Synthetic data is already being used to train diagnostic imaging models for rare conditions, simulate clinical pathology results without live trials, and build digital twins of individual livestock. Combined with AI applications across target identification, trial design, and manufacturing optimization, a new toolkit is emerging that could reshape how animal health products are developed.
This session explores animal health's structural edge over human pharma: lower regulatory burdens, faster trial cycles, rich real-world practice data, and the opportunity for synthetic data to ease the limitations of small, fragmented datasets that have held back AI adoption.
Time:
2:50pm-3:20pm
Agenda Track No.:
Track 8
Session Type:
General Session (Presentation)
Force Inline Description:
0