The opportunity for AI to improve health outcomes is massive. But what’s been missing is rigorous peer-reviewed studies showing AI used in practice. Today we published 3 studies in Nature Medicine that show for the first time ever how AI saves lives. bayesianhealth.com/sepsis-re…

At #AACR26, Suchi Saria, PhD (@suchisaria @JohnsHopkins), shared how real-time multimodal AI can transform care from reactive to proactive and individualized. Key takeaways: • AI enables proactive, evidence-based care at scale. • Real-time, multimodal data improves early detection. • Reducing alert fatigue is critical to improving care quality. • Adaptive models better support complex patient populations. • Embedding AI into clinical workflows is essential for impact. #MoffittAACR26

Big win for clinical AI. @bayesianhealth just landed the first-ever FDA clearance for continuous AI sepsis monitoring, watching patients in real time across the hospital to catch sepsis earlier. #AI #MedTech #Sepsis #DigitalHealth #PatientSafety prismmarketview.com/bayesian…

.@BayesianHealth gets #FDA nod for #AI #sepsis detection tool - Created by @JohnsHopkins University researchers, the early warning system for sepsis aims to help physicians detect the serious condition earlier. buff.ly/010zScm

Congrats to @suchisaria @HopkinsEngineer for being named to @BusinessInsider 2024 AI Power List! Recognized as one of the 100 most powerful people in AI, Saria is a trailblazer in health care innovation and is the founder and CEO of @bayesianhealth tinyurl.com/ycx4x6c6

I'll be chatting with @suchisaria of @bayesianhealth, @sethHain of Epic, and @peteratmsr of @Microsoft about "AI in Healthcare: The Opportunity Ahead" - Monday 5:15 pm, in the Colonial Room at #JPM2024. We'll cover the state of the state, regulatory landscape, and predictions and advice for healthcare execs re: healthcare AI as we head into the new year ahead. @a16zBioHealth

In the era where AI meets Health, navigating the regulatory framework is not just a compliance chore, but a gateway to trust and broader adoption. @suchisaria, Founder & CEO of @bayesianhealth, and @vijaypande, general partner of a16z Bio Health, break it down: 👉🏼 Embrace oversight! It's not a hurdle but a facilitator that ensures the safety and efficacy of AI applications, accelerating their adoption in healthcare. 👉🏼 The future is real-time. Building an infrastructure that collects and computes relevant data in real-time paves the way for actionable and intelligent healthcare solutions, transforming care delivery. 👉🏼 Beyond deployment, the journey continues. Continuous monitoring and real-time tuning of AI tools are pivotal to ensure they remain effective and safe amidst the ever-evolving healthcare landscape. Listen to the full episode on Bio Eats World: a16z.com/podcast/clinical-co…

📣 📣 2 new full stack data scientist and AI/ML engineer positions newly opened @bayesianhealth! We won TIME Best Inventions, Forbes AI50, World Economic Forum Tech Pioneer. Amazing team great purpose fun/hard AI problems. Apply! bayesianhealth.com/careers/

.@suchisaria joined @KBibbinsDomingo on @JAMANetwork's “AI and Clinical Practice” series, discussing how machine learning and big data can individualize patient care and save lives. Her AI-based sepsis detection tool is a TIME Best Invention of '23. Watch: jamanetwork.com/journals/jam…

🎉 🎉 🎉 @bayesianhealth selected to TIME Best Inventions 2023! Not going to lie… getting selected is awesome but what I love even more is how they characterize the impact. If you’re a backend / data / AI/ML engineer, and want to build AI copilots for doctors and nurses to improve care, apply. It’s an incredible mission, solid team, and a culture I’m proud of! time.com/collection/best-inv…

#HLTH2023 is around the corner & @medcitynews is ready with ENGAGE at HLTH patient engagement track on Sunday, Oct. 8 from 10 a.m.- 1 p.m. Hear from @AmazonHealthSVC's Sunita Mishra @generalcatalyst's @AlexandreMomeni and @Bayesianhealth's @suchisaria. Moderateor@ravindranize

Our Deputy Director is on the @HealthEvolution Connect main stage to discuss the future of AI in health care with Chris Ross @MayoClinic Dr. Suchi Saria @bayesianhealth & Phoebe Yang @commonspirit!

Dr. Gregg Nicandri of @URMC_DeptMed discusses the power AI to save lives from sepsis. His hospital system is partnering with @bayesianhealth to save lives and reduce hospital staff burnout. #sepsis #WorldSepsisDay #SepsisAwarenessMonth #NationalForumOnSepsis

#Invited 📢 Thrilled to announce 🤖 Suchi Saria's @suchisaria, @JohnsHopkins @BayesianHealth, invited talk🎙️at #IJCAI2023 🗓️ 25 Aug, 2PM 👉buff.ly/4791ZsF

1 in 3 nurses is leaving the workforce. AI can dramatically streamline healthcare workflow, meaning less admin work & better patient outcomes. We talked to top AI founders, including @suchisaria, about what they're building. Hear more in their words: a16z.com/ai

There’s been a lot of discussion around the need for guideline and rubrics for safe and responsible adoption of #AI in health. Today, the National Academy of Medicine launched this multi-year project and taskforce to address this challenge. “The Artificial Intelligence Code of Conduct (AICC) project is a pivotal initiative of the National Academy of Medicine (NAM), aimed at providing a guiding framework to ensure that AI algorithms and their application in health, medical care, and health research perform accurately, safely, reliably, and ethically in the service of better health for all. Stewarded by the NAM Leadership Consortium, the project will yield a pioneering AI Code of Conduct framework reflecting best practices to serve as a starting point of reference for follow-on testing, validation, monitoring, and continuous improvement.” In a sector like healthcare where mistakes can be costly, best practices are very helpful for accelerating adoption. It allows users to understand risk and invest in implementing new ideas more comfortably. It also gives federal agencies a blueprint to point to in guiding their own efforts. From the perch of the NAM, there is also an opportunity to align similar rubric development efforts across many grassroots and federal groups. You can subscribe in the link here to follow along! nam.edu/programs/value-scien…

If you’re a solid engineer w/ experience productionizing data products and you wanted to join grad school in AI/CS but didn’t get in, apply to work with @bayesianhealth * You’ll work on hard & important multimodal time series problems, * Leverage state of the art ideas and be coached to advance them, * You’ll have a cross-disciplinary team of experts to learn from and collaborate with * You’ll have access to large data and infra * You’d have me as your mentor I am confident you’ll learn as much and likely much more about AI as you might have learned in most labs. ** some candidates ask if we only use Bayesian techniques — no. The smartest decision makers integrate many types of data, think about how much to trust what, update their forecast in a principled way as new data arrives, and understand uncertainty; the company is named after this philosophy of reasoning. We have deep & broad AI expertise and as a result, use/design best in class techniques for the problems at hand.

Headed to our 3rd full team retreat at @bayesianhealth 🌵🏜️💃 There will be rap battles, iron chef, dance competition, pool games, an award night and loads of team bonding over 4 days. I remember 3 years ago struggling to understand how to build a company with a great culture. I feel so proud of where we’ve come. This team feels so much bigger than the sum of its parts — they’re individually brilliant but highly collaborative. We genuinely care to solve the problems we’re tackling and have a track record of getting stuff done. I hate BS and so we avoid it. And we’re working towards a mission that’s so rewarding, work feels like play! Come join us if you’re looking for opportunities. We are especially looking for super ML & data engineers and data products folks who want to use their superpowers to improve the way health care is delivered. Email careers AT @bayesianhealth.com