Open
to anybody with an thought
Microsoft for Startups Founders Hub brings folks, information and advantages collectively to assist founders at each stage resolve startup challenges. Enroll in minutes with no funding required.
The Microsoft for Startups Well being & Life Sciences crew goes to HLTH to attach our high startups in HLS to enterprise clients, producing alternatives for our startups, whereas enabling suppliers, payers, and life sciences firms to speed up innovation inside their organizations.
Our HLS crew is concentrated on figuring out high-potential, market-making startups that enhance affected person care and outcomes, scale back prices, and enhance workers and affected person satisfaction. As soon as recognized, we work carefully with these market makers, to make sure they’re enterprise prepared, with scalable expertise architectures and the wherewithal to implement and assist their options, as soon as deployed.
Forward of HLTH, we’ll be internet hosting a webinar to introduce the eight startups attending the occasion with us. It is going to be an excellent alternative to listen to a fast pitch from every of them, and reserve time at HLTH to satisfy in particular person.
The webinar is October 20, 9-10am PST. Please register right here to attend.
In case you are thinking about studying extra or organising a gathering instantly, contact our crew at mfshls@microsoft.com, or discover us at HLTH in assembly area #1067.
Featured at HLTH 2022
Run any utility in any surroundings with full safety and privateness, simplifying knowledge safety and compliance.
Activate state-of-the-art AI inside EMRs to ship correct and actionable medical indicators that catch life-threatening occasions early, leading to higher affected person well being outcomes.
Determine and triage assaults missed by conventional IT techniques by means of Fast Threat Discount (RRR) offering actionable steerage to stop related assaults sooner or later.
Have interaction sufferers throughout all digital touchpoints with pure language understanding, powered by voice and textual content capabilities.
Use robotic course of automation and APIs, synthetic intelligence, intuitive design, and no-code configurability to energy affected person consumption, pre-auth, referrals and scheduling.
Apply unsupervised AI to extract and summarize intelligence from affected person data in a federated, privacy-preserving method to diagnose circumstances and make predictions that may assist catch undiagnosed or miscoded sufferers.
Deploy digital stethoscopes (Feelix) that may auto-diagnose respiratory illnesses, with clinically validated diagnostic software program able to detecting respiratory illnesses in seconds.
Leverage laptop imaginative and prescient to remotely extract physiological indicators by analyzing a video feed of a person measuring wellness and stress.
