Faculty profile
Pablo Valdes Donoso
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Université de Montréal directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Combining epidemiology and economics to assess control of a viral endemic animal disease: Porcine Reproductive and Respiratory Syndrome (PRRS).
PloS one · 2022 · first author
Latest funding
- $40,000
Using artificial intelligence to enhance animal health and production sustainability of livestock farming
NSERC · 2024 · Principal investigator
- $12,500
Using artificial intelligence to enhance animal health and production sustainability of livestock farming
NSERC · 2024 · Principal investigator
1 publications.
Combining epidemiology and economics to assess control of a viral endemic animal disease: Porcine Reproductive and Respiratory Syndrome (PRRS).
Valdes-Donoso P, Jarvis LS
Using artificial intelligence to enhance animal health and production sustainability of livestock farming
Principal investigators: Valdes Donoso, Pablo
Keywords: disease prediction; early disease detection; machine learning; artificial intelligence; epidemiology; animal health economics; precision livestock farming; sustainability of dairy production; produccion losses from dairy disease; benefits from controlling dairy disease
Using artificial intelligence to enhance animal health and production sustainability of livestock farming
Principal investigators: Valdes Donoso, Pablo
Keywords: disease prediction; early disease detection; machine learning; artificial intelligence; epidemiology; animal health economics; precision livestock farming; sustainability of dairy production; produccion losses from dairy disease; benefits from controlling dairy disease
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.