Modoluwamu Idowu
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Also affiliated: West Virginia University (2026); Tennessee Technological University (2026)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Modoluwamu Idowu's research focuses on animal nutrition and physiology, particularly investigating the impact of feed supplements and genetic factors on livestock performance and health. Idowu has published work exploring how direct-fed microbial supplements and specific dietary interventions affect the growth performance and ruminal microbiome of beef steers. Further research examines the metabolic and transcriptomic signatures associated with different growth phenotypes in cattle, including the effects of immune stimulation on peripheral blood mononuclear cells. Additionally, Idowu's work includes the development of machine learning models for predicting dry matter intake in beef cattle, utilizing techniques such as Gradient Boosting and MLOps for generalizable predictions.
Metrics
- Publications: 6
Selected Publications
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Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates (2026)
Collaboration Network
Top Collaborators
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
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