The future, in the making
The ideas taking shape in our labs — what the evidence shows so far, and the questions still open.
How we write — our editorial standards
Latest articles
July 20, 20263 min read
Why clinical AI needs data from the time between visits
Clinical AI is improving fast — but it learns and acts on data captured in episodes: a visit, a scan, a night in a lab. The patient between those episodes is largely invisible. Continuous textile sensing is one way that in-between patient could become visible.
July 20, 20263 min read
From episodic therapy to continuous rehabilitation
Recovery is measured in clinic visits, but it happens in the hours in between — the therapy skipped, the plateau, the small daily gains no one records. Textile stimulation and sensing could make rehabilitation continuous, and close the loop between measuring and treating.
The evidence behind the ideas
Review the peer-reviewed research behind these perspectives — or talk to the team building a new class of technology.