Osteoclasts emerging in inflammation are heterogeneous and encompass a strongly inflammatory subset with a high resorbing activity and an immune suppressive subset that are able to control each other.

Transcriptomic comparison of inflammatory and steady-state osteoclasts reveals differences in their ability to sense their environment, which makes it possible to selectively inhibit inflammatory osteoclastogenesis and reduce bone loss in osteoporosis.

Single-cell data analysis must be guided by an underlying model.

The mathematical model incorporating new parameters explains multimodal distributions in escape direction (i.e., multiple preferred escape trajectories), which are previously observed in various animal taxa.

Evidence for neuromodulatory control of flexibility in human neural models.

Cortical network model suggests a mechanism explaining the link between NMDAR synaptic and spike synchrony deficits observed in a pharmacological monkey model of prefrontal network failure in schizophrenia.

Integration of evolutionary dynamics framed through a mathematical model improved outcomes in abiraterone monotherapy for the treatment of metastatic castrate-resistant prostate cancer.

When mismatch repair is compromised heterozygous loss of Pol ε proofreading is sufficient to drive a subset of the observed clinical characteristics of Pol ε tumors.

Specialized fungal pathogen populations infect rice varieties with contrasting immune systems co-cultivated in a traditional agro-system, indicating the relevance of crop diversity to restricting epidemics in the landscape.

Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.