On diabetic foot, wound healing, amputation prevention, and the merger of consumer tech with medical devices
A new formative study of an in-home full-color imaging scale offers a glimpse of the Foot Selfie’s next chapter—from early home plantar photography and smartphones to AI, co-creation, and ambient monitoring.
A new 28-item core descriptor set gives diabetes-related foot-ulcer studies a common baseline language—so treatments can be compared more fairly and evidence can travel farther.
In 1,052 patients with diabetic foot ulcers, ten inflammation- and nutrition-derived ratios from routine labs tracked with amputation — and a machine-learning model combining them reached an AUC of 0.894. A cheap blood draw may help forecast which limbs are at risk.
Every one of us has quoted a healing rate. In clinic, in a grant, in a talk, in a conversation with a patient sitting on the exam table asking the only question that matters: will this close? Most of those quoted numbers came from the control arms of industry trials, which is a bit like... Continue Reading →
Now published in Surgery: one clinician used conversational AI to vibe-code three interactive data platforms (local, national, and global), translating 15 years of amputation evidence into public tools in under a week at essentially no cost.
Three new papers converge on a two-cent idea: the neutrophil percentage-to-albumin ratio (NPAR) measures the balance between inflammatory injury and nutritional reserve — tracking both how bad the diabetic foot is now and how the patient fares over years. Plus a clear-eyed look at why AI-driven precision nutrition isn't here yet, and what it will take.
Windy Cole and colleagues propose a master-protocol basket trial that borrows oncology's tissue-agnostic playbook for hard-to-heal wounds — testing a single mechanism-targeted therapy across diabetic foot and venous leg ulcers under one Bayesian, sham-controlled design. We've spent a decade framing the diabetic foot like cancer; here, the trial architecture grows up to match.
The World Cup isn't the only global tournament underway. Thanks to Anica Badanjak and Anela Novak's new Croatian translation, the IWGDF Guidelines now reach patients in a native language on every inhabited continent on Earth — every single one.
Two diabetic foot data engines published the same day on two continents. STEADY (US) is a 5,000-patient, AI-enabled real-world registry; DARE-DiaFoot (Italy) is a deep, multi-instrumental phenotyping protocol that quietly studies remission. One is the census, the other the core sample. Together with EURODIALE, the U.S. Wound Registry, and the National Diabetes Foot Care Audit, they sketch a blueprint for finally measuring what we manage.
A new paper in BMC Health Services Research describes how we co-created a Foot Selfie app with, not for, people living with diabetes, caregivers, and clinicians in urban Lima and semi-rural Piura, Peru. Here is how the end-users redesigned remote diabetic foot surveillance to fit the rooms where it actually happens.
