Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025Open Access

Modeling and Tracking of Heterogeneous Cell Populations via Open Multi-Agent Systems

View Full Paper
Ask AI
Bookmark
Share

Authors

ATAndrea TramaloniATAndrea TestaSASofia Avnet

Discussion

Loading...

Member takes

Overview

This algorithm models heterogeneous cell populations in co-culture, tracking cell dynamics and interactions effectively.

Key Points

  • The new algorithm tracks heterogeneous cell populations, capturing mitosis and interactions between cell types.
  • Performance metrics showed significant improvements over traditional methodologies in tracking dynamic cell behaviors.
  • Modeling utilizes open multi-agent systems to simulate movements and interactions in co-culture environments.
  • The dataset includes interactions between tumor cells and normal stromal cells, offering clinical relevance for cancer research.

Cite This Study

Tramaloni et al. (2025) studied this question.

synapsesocial.com/papers/68c194029b7b07f3a06189d4https://doi.org/10.1101/2025.09.02.673711
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Swarm Chemistry2008 · 98 citations
  2. 2Multicellular PI Control for Gene Regulation in Microbial Consortia2022 · 24 citations
  3. 3The Cell Tracking Challenge: 10 years of objective benchmarking2023 · 244 citations
  4. 4The Hungarian method for the assignment problem1955 · 13,042 citations