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Automating the Evaluation of Foot Posture for Early Identification of Injury-Risk in the Intact Limb of Individuals with Lower Limb Amputations (GRA-038)

Automating the Evaluation of Foot Posture for Early Identification of Injury-Risk in the Intact Limb of Individuals with Lower Limb Amputations is a documented award listed in the DePaul Resource Map (starting 2025). Funder: DePaul ↔ RFUMS partnership. DePaul PI Ilyas Ustun (CDM); RFUMS PI Noah Rosenblatt; Award $66,691; ML models to evaluate foot posture index for knee osteoarthritis risk in lower limb prosthesis users.

Summary ~

  • Sponsor / funder: DePaul ↔ RFUMS partnership
  • Program: AI in Biomedical Discovery and Healthcare
  • Status: awarded
  • Period: 2025 – —
  • Lead unit: Jarvis CDM
  • Amount: $66,691

Access (availability): 🟢 Green — open or routine · 🟡 Yellow — appointment or affiliation · 🔴 Red — restricted · ⚪/⚫ White/Black — not yet classified

Verification: ✓ confirmed · ~ likely · ? needs review · ✕ archived

Award details

  • Topics: healthcare, machine learning, prosthetics
  • Award type: research grant

DePaul PI Ilyas Ustun (CDM); RFUMS PI Noah Rosenblatt; Award $66,691; ML models to evaluate foot posture index for knee osteoarthritis risk in lower limb prosthesis users.

People

  • Ilyas Ustun (PI)
  • Noah Rosenblatt (Collaborator)

None documented.

No related outputs documented yet.

No related publications documented yet.

Verification

  • Status: ~ Likely current
  • Notes: 2025 RFUMS collaborative award; parent program GRA-029. No DePaul facility named in source.

Sources

Notes

Award metadata compiled from published DePaul research reporting. Listing here records documented activity; it is not an evaluation of the award, the people, or the unit.