Day 1 explores how the latest innovations in next-generation sequencing are transforming speed, scale, accuracy and cost, and how new sequencing approaches unlock everything from population-scale studies to routine clinical use.

Day 2 focuses on advanced genome analysis, including peta-byte scale infrastructure and AI-driven variant interpretation

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09:00
  1. Innovation Stage
    30 mins
    Empowering genomic medicine by unifying chemical, protein, and single-cell data through multimodal AI  Elevating biological insight across scales, from molecular structure to cellular function  Transf …
09:30
  1. Innovation Stage
    30 mins
    Sponsored by N6
10:30
  1. Innovation Stage
    30 mins
    Data-driven health with lead to a healthcare for each individual focused on wellness and prevention that will replace our current focus on disease care.  The genome provides the source code for the po …
11:00
  1. Innovation Stage
    30 mins
11:30
  1. Innovation Stage
    30 mins
    Reflecting on two decades of progress in genomics and why the field is now at a pivotal inflection point  The shift toward multiomics, single-cell and spatial technologies, and the integration of AI-d …
12:00
  1. Innovation Stage
    30 mins
12:30
  1. Innovation Stage
    30 mins
    Discuss the evolution of sequencing technologies and describe opportunities and challenges for implementing long-read sequencing into clinical diagnostics.  Describe a comprehensive clinical workflow …
13:05
  1. Innovation Stage
    15 mins
    Sponsored by Single Cell Discoveries
13:20
  1. Innovation Stage
    15 mins
    Sponsored by Omega Bio-tek
13:35
  1. Innovation Stage
    15 mins
13:50
  1. Innovation Stage
    15 mins
14:10
  1. Innovation Stage
    30 mins
    Development of intra-operative molecular diagnosis based on copy number variation and methylation classification. Implementation of an online platform for data analysis. Expansion of the technology to …
14:40
  1. Innovation Stage
    30 mins
15:10
  1. Innovation Stage
    30 mins
    Application of genomic sequencing technologies is transforming drug target discovery and therapeutics development  Oxford Nanopore long read sequencing enables identification of patient-specific, dise …
16:10
  1. Innovation Stage
    30 mins
    Discuss scope and limitations of shot-read sequencing and highlight case examples where re-analysis with sophisticated tools may reveal novel diagnoses. Discuss scope and limitations of current use of …
16:40
  1. Innovation Stage
    30 mins
    Moving beyond gene-level expression to identify targetable RNA isoforms linked to early Alzheimer’s disease  Large-scale analysis of frontal cortex transcriptomes reveals isoform signatures that disti …
17:10
  1. Innovation Stage
    30 mins
    Which recent sequencing advances have most changed how we move discoveries from basic research toward practical applications?  How has improved resolution and scale in sequencing (like single-cell or …
09:45
  1. Innovation Stage
    30 mins
10:30
  1. Innovation Stage
    30 mins
11:00
  1. Innovation Stage
    30 mins
11:30
  1. Innovation Stage
    30 mins
    NGS platforms are suitable for different tasks depending on their read length, accuracy and throughput.   Orchestration of multiple NGS platforms on Biologics development balances speed, cost and perf …
12:00
  1. Innovation Stage
    30 mins
12:30
  1. Innovation Stage
    30 mins
    Big data problems affect teams of all sizes: From large international consortia like ICGC-ARGO coordinating 100,000+ patient genomes, to individuals in small labs generating terabytes of sequencing da …
14:00
  1. Innovation Stage
    30 mins
    Building the first language model for non-coding RNA and regulatory RNA logic  RNA facial recognition: compressing transcriptomes into images that reveal cell state 
15:00
  1. Innovation Stage
    30 mins
    Chemogenomics data was integrated from multiple sources.    Machine learning models were built to predict the polypharmacology (multi-target) profile of a given chemical structure