Project 458399

The CAnadian Mother-ChIld COLlaborative Training Platform - The CAMCCO-L Training Platform

458399

The CAnadian Mother-ChIld COLlaborative Training Platform - The CAMCCO-L Training Platform

$2,400,000
Abstract Summary

At present, no academic or ad-hoc programs give the required comprehensive and standardized perinatal epidemiology/pharmacoepidemiology, pharmacogenomics and toxicology training combined with adequate competence in novel artificial intelligence machine learning. Given the rapidly evolving paste of research in this field of study, such synergistic and trans-sectorial training is urgently needed. The CAnadian Mother-Child COLlaborative Training Platform - The CAMCCO-L Training Platform - will be developed. CAMCCO-L includes world renown researchers, knowledge users, and ECRs in the field of perinatal epidemiology, genetics, basic sciences, and AI from 10 Canadian universities and 7 provinces, and 3 universities from the US, France, and Australia that have a strong track record of curriculum development, and mentoring new promising students and early career researchers (ECR). Training will include translational and crosssectional training using web-based courses/webinars in French and English (to ensure sustainability of events) in perinatal toxicology, pharmacogenomics, epidemiology, interventional medicine, AI - to ensure that we reach ECRs and trainees in far away places and internationally. A Summer School will also be included. Further topics covered will include grant, manuscript writing and presentation skills; EDI; and real-world evidence access and analyses. One annual in-person meeting (the Canadian Perinatal Network Annual Meeting) will create a community of perinatal investigators/ECR/graduate students/trainees in Canada; and on-site 4 months training within any CAMCCO-L's PI's laboratories. Curriculum evaluation will be done within CAMCCO-L's core objectives. Furthermore, a CAMCCO-L Platform Advisory Committee will be formed to guide and monitor the progress of the training platform as well as its future directions. Sustainability will be ensured by our on-line courses, our partnerships with MITACs, SOGC and MICYRN.

No special research characteristics identified

This project does not include any of the advanced research characteristics tracked in our database.

Keywords
Artificial Intelligence Modelling Big Data Epidemiological Designs And Methods Perinatal Epidemiology Pharmacoepidemiology Pharmacogenomics Toxicology Transectorial Training Translational Training