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The power of OvaPrint and novel multi modal methods for the detection of ovarian cancer

64 views | 3 months ago

At AGBT 2026, Dr Bodour Salhia PhD (USC Norris Comprehensive Cancer Center) presents the development and clinical validation of OvaPrint a cell-free DNA (cfDNA) methylation–based liquid biopsy designed...

Illumina CEO: Chasing Challenges & Transforming Global Health

1821 views | 3 months ago

A career chasing big challenges. An unexpected calling to shape global health. Our CEO shares the real story behind Illumina's strategy, what sets us apart, and the journey that brought him here. In...

Experience with the Illumina Spatial Technology (StrataMap™ Spatial Solution)

667 views | 3 months ago

Dr. Ioannis Vlachos of Harvard Medical School describes how the high sensitivity, broad coverage, and cellular resolution of Illumina StrataMap Spatial Solution has enabled spatial analysis of challenging...

Single-nucleus RNA-sequencing uncovers new mechanisms for cachexia in cancer

155 views | 3 months ago

In this video, you will see why muscle loss in pancreatic cancer is far more complex than previously understood. Using PIPseq single-nucleus RNA sequencing from Illumina, researchers mapped transcriptional...

ESHG insights: Emma Baple on bringing whole-genome sequencing into clinical research

223 views | 3 months ago

At the European Society Human Genetics 2026 conference in Gothenburg, Sweden, more than 6000 global leaders across research, healthcare, and industry came together to discuss the latest advances in...

Empowering Research, Enabling Discovery - Human Technopole National Facility for Genomics

180 views | 3 months ago

Behind every breakthrough in genomics stands a team committed to enabling others to succeed. In this video, Clelia Peano, Francesca Giannese, and Luca Rotta from Human Technopole National Facility for...

DRAGEN™ v4.5 | TruPath™ Genome: Phasing That Outperforms Long Reads

132 views | 3 months ago

Discover how Illumina TruPath Genome paired with DRAGEN v4.5 delivers phased variant calls that outperform long-read sequencing — phasing up to 98% of genes (HMW input) with phase blocks spanning millions...

DRAGEN™ v4.5 | Somatic Machine Learning Eliminating FFPE Noise Floor with 93% Fewer False Positives

127 views | 3 months ago

Eliminate FFPE noise with machine learning (ML). DRAGEN v4.5 introduces ML-driven somatic variant calling that reduces SNV false positives by 93% in FFPE benchmarks, with 5–20% lower FP+FN overall and...