Gurugram, Haryana, India
๐๐ฏ๐๐ซ๐ฒ๐ญ๐ก๐ข๐ง๐ ๐๐๐จ๐ฎ๐ญ ๐ญ๐ก๐ ๐ฐ๐๐ฒ ๐ฐ๐โ๐ฏ๐ ๐๐๐๐ง ๐ฆ๐๐ง๐๐ ๐ข๐ง๐ ๐จ๐ฎ๐ซ ๐ก๐๐๐ฅ๐ญ๐ก ๐ฐ๐๐ฌ ๐๐๐ฌ๐ข๐ ๐ง๐๐ ๐๐จ๐ซ ๐ ๐๐ข๐ง๐ข๐ญ๐ ๐ฆ๐ข๐ง๐. medicine, as we know it, is a masterpiece of that constraint. centuries of compressing human biology into what a clinician could hold in their head, act on in a 12-minute window, and revisit four times a year. brilliant, given the limitation. the limitation was also always the ceiling. that ceiling is about to look very small. what weโre building isnโt a better hospital or a smarter wearable. itโs the infrastructure layer biology never hadโฆ and the problems inside it have never been touched. how do you maintain optimal health for entire populations without a human in the loop? what context does no sensor in the world collect yet, and what would you learn if it did? what does a biomarker actually mean when youโre reading it as a continuous signal instead of a quarterly snapshot? how do you eliminate cascading conditions when you stop treating them as separate failures of willpower and start solving them as a single system? these arenโt feature decisions. theyโre foundational questions. the kind that tend to define a field for decades. weโre a small team at the beginning of something that will be significantly larger than the healthcare system it quietly makes obsolete. if you build systems that learn or study biology with the precision of an engineer - letโs talk: [email protected]
autonomous biological infrastructure. interested in exploring answers to questions: + Can we run population health autonomously? + Can we sense biology no device captures yet? + Can we stream every biomarker as a continuous signal? signal me @ pranav(at)novobloom(.)com