A curated index of articles, updates, events, and published work across single-cell research.
Nygen at Keystone Symposia Computational Advances in Drug Discovery in London, May 7 to 10, 2026. Short talk by Parashar Dhapola, CEO, on multi-agent AI for evidence-based cell type annotation.
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Meet Nygen at the Global Innovation Summit 2026 in Basel on May 6. Constance Beyer, Fractional CBO, will be on site for partnering conversations on single-cell analytics and AI for drug discovery.
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Meet Nygen at Swiss Biotech Day 2026 in Basel on May 4 and 5. Constance Beyer, Fractional CBO, will be on site for partnering conversations on single-cell analytics and AI for drug discovery.
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Nygen at the 25th BioPharma Drug Discovery Nexus in Zurich, April 29–30, 2026. Session with Parashar Dhapola on AI agents versus AI workflows for single-cell annotation at scale.
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Meet Nygen at the QIAGEN Agentic AI and Data Innovation Summit in Basel on April 22, 2026. Constance Beyer, Fractional CBO, will be on site for conversations on AI, knowledge graphs, and single-cell data for drug discovery.
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Parashar and Dylan discusses where AI truly delivers in biopharma, the persistent gaps in exploratory data analytics, and the critical bottlenecks in single-cell annotation. In a world abounding in AI hype, Parashar helps us cut through the noise and point out paths to data driven success.
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Why we rebuilt CyteType as a deterministic AI workflow instead of an agent, and why that distinction matters for production cell annotation pipelines.
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Running CyteType's AI agents across thousands of single-cell RNA-seq datasets in production exposed run-to-run variance, selective evidence gathering, and inconsistent depth. We rebuilt cell type annotation as a deterministic LLM workflow for reproducible, auditable results in drug discovery pipelines.
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A free, hands-on single-cell RNA-seq and multi-omics course. Learn to go from raw data to biologically interpretable results in under 3 hours using ScarfWeb.
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Discover how multi-omics integration is reshaping drug discovery by uncovering disease mechanisms, prioritizing drug targets, and connecting genomics, epigenomics, transcriptomics, proteomics, and metabolomics into a usable biological model.
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An updated guide to the most useful public single-cell RNA-seq databases in 2026, including archives, atlas portals, and domain-specific resources for data discovery and reuse.
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Fireside chat with Parashar Dhapola on building Nygen and how CyteType uses multi-agent AI for evidence-grounded cell annotation. Hosted by BIOTECH XYZ.
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Deep learning and agentic AI analysis of single-cell RNAseq data.
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Veronique Brault uses single-cell RNA-seq to study how DYRK1A gene dosage affects striatal development in Down syndrome and intellectual disability mouse models.
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