A First-in-Human Study of FID-022 in Solid Tumor Patients
AI-Driven Early Detection of Cachexia in Pancreatic Cancer and Feasibility of Diet and Exercise Interventions
H. Lee Moffitt Cancer Center and Research Institute
120 participants
Oct 8, 2025
OBSERVATIONAL
Conditions
Summary
This observational study aims to (1) validate a multimodal artificial intelligence (AI) model for early detection of cancer-associated cachexia in pancreatic cancer patients and (2) assess the feasibility and acceptability of diet and exercise interventions for cachexia management. The study will use retrospective data from the Florida Pancreas Collaborative and prospective data from newly diagnosed patients at Moffitt Cancer Center.
Eligibility
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
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Interventions
Dietary questionnaire (VioScreen), symptom and QoL surveys (ESAS-r, FAACT, PROMIS PF, PG-SGA), physical activity survey (Modified GLTEQ), functional fitness tests, DEXA scans, blood draws.
Wearable monitoring (Fitbit) and diet/physical activity preference survey at 9 months.
One-time structured survey assessing integration of diet and exercise interventions into clinical workflow.
Locations(1)
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NCT07249775