25 CMCI Supported Publications to Date

Since our inception in 2015, CMCI has seen an increase each year in the number of articles published.
To view a full list of titles published with links to the full articles, click here.

Since our inception in 2015, CMCI has seen an increase each year in the number of articles published.
To view a full list of titles published with links to the full articles, click here.
Where does a cell put it’s resources? CMCI participant and Department of Physics faculty member Andreas Vasdekis, and his research colleagues Hamdah Alanazi, Amrah Canul and Christopher Williams published a study in the journal Nature Communications. They introduce a new imaging technique to record how a single cell allocates its resources between the production of…
This news article was written by Kathy Foss, Marketing and Communications Manager for the College of Letters, Arts and Social Sciences. Drs. Florian Justwan and Bert Baumgaertner are active CMCI faculty participants and part of the Social-Epi working group. MOSCOW, Idaho — Aug. 28, 2019 — People skeptical of the medical establishment who live close to…
This article was written by Leigh Cooper in University of Idaho Communications and Marketing. View the original article here. While IMCI was not involved in the funding of this research project, we are are thrilled to count Dr. Ryan Long as one of our participating faculty. MOSCOW, Idaho – October 17, 2019 – A University…
The cover of Science Magazine currently features an important discovery made by an international research team: deep-sea fish can see more than just one color. When a Switzerland- and Australia-based research team recently needed to validate their findings regarding what colors of light a deep-sea fish species could see at up to 1500 meters below…
The CMCI Reproducibility in Sciences working group, or SciRep for short, has been meeting since the fall of 2015. Today, their most recent publication, “Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity,” was published in PLOS ONE. Congratulations! The American Council on Science and Health also picked up the story with their…
Vakanski A, Ferguson JM, Lee S. Mathematical Modeling and Evaluation of Human Motions in Physical Therapy Using Mixture Density Neural Networks. J Physiother Phys Rehabil. 2016 Dec;1(4):118. Epub 2016 Oct 11. PMID: 28111643; PMCID: PMC5242735. https://pubmed.ncbi.nlm.nih.gov/28111643/