening
    • Assay development using human cells, tissues and tumors
    • Novel technologies for characterizing DNA, RNA and proteins
    • What is the FDA doing to accommodate the fast-paced evolution of technological advances from genomics to the clinic?

    »Submit an Abstract to Present

  • Diagnostic Development

    Rx/Dx Collaboration Models
    Aligning Business Models of Drug, Diagnostic and Technology Companies with Regulatory and Reimbursement Policies to Transform Medicine and Stimulate New Product Development

    • Strategies for building diagnostic capabilities to accelerate new product development
    • Emerging business/economic models for Rx/Dx collaboration or co-development
    • How to optimize a platform technology for clinical diagnostic use and/or reimbursement potential?
    • Success factors in Rx/Dx partnering to support commercial launch of a drug
    • Are current regulatory guidelines appropriate for co-development of therapeutics and diagnostics?
    • The case for and against Companion Dx test regulation: FDA-Approved vs. lab-developed tests
    • Reimbursement policies/strategies in the new era of Rx/Dx collaboration: Is there a workable model?
    • Aligning strategies for drug and diagnostic co-development in early planning and R&D
    • Where do the opportunities lie for future drug/diagnostic development?
    • Opportunities and challenges for drug developers
    • Opportunities and challenges for diagnostic companies and technology platform providers
    • Opportunities and challenges for payers and healthcare organizations
    • Opportunities and challenges for physician-scientists and their patients
    • Case studies of companion diagnostics in development or approved

    Future Clinical Diagnostics
    Enabling Technologies and Scientific Strategies

    • New developments in infectious disease diagnostics
    • New developments in cancer diagnostics
    • Sequencing applications for clinical diagnostics
    • Diagnostics for personalizing medicine/clinical treatment at the bedside
    • Strategies to inform biology-based clinical treatment decisions in patients
    • New technologies for finding diagnostic biomarkers
    • Impact of technology changes on clinical diagnostics and hospital practices
    • Evolving diagnostic technologies: from mass spec , microarrays and PCR to sequencing, hybrid selection techniques and exomes

    »Submit an Abstract to Present

  • Clinical Biomarkers and Cancer

    Clinically-Relevant Biomarkers
    Discovery and Validation for Clinical Use and Drug/Diagnostic Development

    • Exploiting biomarkers as clinical management tools or for drug or diagnostic development
    • What level of scientific evidence is required to prove clinical utility of a companion diagnostic biomarker for guiding therapy decisions or clinical trial strategy?
    • Positive-predictive biomarker discovery for finding responder patients
    • Exploiting blood-based biomarkers (CTC's, free DNA/RNA, exosome) for drug and diagnostic development
    • Biomarker assay development and translation to the clinic
    • Pharmacogenomic biomarkers for stratifying patient sub-groups
    • Technologies for enabling biomarkers for personalized medicine
    • The emerging role of non-coding RNA's in disease
    • Tumor and tissue-based biomarker panels
    • Epigenomics and methylation analysis: Finding biomarkers for predictive and diagnostic use

    New Frontiers in Cancer
    Translating an Understanding of Cancer Biology into Tailored Therapies and Novel Diagnostics

    • Strategies to predict and improve patient response to cancer drugs
    • Monitoring/anticipating drug resistance in cancer: new clinical strategies for disease therapy
    • Alternative strategies for tumor characterization/noninvasive approaches for accessing tumor cells
    • Tumor profiling strategies for precision medicine to characterize disease subtypes and patient populations
    • Disease heterogeneity: clinical implications of tumor heterogeneity
    • Deep sequencing strategies to characterize disease heterogeneity and to separate driver mutations from passenger mutations
    • Blood as a source of cancer biomarkers (CTC's, free DNA/RNA, exosome)
    • Epigenomics and methylation analysis: Finding biomarkers for predictive and diagnostic use
    • Combinations of multiple targeted agents for cancer
    • The emerging role of non-coding RNA's in disease
    • Functionalizing the cancer genome

    »Submit an Abstract to Present