Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model
Maini, P
Browning, A
Crossley, R
Villa, C
Jenner, A
Cassidy, T
Hamis, S
PLoS Computational Biology
Matrix-Weighted Networks for Modeling Multidimensional Dynamics: Theoretical Foundations and Applications to Network Coherence
Tian, Y
Kojaku, S
Sayama, H
Lambiotte, R
Physical Review Letters
volume 134
issue 23
(13 Jun 2025)
A Bayesian mixture model for Poisson network autoregression
Reinert, G
Hung, E
Mantziou, A
Social Network Analysis and Mining
Towards a flat space Carrollian hologram from AdS 4 /CFT 3
Lipstein, A
Ruzziconi, R
Srikant, A
Journal of High Energy Physics
volume 2025
issue 6
(09 Jun 2025)
Local resonance of mechanosensitive channels
Qi, B
Lin, S
Guo, Y
Feng, L
Su, L
Liu, Y
Goriely, A
Lu, T
Liu, S
Journal of the Mechanics and Physics of Solids
volume 203
(17 Jun 2025)
Applying population mechanistic modelling to find determinants of chimeric antigen receptor T-cells dynamics in month-one lymphoma patients
Brown, L
McConnell, M
Rosler, R
Peiser, L
Schmidt, B
Ratushny, A
Gaffney, E
Coles, M
Immunotherapy Advances
volume 5
issue 1
(09 Jun 2025)
A new study uncovers a surprising connection between sliding droplets and migrating groups of cells. By combining live 3D imaging with mathematical modelling, scientists have revealed how cell collectives organise themselves in space and time, which depends on the cell collectives behaving like fluids.