ASTA’s announcement of its Physiological Pattern Learning Model was published by 182 news outlets across India on 2–3 October 2026.
Published as a press release. Monthly visits are each outlet's estimated total traffic, as reported by the distribution partner. They are not readership of this article.
The largest by estimated monthly visits, led by the one national English daily on the list.
Four parts, shortened from the announcement as published.
The Physiological Pattern Learning Model reads heart rate, SpO₂, blood pressure and respiratory rate as trajectories, looks for deterioration patterns, and forecasts each vital at +15 and +30 minutes with the uncertainty shown.
A camera faces the bedside monitor, not the patient. Computer vision turns the display into structured, time-stamped vitals with no proprietary API and no hardware connection.
One intelligence layer across monitored beds that captures vitals continuously, identifies meaningful change, and directs attention to the patients who need it most. Decision support: the doctor remains the decision-maker.
Built in Bengaluru by a founding team spanning medicine, AI and enterprise technology, with support from AIC-SEED, MeitY Startup Hub, IISER Pune and NIT Andhra Pradesh.
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