Neuroscience×In vitro
This pair ranks in the top 0.5% of every collision candidate in the corpus. Across held-out years, pairs scoring that well went on to co-publish at 8.2× the base rate, typically within 3 years.
The Frontier Brief for this collision is still being written. The evidence below already reflects the current model run.
Pre-company space. No named players have staked this collision yet — an emerging pairing where the field, not a firm, is the story so far.
35 researchers publish on both sides of this collision without the fields themselves having met. Every name below is counted from papers in the corpus — not inferred.
- Donald E. IngberWyss Institute for Biologically Inspired Engineering3/2
- Hans C. CleversLustgarten Foundation2/2
- Maximilian A. BenzWyss Institute for Biologically Inspired Engineering1/2
- Meritxell HuchCancer Research UK2/1
- Olivier HenryWyss Institute for Biologically Inspired Engineering1/2
- Matthias P. LütolfUniversity Hospital of Basel2/1
- Rizwan Hasan KhanJamia Millia Islamia1/2
- Lijie Grace ZhangWashington University Medical Center1/1
- Syed Mohammad ZakariyaJamia Millia Islamia1/1
- Michael C. McAlpineAdvanced Materials and BioEngineering Research1/1
- Harvard UniversityUS223/18
- ETH ZurichCH111/8
- Centre National de la Recherche ScientifiqueFR91/7
- University of CambridgeGB90/7
- Howard Hughes Medical InstituteUS187/3
- Chinese Academy of SciencesCN74/7
- Hypoxia-enhanced Blood-Brain Barrier Chip recapitulates human barrier function and shuttling of drugs and antibodies2019 · 594 citations · DOI ↗1
- Protein misfolding, aggregation and mechanism of amyloid cytotoxicity: An overview and therapeutic strategies to inhibit aggregation2019 · 129 citations · DOI ↗1
- 3D Cardiac Cell Culture: A Critical Review of Current Technologies and Applications2019 · 170 citations · DOI ↗4
- 3D bioprinting of high cell-density heterogeneous tissue models through spheroid fusion within self-healing hydrogels2021 · 465 citations · DOI ↗3
Counted from the corpus. Institution counts use best-effort affiliation (every author on a paper is paired with every institution on it), so read them as presence, not headcount.
A premium Deep-Dive is being generated for this collision — check back soon.