Latest news with #GoogleCloudAI
Politico
4 days ago
- Business
- Politico
AI: A new lab partner in biotech
THE REGULATORS Biotech companies are using a new set of artificial intelligence products to hasten drug discovery and other scientific research, and they're energized by the Food and Drug Administration's apparent embrace of generative AI tools, said biotech leaders at a virtual Google Cloud AI roundtable Thursday. What they said: Generative AI tools can absorb some tedious work that scientists would normally perform, like extracting novel insights from large datasets, including scientific literature or the human genome, the latter of which could take 'thousands of years' to comb through manually, said Ben Mabey, chief technology officer at Recursion, a pharmaceutical company. 'We can have [generative AI] agents do that and save the really hard problems for humans,' he said. The remarks come as the FDA looks to universalize AI use in-house. Earlier this month, FDA Commissioner Marty Makary mandated the agency's divisions to use AI to conduct scientific reviews by the end of June. Mabey and other biotech executives, including Girish Naganathan, chief technology officer of glucose monitoring tech company Dexcom, said that's a good sign for health AI's future as the FDA looks to build a regulatory framework for the technology. Now, companies like Dexcom are 'engaged in providing feedback to and seeking input from the FDA as we take steps to incorporate gen-AI into our products,' Naganathan said. Artificial intelligence could help the FDA achieve other goals it set earlier this year, particularly one that aims to phase out animal testing with 'more effective, human-relevant methods,' Mabey said. 'We can replace [animals] with [AI] models that are more predictive, not just of the animals but of the humans we care about,' he said. 'It's a great North Star to work towards.' Why it matters: Biotech companies are sizing up the FDA's relationship with AI to understand how the agency might regulate those tools. Regulations will likely influence their bottom line and dictate, for example, how many hurdles a company must clear to bring a drug borne out of AI to market. WELCOME TO FUTURE PULSE This is where we explore the ideas and innovators shaping health care. Scientists have developed gene delivery 'trucks' that can target specific brain cells, which could lead to therapies for neurodegenerative diseases like Parkinson's and Alzheimer's, The Washington Post reports. Radiologists are skeptical about how well AI can detect and diagnose cancer, even as the Food and Drug Administration clears the technology to analyze mammograms and imaging centers adopt these programs, STAT reports. Share any thoughts, news, tips and feedback with Danny Nguyen at dnguyen@ Carmen Paun at cpaun@ Ruth Reader at rreader@ or Erin Schumaker at eschumaker@ Want to share a tip securely? Message us on Signal: Dannyn516.70, CarmenP.82, RuthReader.02 or ErinSchumaker.01. Researchers at the National Institutes of Health used machine learning to identify an early biomarker of aggressive breast cancer and help predict which patients could be at high risk of recurrence or death from the disease. The findings: The researchers used machine learning to detect minute changes in more than 9,000 samples of connective breast tissue, called stromal tissue, and found that significant abnormalities were associated with more aggressive forms of breast cancer and greater mortality, particularly in women with invasive forms of the disease. An analysis of the stromal tissue samples — from healthy women, women with benign breast disease and women diagnosed with invasive breast cancer — suggested that so-called disruptive tissue might be tied to common risk factors for aggressive breast cancer, such as being Black, obese or young. The study also found that significantly abnormal tissue was linked to higher risks of aggressive cancer and faster progression from benign breast disease to cancer than tissue with little to no stromal disruption. Those disruptions can be influenced by chronic inflammation and wound healing, but according to Dr. Mustapha Abubakar, one of the study authors, 'We don't know which one comes first: inflammation [and wound healing] or stromal disruptions.' It's also not yet clear how people can prevent stromal anomalies from occurring. Why it matters: The findings come as breast cancer incidence is rising in young women. A 2024 study by the American Cancer Society found that breast cancer incidence among women under 50 was increasing at 1.4 percent a year — about twice as fast compared with women older than 50. The disease is the second-leading cause of cancer death in women — only behind skin cancers. These findings, if replicable and transferable, could offer scientists a therapeutic target. It also gives women another reason to get biopsies, Abubakar said; stromal disruptions don't manifest in anything we can see with our naked eye and can only be detected under a microscope. It could take years for these findings to yield tangible impacts for women in clinical settings, Abubakar added. But scientists are moving faster than ever by using machine learning to identify patterns or anomalies in images of tissue, sequences of genomes and other data sets.
Associated Press
08-05-2025
- Business
- Associated Press
Pager Health Launches AI Wellness Agent for a Revolutionary Data-Driven Health and Wellbeing Experience
One-Size-Fits-One Agentic Program Expands New Standard for Wellbeing Engagement and Proactive Health Management with Full Clinical Care Integration NEW YORK, May 8, 2025 /PRNewswire/ -- Pager Health℠, a connected health platform company serving more than 26 million members in the United States and Latin America, today announced the launch of the AI Wellness Agent. It is Pager Health's newest virtual agent on the ReallyWell℠ platform, designed to remove friction that holds members back from fully gaining benefit from well-being programs. The AI Wellness Agent serves as a conversational, intelligent companion, eliminating clicks through multiple pages or tedious searches for information. It proactively routes members to personalized, high-value actions including health challenges, coaching enrollment, or health assessment completion, often in a single step. 'As our recent Consumer Experience Survey revealed, 76 percent of those surveyed said the quality of their member experience has a significant impact on the level of trust they have in their health plan,' said Rita Sharma, Chief Product Officer, Pager Health. 'ReallyWell and the AI Wellness Agent leverage optimization algorithms built on more than 15 years of data to achieve a level of personalization proven to increase engagement, improve outcomes and bend the cost and experience curve. That same personalized approach has already driven results. One of Pager Health's core services, which also leverages this model, recently earned a 91 NPS, highlighting the power of one-size-fits-one experiences in action.' Built on Google Cloud AI and advanced natural language processing, the agent interprets intent across a wide range of phrasing styles and continuously improves its accuracy through machine learning. The result is faster time-to-task, better program utilization, and a lower volume of members requiring service calls. The agent is already being used within Pager's ReallyWell platform, combining clinical support, wellness services and contextual navigation to other solutions included in the member's benefits. ReallyWell leverages generative AI to conduct deep-dive analyses of health assessments, device eligibility and biometric data, creating an unprecedented, one-size-fits-one personalized engagement experience for healthcare, with upcoming expansion across additional solutions. Unlike legacy chatbots or static menus, the agent understands natural, open-ended member requests and guides users through personalized wellness journeys. It can detect when someone needs help, whether that's a health program or an emergency intervention, and routes them accordingly. Importantly, it's designed with trust and compliance in mind. The agent includes emergency intent detection across 19 clinically validated scenarios, directing members to 911 or 988 when needed. These protocols are built using thousands of real member interactions and reviewed by clinical teams to ensure safe, responsible AI deployment. Pager Health has also implemented robust data rights protections, including client-specific data silos and full compliance with HIPAA and privacy standards. The AI Wellness Agent The AI Wellness Agent is part of a portfolio of AI-powered virtual agents within Pager's broader AI strategy. Pager's virtual agents and AI Skills span across member intake, clinical triage, provider navigation, benefits support, and care coordination, each designed to simplify complex healthcare journeys and improve operational efficiency. Pager's AI Directory includes: Together, these agents form an integrated ecosystem that supports members and care teams in real time. To learn more about how the AI Wellness Agent and ReallyWell's innovative capabilities are transforming the health and wellbeing experience, please visit About Pager Health Pager Health is a connected health platform company that enables healthcare enterprises to deliver high-engagement, intelligent health experiences across wellness, care navigation, and care management engagement. Through integrated technology, AI, and concierge services, our platform helps patients and members get the right care at the right time in the right place and stay healthy. By reducing system friction and fragmentation, powering engagement, and orchestrating the enterprise, Pager Health drives better outcomes at scale. We partner with leading payers, providers, and employers, representing more than 26 million individuals across the United States and Latin America. Media Contact: Chris Gale [email protected] View original content: SOURCE Pager Health
Technical.ly
06-05-2025
- Business
- Technical.ly
Lovelace AI, former Google exec's startup, lands a seed round to scale crisis-ready tech
A Pittsburgh startup is betting AI can help save lives in war zones and disaster sites — and it just landed a major investment to try and prove it. Lovelace AI, a Bakery Square-based company specializing in using AI to synthesize data for high-risk decisions, announced today it had closed a seed round led by New York firm RRE Ventures. The investment is a meaningful milestone in the company's journey, said founder Andrew Moore, the former general manager of Google Cloud AI and former dean of the School of Computer Science at Carnegie Mellon University, in a prepared statement. 'Can AI combined with careful mathematical statistics make sense of hopelessly complex situations quickly and accurately enough to keep humans safe?' Moore said. 'That's what the Lovelace team has been relentlessly working on, and with this new RRE partnership, we will be able to significantly accelerate.' The funds will be used to fuel product development, talent acquisition and deployment of Lovelace AI's core technology across both defense and commercial applications, according to the recent release. Lovelace AI did not disclose how much it raised. Moore founded the 2024 RealLIST Startup with the mission of using cutting-edge artificial intelligence and systems engineering to enhance human safety, particularly in high-risk situations like armed conflict, disaster response, counterterrorism and defense against hostile AI systems designed to target civilians. 'Lovelace AI is … solving one of the most fundamental bottlenecks in modern computing: the ability to synthesize data across environments at operational speed,' said Will Porteous, general partner and COO at RRE Ventures, in a prepared statement. RRE Ventures is an early-stage investor in tech-enabled companies across a range of industries, with a portfolio that includes well-known names like BuzzFeed, Venmo and Business Insider. Lovelace AI did not immediately respond to request for comment. Early Pittsburgh Googlers branch out on their own VCs are gravitating toward AI investments in Pittsburgh, pouring hundreds of millions into local companies. Lovelace AI's latest news shows it's reaping the benefits of that, too. The company emerged from stealth mode in 2023 and has already made big strides in the Pittsburgh tech scene. In October, it was recognized as one of the local startups that will get access to Nvidia tech for product development as a part of the 'Nvidia AI Tech Community.' Plus, it's known as one of the high-potential companies that make up 'AI Avenue' in Bakery Square. Moore has been a staple in the region for decades. In 2006, he led Google's first Pittsburgh office. Some Googlers followed Moore to Lovelace AI, like Cofounder and Head of Engineering Toby Smith, Director of Operations Matthew Houy and several engineers. While Moore has previously acknowledged the harms that could come from the mistreatment of AI, his ambitious vision for Lovelace AI sees it as a tool that could ultimately help humanity, he said. 'We've kind of got ourselves into a corner with a bunch of really serious problems and we need every tool that we actually can to help us get out of it,' Moore said at an event last year, 'and I see thoughtful use of massive automation as something which is a tool on the plus side of healthcare problems.'
Yahoo
13-02-2025
- Business
- Yahoo
Edge AI Hardware Market to Reach USD 6.90 Billion by 2032, Driven By Advancements in AI and Edge Computing
The Edge AI Hardware Market is expanding with demand for real-time processing in IoT, automation, and smart devices, driven by advancements in AI and edge computing. Austin, Feb. 13, 2025 (GLOBE NEWSWIRE) -- Edge AI Hardware Market Size & Growth Insights: According to the SNS Insider, 'The Edge AI Hardware Market is expected to rise from USD 1.27 billion in 2023 to USD 6.90 billion by 2032, growing at a CAGR of 20.7% from 2024 to 2032.' The Edge AI hardware market has witnessed substantial growth in a constant escalation in artificial intelligence technology and the demand for real-time data processing continues to take place at the edge. For instance, due to the increasing demand for low-latency, high-performance computing solutions, companies are heavily investing in edge AI hardware to facilitate IoT applications, including autonomous vehicles, smart cities, and industrial automation. Moreover, the rollout of 5G is leading to more widespread adoption of edge AI hardware because faster data transmission speeds and lower latency are important for many edge AI applications. Consequently, the global edge AI hardware market is forecasted to increase significantly in the forthcoming years as companies strive to utilize artificial intelligence near the data source. The growing demands in this market are being supposed by the leading market players providing cutting-edge solutions which include NVIDIA, Intel, Qualcomm, Huawei, IBM. Get a Sample Report of Edge AI Hardware Market Forecast @ Leading Market Players with their Product Listed in this Report are: NVIDIA Corporation (Graphics Processing Units, AI Accelerators) Google (Alphabet Inc.) (Edge TPU, Google Cloud AI) Intel Corporation (Xeon Processors, Movidius AI Chips) Huawei Technologies Co., Ltd. (Ascend AI Processors, Kirin Chips) Apple Inc. (A-Series Chips, Neural Engine) Qualcomm Incorporated (Snapdragon Processors, AI Engine) Samsung Electronics Co., Ltd. (Exynos Chips, AI Hardware) IBM Corporation (Power AI, IBM Edge Computing Solutions) Dell Technologies Inc. (Edge Computing Servers, VxRail Systems) Microsoft Corporation (Azure AI, Azure Percept) ARM (Cortex-A Processors, AI Edge Processors) Hailo (Hailo-8 AI Processor) MediaTek Inc. (Dimensity AI Chips) Xilinx Inc. (Versal AI Acceleration, FPGAs) Micron Technology (Memory and Storage Solutions for AI). Edge AI Hardware Market Report Scope: Report Attributes Details Market Size in 2023 USD 2.78 Billion Market Size by 2032 USD 14.62 Billion CAGR CAGR of 20.25% From 2024 to 2032 Report Scope & Coverage Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook Key Segmentation • By Processor(CPU, GPU, FPGA ,ASICs)• By Devices(Smartphones, Cameras, Robots, Wearables, Smart Speaker, Other Devices)• By End Use Industry(Government, Real Estate, Consumer Electronics, Automotive, Transportation, Healthcare, Manufacturing, Others) Key Drivers • Incredible Growth of Edge AI Hardware Market Driven by Low-Latency Demand in Virtual Reality. Do you Have any Specific Queries or Need any Customize Research on Edge AI Hardware Market, Request for Analyst Call @ By Processor, CPU Dominating and GPU Fastest Growing In 2023, the CPU segment led the Edge AI Hardware market, accounting for 54% of the revenue, driven to the fact that CPUs offer a level of flexibility and generalization that is desirable for many different applications ranging from smartphones to industrial IoT devices. CPUs play a crucial role in data processing and algorithm execution, which allows edge AI systems to efficiently process complex workloads. The GPU segment is the fastest growing over the forecast period over the forecast period 2024-2032 due to its capability for parallel processing, making it ideal for data-intensive tasks like deep learning and image processing. As AI, models grow in size and data demands, GPUs are becoming essential for training and inference, particularly for applications that require low latency and real-time decision-making, such as robots, autonomous vehicles, and cameras, thus driving their adoption in edge AI systems. By Device, Camera Dominating and Smartphone Fastest Growing In 2023, the camera segment holds the largest share of the Edge AI hardware market at 35%, driven by its critical role in applications like CCTV, ADAS, and robotics where visual data processing requires instant results. The advent of AI-enabled imaging at the edge through AI image recognition/object recognition has led to the rise of cameras on edge AI hardware for further smart decision-making and situational awareness. The smartphone segment is the fastest growing, projected to expand significantly from 2024 to 2032. The expansion stems from the fact that smartphones are increasingly incorporating AI capabilities like Face ID, AR features, and voice assistants. The AI-enabled mobile chips and mobile processors enable smartphones to run AI tasks on the device itself and not rely on cloud computing. Purchase Single User PDF of Edge AI Hardware Market Report (33% Discount) @ Market Dominance and Growth Projections in the Edge AI Hardware Market: Asia-Pacific and North America The Asia-Pacific region is expected to dominate the Edge AI hardware market, accounting for 43% of the market share in 2023. The reason is the increasing pace of technological advancements in countries such as China, Japan, South Korea, and India, which has made heavy investments in AI, robots, and IoT. China's heavy investment in edge computing infrastructure and AI chip fabrication play a large role in the global AI ecosystem. Add this to the region's broad application of AI in the healthcare, automotive, and industrial sectors, and growth becomes on double speed. North America is projected to see the fastest growth from 2024 to 2032, as innovations arise from the USA (the home of the best chip manufacturers, including NVIDIA, Intel, and Google) as well as the high deployment of AI in the automotive and enterprise solutions. Table of Contents - Major Points 1. Introduction 2. Executive Summary 3. Research Methodology 4. Market Dynamics Impact Analysis 5. Statistical Insights and Trends Reporting 5.1 Customer Adoption and Use Cases 5.2 Supply Chain Data 5.3 Power Consumption and Efficiency Metrics 6. Competitive Landscape 7. Edge AI Hardware Market Segmentation, by Processor 8. Edge AI Hardware Market Segmentation, by Device 9. Edge AI Hardware Market Segmentation, by End Use Industry 10. Regional Analysis 11. Company Profiles 12. Use Cases and Best Practices 13. Conclusion Access More Research Insights of Edge AI Hardware Market Growth & Outlook Report 2024-2032@ [For more information or need any customization research mail us at info@ About Us: SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world. CONTACT: Contact Us: Jagney Dave - Vice President of Client Engagement Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)
