logo
AI specialist Recursion trims pipeline in latest shakeup

AI specialist Recursion trims pipeline in latest shakeup

Yahoo06-05-2025

This story was originally published on BioPharma Dive. To receive daily news and insights, subscribe to our free daily BioPharma Dive newsletter.
AI drug discovery specialist Recursion Pharmaceuticals is shelving three of its most advanced drug prospects in an effort to cut costs following a merger last year.
Alongside its latest quarterly earnings report, the company revealed plans to halt development of drugs for cerebral cavernous malformation and neurofibromatosis type II that were in mid-stage testing. Recursion will also pause testing and attempt to license out a therapy it's been advancing for C. difficile infections.
The decisions reflect Recursion's plan to focus on 'areas of high unmet need where we believe we can have the greatest impact,' said Najat Khan, the company's chief R&D officer and chief commercial officer, in a statement.
Following a merger with fellow AI biotech Exscientia last year, the company has been 'proactively streamlining' its operations and 'making deliberate tradeoffs' to focus resources on its most impactful programs, Khan added.
Four years ago, Recursion raised $436 million in one of the biotech sector's most lucrative initial public offerings. The company secured those funds on the promise of AI, which is seen by proponents as a way to speed up drug discovery and increase its odds of success. And in combining with Exscientia in 2024, Recursion touted a sprawling pipeline that would produce 10 near-term clinical readouts and had the potential to deliver multiple blockbusters.
The company hasn't yet fulfilled its promise, though. Early clinical data for its treatment for cerebral cavernous malformation disappointed investors and, according to the company's statement Monday, the 'totality' of the results accrued since then led it to stop testing. The neurofibromatosis type II therapy is being scrapped for similar reasons, while a changing treatment landscape has reduced the need for the C. difficile drug it's been developing.
To Mani Foroohar, an analyst with Leerink Partners, the pipeline cuts were 'inevitable' given the company's 'unsustainable cash burn.' The company booked a roughly $464 million net loss in 2024, following a $328 million net loss the year prior. It had $509 million in cash as of the end of March.
Foroohar added in a research note Monday that Phase 2 data the company released Sunday in a condition that causes the growth of potentially dangerous polyps were 'hard to interpret.' The findings do 'little to improve confidence in clinical execution, as cash burn and dilution risk are top of mind,' he wrote.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

FinThrive Introduces Agentic AI at HFMA 2025 to Help Customers Transform Healthcare Revenue Cycle Management Performance
FinThrive Introduces Agentic AI at HFMA 2025 to Help Customers Transform Healthcare Revenue Cycle Management Performance

Yahoo

time2 hours ago

  • Yahoo

FinThrive Introduces Agentic AI at HFMA 2025 to Help Customers Transform Healthcare Revenue Cycle Management Performance

Company to also highlight advancements in denials and underpayments management and speak to the measurable impact of RCM technology adoption DENVER, June 22, 2025 /PRNewswire/ -- FinThrive, Inc., a leading healthcare revenue management software-as-a-service (SaaS) provider, will have a significant presence at the 2025 Healthcare Financial Management Association (HFMA) Annual Conference, which will take place June 22-25 in Denver, Colorado. With high-profile speaking engagements, live demonstrations of cutting-edge solutions, and Agentic AI-driven innovation, FinThrive will showcase how its revenue cycle management platform helps healthcare organizations modernize operations, reduce friction and more strategically and proactively recover revenue. Advancements in Artificial Intelligence – Agentic AI FinThrive is expanding its suite of AI, machine learning (ML), generative AI, and robotic process automation (RPA) tools with the launch of Agentic AI capabilities, a next-generation innovation in healthcare revenue cycle management. Unlike traditional revenue cycle automation tools that rely on predefined rules, agentic AI introduces intelligent digital agents capable of autonomous decision-making, dynamic workflow optimization, and complex task execution. These capabilities enable providers to recover revenue faster, reduce operational friction, and adapt to payer behavior in real time. FinThrive's differentiated approach leverages broad integration across revenue cycle workflows, scalable payer connections, and a real-time data fabric layer that continuously analyzes trends to support optimized execution. In addition to Agentic AI, FinThrive incorporates AI Machine Learning, Generative AI and RPA across its platform to optimize the revenue cycle from cash flow forecasting to prior authorization determination to expediting contract loading. FinThrive's cloud infrastructure and data lake allow for a broad array of use cases to be delivered and enhance existing RCM solutions. FinThrive leverages a broad integration across revenue cycle workflows, scalable payer connections, and a real-time data fabric layer that continuously analyzes trends for optimized execution. This differentiated approach ensures agentic AI delivers not just automation, but intelligent, enterprise-wide transformation across revenue operations. Agentic AI delivers significant advantages across the revenue cycle by enabling intelligent, autonomous operations. It allows digital agents to prioritize accounts, flag incomplete documentation, and apply real-time coding corrections. Complex tasks like payer rule adjustments, eligibility checks, and prior authorization determinations are streamlined through end-to-end automation. The system continuously learns by monitoring payer behavior, integrating feedback loops, and refining execution strategies dynamically – this reduces manual workloads, boosts staff productivity, and enables teams to focus on higher-value activities. At the same time, Agentic AI strengthens compliance by ensuring all documentation and AI-generated content align with regulatory standards. Agentic AI is a key element of a new intelligent data platform FinThrive is launching at the HFMA Annual Conference. This future-ready foundation is the modern operating system for revenue cycle transformation, bringing AI, analytics, and automation together to deliver faster insights, greater accuracy, and measurable performance improvement. By embedding intelligent decision-making and automation across the entire revenue lifecycle, FinThrive will empower healthcare organizations to operate more efficiently, recover revenue faster, and adapt at scale in an evolving payer environment. Agentic AI is only one component of a comprehensive, tech-forward infrastructure FinThrive will launch tomorrow at the conference. This exciting innovation establishes FinThrive as the modern foundation for exponential value creation in healthcare revenue operations, enabling AI, automation, and analytics to work better, faster, and at scale. As FinThrive continues to innovate, multiple AI-driven agents are slated for release in the future. FinThrive's commitment to redefining revenue cycle management through Agentic AI empowers providers to work smarter, recover revenue faster, and drive operational excellence. RCMTAM: Modernization with Measurable Impact During a breakout presentation titled, Connecting RCM Technology Adoption & Modernization Patterns to Financial Performance, Evan Goad, FinThrive's Chief Growth Officer will be joined by Mike Vigo, Chief Revenue Cycle Officer at UC San Diego Health, to share how leading organizations have utilized the results of the RCMTAM in the past year, highlight best practices for financial improvement and what they see for the future of the technology modernization journey. Developed in partnership with HFMA, the RCMTAM is the industry's first company-agnostic benchmarking model designed to help providers assess and prioritize technology investments. Since its launch in late 2023, more than 150 organizations have completed the RCMTAM assessment, with two achieving the coveted Stage 5 level, signifying end-to-end optimization and advanced revenue intelligence. The presentation will occur on June 23 from 3:00 to 3:50 p.m. at Mile High 2A & 3A. Onsite Debut: Denials & Underpayments Analyzer Attendees will also get a first look at FinThrive's new Denials & Underpayments Analyzer. The AI-powered tool helps providers convert payer data noise into actionable financial insights, pinpointing denial patterns, underpayment trends, and high-value recovery opportunities. Live demonstrations will be available throughout the event at the FinThrive booth. Visit FinThrive at Booth #631 during HFMA 2025 to explore the latest innovations, connect with our experts and experience what's next in healthcare revenue transformation. About FinThriveFinThrive helps healthcare organizations increase revenue, reduce costs, expand cash collections and ensure regulatory compliance across the entire revenue cycle continuum. Providing one of healthcare's most comprehensive revenue cycle management SaaS platforms, FinThrive's holistic approach to intelligent revenue management offers patient access, charge integrity, claims management, contract management, AI machine learning, generative and agentic AI, robotic process automation, data and analytics, and education solutions. Three out of five U.S. hospitals and health systems are using FinThrive today. For more information, visit View original content to download multimedia: SOURCE FinThrive, Inc.

This Windows 11 Pro Upgrade Is a No-Brainer at $15
This Windows 11 Pro Upgrade Is a No-Brainer at $15

Entrepreneur

time2 hours ago

  • Entrepreneur

This Windows 11 Pro Upgrade Is a No-Brainer at $15

Disclosure: Our goal is to feature products and services that we think you'll find interesting and useful. If you purchase them, Entrepreneur may get a small share of the revenue from the sale from our commerce partners. You don't need to overhaul your company's hardware to boost performance. Sometimes, the smartest investment is in the operating system itself. Right now, business leaders can grab a lifetime license to Microsoft Windows 11 Pro for just $14.97 (regularly $199) through July 20—a powerful upgrade for any professional environment. Whether you're running a solo consultancy, scaling a startup, or managing a growing remote team, Windows 11 Pro offers the security, productivity, and performance enhancements your operation demands. It's designed for power users and professionals who can't afford downtime, slow systems, or limited features. With tools like BitLocker encryption, Hyper-V virtualization, Azure AD support, and Windows Sandbox, this version goes far beyond the home edition. For entrepreneurs juggling sensitive data or developers working in isolated environments, these are necessities. The modernized interface and snap layouts make multitasking a breeze, while Windows Copilot, the built-in AI assistant, helps you summarize content, generate code, or change settings in seconds. It's a productivity win, especially when paired with Teams and voice-to-text capabilities. For small business owners navigating hybrid teams or IT managers juggling multiple devices, Windows 11 Pro also simplifies device management. With features like Group Policy support and remote desktop functionality, you can easily configure, monitor, and secure multiple machines from a single point of control. This is especially useful for businesses with distributed teams or those handling sensitive client data. Plus, compatibility with Microsoft Intune and third-party endpoint management tools means you can streamline onboarding and enforce security policies—without having to invest in expensive IT infrastructure. This is a lifetime license, so you only pay once, and never worry about renewals or subscriptions again. Get Windows 11 Pro for just $14.97 (reg. $199) through July 20. Microsoft Windows 11 Pro See Deal StackSocial prices subject to change.

How your AI prompts could harm the environment
How your AI prompts could harm the environment

CNN

time2 hours ago

  • CNN

How your AI prompts could harm the environment

AI Sustainability Climate change EconomyFacebookTweetLink Follow Sign up for CNN's Life, But Greener newsletter. Our limited newsletter series guides you on how to minimize your personal role in the climate crisis — and reduce your eco-anxiety. Whether it's answering work emails or drafting wedding vows, generative artificial intelligence tools have become a trusty copilot in many people's lives. But a growing body of research shows that for every problem AI solves, hidden environmental costs are racking up. Each word in an AI prompt is broken down into clusters of numbers called 'token IDs' and sent to massive data centers — some larger than football fields — powered by coal or natural gas plants. There, stacks of large computers generate responses through dozens of rapid calculations. The whole process can take up to 10 times more energy to complete than a regular Google search, according to a frequently cited estimation by the Electric Power Research Institute. So, for each prompt you give AI, what's the damage? To find out, researchers in Germany tested 14 large language model (LLM) AI systems by asking them both free-response and multiple-choice questions. Complex questions produced up to six times more carbon dioxide emissions than questions with concise answers. In addition, 'smarter' LLMs with more reasoning abilities produced up to 50 times more carbon emissions than simpler systems to answer the same question, the study reported. 'This shows us the tradeoff between energy consumption and the accuracy of model performance,' said Maximilian Dauner, a doctoral student at Hochschule München University of Applied Sciences and first author of the Frontiers in Communication study published Wednesday. Typically, these smarter, more energy intensive LLMs have tens of billions more parameters — the biases used for processing token IDs — than smaller, more concise models. 'You can think of it like a neural network in the brain. The more neuron connections, the more thinking you can do to answer a question,' Dauner said. Complex questions require more energy in part because of the lengthy explanations many AI models are trained to provide, Dauner said. If you ask an AI chatbot to solve an algebra question for you, it may take you through the steps it took to find the answer, he said. 'AI expends a lot of energy being polite, especially if the user is polite, saying 'please' and 'thank you,'' Dauner explained. 'But this just makes their responses even longer, expending more energy to generate each word.' For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don't need an explanation at all. Most important, Dauner's study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task. 'Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,' Luccioni explained. If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator. Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said. When possible, Luccioni recommends going back to basic sources — online encyclopedias and phone calculators — to accomplish simple tasks. Putting a number on the environmental impact of AI has proved challenging. The study noted that energy consumption can vary based on the user's proximity to local energy grids and the hardware used to run AI partly why the researchers chose to represent carbon emissions within a range, Dauner said. Furthermore, many AI companies don't share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI's water consumption. 'You can't really say AI consumes this much energy or water on average — that's just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,' Ren said. One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested. 'Generally, if people were more informed about the average (environmental) cost of generating a response, people would maybe start thinking, 'Is it really necessary to turn myself into an action figure just because I'm bored?' Or 'do I have to tell ChatGPT jokes because I have nothing to do?'' Dauner said. Additionally, as more companies push to add generative AI tools to their systems, people may not have much choice how or when they use the technology, Luccioni said. 'We don't need generative AI in web search. Nobody asked for AI chatbots in (messaging apps) or on social media,' Luccioni said. 'This race to stuff them into every single existing technology is truly infuriating, since it comes with real consequences to our planet.' With less available information about AI's resource usage, consumers have less choice, Ren said, adding that regulatory pressures for more transparency are unlikely to the United States anytime soon. Instead, the best hope for more energy-efficient AI may lie in the cost efficacy of using less energy. 'Overall, I'm still positive about (the future). There are many software engineers working hard to improve resource efficiency,' Ren said. 'Other industries consume a lot of energy too, but it's not a reason to suggest AI's environmental impact is not a problem. We should definitely pay attention.'

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store