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Slides, papers, and tools shared by speakers after their talks: everything you need to keep exploring a topic once the session ends.

Shared with each speaker's permission. Not every talk has materials up yet: some speakers are still sending things over, and we add them as they arrive.

Dr Naveed Ishaque

"Making sense of cells in space: challenges in interpreting spatial transcriptomics data" · 7 July 2026

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Owen Queen

"Accelerating biomedical discovery with agentic AI" · 9 June 2026

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Dr Marton Olbei

"Cytokine networks: a systems perspective on immune regulation" · 28 April 2026

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Dr Claire Dunican

"Predicting trajectories of acute illness using RNA velocity of whole blood" · 3 March 2026

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Dr Naveed Ishaque

"Making sense of cells in space: challenges in interpreting spatial transcriptomics data"

Recommended reading

Tools mentioned

  • SSAM An early cell-segmentation-free analysis tool that generates cell-type maps. Not fast enough for current technologies.
  • Sainsc An improved, faster cell-segmentation-free analysis tool from the same group.
  • FICTURE Another cell-segmentation-free tool, focused on gene expression programs and factors rather than cell typing.
  • ovrl.py Detects cell overlap signals (vertical doublets) in spatial transcriptomics data.
  • CellAdMix Identifies and corrects transcript misassignment.
  • SPLIT Improves transcript assignment to cells by resolving mixed signals.
  • SpatialLeiden The spatial extension of the popular Leiden algorithm. Familiar and fast.
  • CellCharter A high-performing spatial clustering tool.

Owen Queen

"Accelerating biomedical discovery with agentic AI"

Papers from these slides

Related papers

Dr Marton Olbei

"Cytokine networks: a systems perspective on immune regulation"

Recommended reading

Dr Claire Dunican

"Predicting trajectories of acute illness using RNA velocity of whole blood"

Recommended reading