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Multidisciplinary Attendee Breakdown

Who should Attend/Sponsor:

Track 1: Next-Gen Therapies
Topic Areas
  • Engineered cell therapies: CAR-T/TCR/TIL/NK
  • Allogeneic/off-the-shelf & in-vivo cell therapies
  • Gene editing (CRISPR base/prime) & synthetic circuits
  • Tumor microenvironment: biomarkers & combination strategies
  • Personalized cancer vaccines & neoantigens
  • Antibody-drug conjugates (ADCs) & targeted modalities
  • RNA/oligo therapeutics: mRNA, siRNA, ASOs
  • In-vivo gene therapy & myeloid programming
  • CMC/GMP & scalable manufacturing/automation
  • Clinical translation: trial design, resistance, access & IP
Who Attends
  • Chief Medical Officers (CMO), Founders & Translational R&D Heads
  • Oncology & Hematology Clinicians
  • Immunology & Cell/Gene Therapy Scientists
  • Clinical Development & Operations Leaders
  • Manufacturing, CMC & Quality Executives
  • Regulatory, Safety & Pharmacovigilance Directors
  • Market Access, Reimbursement & Payer Executives
  • Business Development & Alliance Management
  • Venture & Innovation Investors & Business Strategy Execs
Who Should Sponsor
  • CGT/editing platforms & vector/LNP delivery
  • Cell processing, automation & CDMOs/CROs
  • Potency assays, single-cell analytics & release testing
  • GMP/MES/QMS/eBR software
  • Cold-chain & logistics
  • Regulatory/CMC & IP consultancies
  • ADC & antibody engineering platforms
  • Vaccine/neoantigen platforms
  • CDx/biomarker partners & trial networks
  • Patient support & access services
  • Clinical-stage biotechs & manufacturing innovation startups
Track 2: AI & Computational Medicine
Topic Areas
  • Foundation & multimodal models for medicine
  • Imaging AI: radiomics/radiogenomics, contrast-free & low-dose
  • Digital twins, predictive simulation & dose optimization
  • Clinical decision support in EHR: integration & guardrails
  • Real-world data pipelines & regulatory-grade RWE
  • AI for trial design/eligibility & adaptive studies
  • MLOps, governance, monitoring & safety
  • Privacy-preserving/federated learning & security
  • GenAI for molecules/proteins & target discovery
  • Interpretability & validation from prediction to in-vivo
Who Attends
  • Chief Digital & AI Officers (CDIO/CAIO)
  • Chief Information Officers (CIO/CTO/CMIO)
  • AI & Data Science Program Leads
  • Radiology, Pathology & Clinical Informatics Directors
  • Clinical Trial & RWE Strategy Executives
  • Biostatistics & Machine Learning Leads
  • Product, Engineering & MLOps Managers
  • Payer Analytics & Outcomes Research Heads
  • Digital Health Entrepreneurs & Innovation Leaders
  • Academic Researchers in AI/ML for Medicine
  • Investors & Corporate Strategy Executives
Who Should Sponsor
  • Cloud/GPU/accelerator providers
  • EHR/CDS & interoperability vendors
  • Imaging vendors, PACS/VNA & edge devices
  • Data platforms (FHIR/ETL/integration) & warehouses
  • Model governance/monitoring/audit tools
  • RWE/HEOR & trial analytics platforms
  • Security, privacy, consent & identity providers
  • Digital twin & simulation platforms
  • AI-for-biopharma discovery & lab automation
  • Annotation/curation & synthetic data providers
Track 3: Precision Diagnostics
Topic Areas
  • Early detection & screening: MCED value & false-positive management
  • MRD detection & monitoring: cfDNA, cfRNA, methylation, fragmentomics
  • Therapy guidance: ctDNA-guided switching & response assessment
  • Multi-omics liquid biopsy: exosomes/EVs, cfRNA & proteogenomics
  • Integration with imaging & clinical biomarkers
  • AI in diagnostics: assay design, interpretation & triage
  • Pre-analytics, standardization & assay optimization
  • Clinical validation, utility, coverage & reimbursement
  • Regulatory pathways for early detection & MRD assays
  • Population-scale screening & precision prevention
Who Attends
  • Oncology, Pathology & Laboratory Medicine Chairs
  • Clinical Diagnostics & Biomarker Development Leaders
  • Medical & Scientific Directors of CLIA/CAP Labs
  • Translational Science & Clinical Research Executives
  • Bioinformatics & Computational Genomics Leads
  • Payer & Health Technology Assessment (HTA) Leaders
  • Regulatory Affairs & Quality Assurance Executives
  • Diagnostics Business Development & Pharma Alliances
Who Should Sponsor
  • MCED, MRD & liquid biopsy platforms
  • Fragmentomics/methylation & cfRNA/EV technologies
  • Sequencing (short/long-read) & library/sample prep
  • AI diagnostics & decision-support software
  • Bioinformatics, LIS/LIMS & workflow automation
  • Reference labs & CLIA testing services
  • CDx co-development & clinical trial assay partners
  • Biobanking, pre-analytics & cold-chain
  • Standards/QA & proficiency testing
  • Reimbursement, market access & policy advisors
Track 4: Integrated Precision Medicine
Topic Areas
  • Data factory: integrating EHR, imaging, labs & genomics
  • Clinical-grade WGS/long-read & variant interpretation pipelines
  • Population biobanks to bedside: cutting VUS & accelerating discovery
  • Knowledgebases, curation & evidence frameworks
  • Newborn, carrier screening & pharmacogenomics programs
  • Learning health systems & regulatory-grade RWE
  • Implementation at scale: governance, privacy, consent & data rights
  • Reimbursement, payer partnerships & value-based models
  • Equity, access & community implementation
  • Precision aging & longevity: biomarkers, clocks, trials & digital endpoints
Who Attends
  • Chief Medical & Scientific Officers (CMO/CSO)
  • Chief Information, Innovation & Strategy Officers
  • Genomic Medicine & Genetic Counseling Program Leaders
  • Health-System Service Line & Implementation Executives
  • Data Architecture, Bioinformatics & LIMS/LIS Directors
  • Population Health & Precision Medicine Program Leads
  • Payers, Value-Based Care & Quality Executives
  • Geroscience & Longevity Research Leadership
Who Should Sponsor
  • EHR & interoperability platforms
  • Cloud data warehouses, analytics & data governance
  • WGS/WES & long-read testing partners
  • Variant knowledgebases, curation & interpretation tools
  • LIMS/LIS, data catalog/metadata & lineage
  • Consent, identity, privacy & security platforms
  • Payers & value-based care partners
  • Biobank/registry platforms & sample management
  • Implementation/change-management consultancies
  • Aging biomarkers, wearables & digital endpoint vendors
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