NJAALAS
General Membership Meeting
Rutgers CABM Building ∙ 679 Hoes Lane W ∙ Piscataway ∙ January 20, 2026
5:30 PM
Light meal and social enrichment
6:00 PM
General Business Meeting
6:15 PM
Vendor spotlight (TBA)
6:30 PM
Keynote speaker
7:30 PM
Meeting conclusion
Jeetendra Eswaraka, BVSc, PhD, DACLAM, Dipl. ECLAMVice-President University-wide core services, University AV, Professor, NJMS-Pharmacology, Physiology and Neuroscience at Rutgers University
Matthew Keller, MBA, CMARAssistant Director, Business Operations and Animal Facilities at Rutgers University
Digitalization of Animal Care Operations and Welfare Through Home Cage Monitoring
The adoption of digital caging systems is redefining in vivo rodent research by improving data accuracy, operational efficiency, and animal welfare. Traditional methods relying on manual observations and intermittent measurements often introduce variability and limit translational insights. AI-driven continuous monitoring provides real-time, high-resolution data on rodent behavior, physiology, and cage conditions, enhancing study reproducibility and predictive power. Digital caging systems also streamline program operations and improve animal welfare through closer monitoring, ultimately facilitating better data collection.
General Membership Meeting
Rutgers CABM Building ∙ 679 Hoes Lane W ∙ Piscataway ∙ January 20, 2026
5:30 PM
Light meal and social enrichment
6:00 PM
General Business Meeting
6:15 PM
Vendor spotlight (TBA)
6:30 PM
Keynote speaker
7:30 PM
Meeting conclusion
Jeetendra Eswaraka, BVSc, PhD, DACLAM, Dipl. ECLAMVice-President University-wide core services, University AV, Professor, NJMS-Pharmacology, Physiology and Neuroscience at Rutgers University
Matthew Keller, MBA, CMARAssistant Director, Business Operations and Animal Facilities at Rutgers University
Digitalization of Animal Care Operations and Welfare Through Home Cage Monitoring
The adoption of digital caging systems is redefining in vivo rodent research by improving data accuracy, operational efficiency, and animal welfare. Traditional methods relying on manual observations and intermittent measurements often introduce variability and limit translational insights. AI-driven continuous monitoring provides real-time, high-resolution data on rodent behavior, physiology, and cage conditions, enhancing study reproducibility and predictive power. Digital caging systems also streamline program operations and improve animal welfare through closer monitoring, ultimately facilitating better data collection.