The 平特五不中 initiative in Computational Medicine is pleased to announce the results of the fourth iteration of ResearchMatch. From the original 27 ResearchMatch applications received, 10 projects successfully found a collaborator within the 平特五不中 community and submitted a joint ResearchMatch proposal. These projects were peered reviewed by the MiCM committee and MiCM affiliated faculty members.
With help from partners; the 平特五不中 Interdisciplinary Initiative in Infection and Immunity and the 平特五不中 Faculty of Medicine, MiCM was able to fund 6 ResearchMatch projects.
Please join us in congratulating the recipients.
| Axis | Applicants | Title | Funded by |
|---|---|---|---|
|
Clinical research |
David Buckeridge & Yue Li |
Deep mining electronic health record data to guide COVID-19 care |
The 平特五不中 Interdisciplinary Initiative in Infection and Immunity/ 平特五不中 Initiative in Computational Medicine |
| Life Science research |
Anmar Khadra & Reza Sharif-Naeini |
Decoding the role of calcium homeostasis in controlling the spiking of spinal inhibitory neurons |
平特五不中 Initiative in Computational Medicine |
| Clinical research |
Stella S. Daskalopoulou & Erica E.M. Moodie |
A Novel Approach to Improve the Identification of Unstable Plaques and the Prediction of Strokes |
平特五不中 Initiative in Computational Medicine |
| Clinical research |
Abbas Sadikot & JB Poline |
Quantification and Reproducibility of Cerebellar Atrophy Patterns in an Essential Tremor Cohort |
平特五不中 Initiative in Computational Medicine |
| Life Science research |
Jorg Fritz & David Langlais |
Molecular mechanisms during allergic lung disease |
The 平特五不中 Interdisciplinary Initiative in Infection and Immunity/ 平特五不中 Initiative in Computational Medicine |
| Life Science research |
Gregory Fonseca & Amin Emad |
Transcription factor networks in circulating monocytes during active viral lung infection |
The 平特五不中 Interdisciplinary Initiative in Infection and Immunity/ 平特五不中 Initiative in Computational Medicine |
听
听 
听
