Guy's and St Thomas' Collaborates With Leading AI Companies to Transform Healthcare Delivery

LONDON--(BUSINESS WIRE)--Guy's and St Thomas' NHS Foundation Trust has announced the launch of the Proactive & Accessible Transformation of Healthcare (PATH) initiative in collaboration with General Catalyst, NVIDIA, Hippocratic AI, and Sword Health.
PATH brings together leading technology companies to explore comprehensive solutions to deliver the NHS's vision of the 'three shifts' - from hospital to community, analogue to digital, and treatment to prevention. Through harnessing frontier machine learning and agentic AI technologies, PATH aims to transform NHS care delivery - enabling a more proactive, coordinated, and efficient health system, and laying the foundation for a scalable, national model of population health.
Professor Ian Abbs, CEO of Guy's and St Thomas', said: 'Our Strategy to 2030 set out a bold ambition to deliver better, faster, fairer healthcare for all. PATH seeks to bring that ambition to life - combining cutting-edge technology and clinical care to build a more proactive NHS.'
Dr. Nadine Hachach-Haram, Clinical Lead for Innovation at Guy's and St Thomas', said: 'This is a first for the NHS - rethinking pathways end-to-end with AI at the centre, from referral to recovery. We're aiming not just to treat more patients, but to treat them better."
Tackling the Elective Care Crisis with Proven AI Solutions
PATH will first target one of the Trust's most urgent challenges: the elective care waiting list. At Guy's and St Thomas' alone, over 53,000 patients are waiting for a first appointment, and 25,000 are awaiting surgery.
PATH will explore end-to-end solutions that go further than just managing waiting lists - it aims to transform the patient journey entirely. Through integrating AI-powered patient support, remote monitoring, and virtual care technologies, PATH will enable Guy's and St Thomas' clinicians to prioritise cases based on clinical need, help patients become active participants in their care, and ensure resources are allocated efficiently across the system. The result should be a more responsive healthcare model that provides timely access while maintaining quality and the human aspects of care delivery.
PATH combines:
Guy's and St Thomas' Centre of Innovation, Transformation, and Improvement (CITI), with its mission to support the Trust to deliver better, faster, fairer healthcare.
Hippocratic AI's Safety-focused Generative AI Healthcare Agents, powered by its clinically proven and patented Polaris safety constellation architecture, conduct non-diagnostic patient-facing outreach. To date, more than 2.49 million patient calls have been made with a high average patient satisfaction rating of 8.95/10.
Sword Health's AI Care platform has already treated over 500,000 patients globally across physical pain, pelvic health, and other clinical areas, delivering 6.5 million AI sessions to date and saving nearly $1 billion in unnecessary healthcare costs.
NVIDIA Inception for startups, including technical tools and training for AI developers, preferred pricing on NVIDIA hardware and software, and opportunities to connect with NVIDIA's network of venture capital firms.
General Catalyst's health system expertise to identify transformative technology providers and align incentives through shared-savings models that drive measurable impact.
Munjal Shah, Founder and CEO of Hippocratic AI, said: "Our safety-focused generative AI healthcare agents open the door to the age of healthcare abundance in the UK. More personalized care will help patients feel more supported and heard, expanding access to care and improving outcomes."
Virgílio Bento, Founder & CEO of Sword Health, said: "At Sword Health, we've delivered AI Care to more than half a million patients to date, leading to higher access and quality, reducing waste, and materially improving clinical outcomes. Our ambition is to turn waiting lists into recovery journeys."
Howard Wright, VP of startup ecosystem, NVIDIA, said: 'AI is driving a new era in healthcare that is smart, fast, and even more patient-centric. This collaboration helps build upon the transformative impact that innovative startups can have when advanced AI is harnessed to serve public health."
A Scalable Model for the Future NHS
PATH could be a blueprint for a new operating model for the NHS. NHS care teams, augmented with intelligent systems, will be able to better manage chronic conditions, coordinate care, and deliver patient support. Patient care will shift from reactive to proactive, and access to care will be improved. Technology can extend the reach of NHS teams and enable a workforce model designed for quality, sustainability, speed, and scale.
, Managing Director at General Catalyst, said: "The goal of PATH is to enable the NHS to work better for everyone, starting with Guy's and St Thomas'. By deploying applied AI to increase access, improve care, optimise resources, and empower staff, we believe we can build an NHS fit for the future."

Try Our AI Features

Explore what Daily8 AI can do for you:

Learn with AIFact CheckingText to SpeechAI Summary

Related Articles

Miami Herald

42 minutes ago

• Miami Herald

OpenAI makes shocking move amid fierce competition, Microsoft problems

A blind man once told me, "I wish I knew what a beautiful woman looks like". He started losing his sight from birth and lost it completely while he was still just a child. What do the engineers trying to make artificial intelligence know about intelligence? To me, they look like a bunch of blind men, trying to build a "living" statue of a beautiful person. The worst part is, they don't even know they are blind. Do you remember the scandal when an engineer from Google claimed that the company's AI is sentient? When I saw the headlines, I didn't even open the articles, but my conclusion was that either Google made a terrible mistake in hiring him or it was an elaborate PR stunt. I thought Google was famous for having a high hiring bar, so I was leaning toward a PR stunt-I was wrong. Related: Apple WWDC underwhelms fans in a crucial upgrade What is amazing about that story is that roughly six months later, ChatGPT came out and put Google's AI department into panic mode. They were far behind ChatGPT, which was not even close to being sentient. Engineers from OpenAI, were the ones to start a new era, the era in which investors are presented with a statue that sort of has a human face, and has a speaker inside playing recordings of human speech, expecting that the "blind" men working on it, will soon make it become alive and beautiful. Of course, investors are also ignorant of the fact that engineers are "blind". OpenAI is now faced with many rivals, and the developing situation is starting to look like a bunch of bullies trying to out-bully each other instead of offering a superior product. Meta's recent investment of $15 billion in Scale AI seems to have hit OpenAI quite hard. OpenAI will phase out work with Scale AI, said the company spokesperson for Bloomberg on June 18th. According to the same source, Scale AI accounted for a small fraction of OpenAI's overall data needs. It looks like Meta's latest move angered OpenAI's CEO Sam Altman. In a podcast hosted by his brother, he revealed that Meta Platforms dangled $100 million signing bonuses to lure OpenAI staff, only to fail. "None of our best people have decided to take them up on that," he said, writes Moz Farooque for TheStreet. Related: Popular AI stock inks 5G network deal Unless Altman shows some evidence, this can also be a way to mislead Meta's engineers into believing they aren't compensated fairly. Not that Zuckerberg wouldn't do such a thing, but only the people involved know the truth. As if OpenAI's competition is closing in, buying partner companies and trying to poach its staff by offering ridiculous bonuses aren't enough, the company has even more problems. It is bleeding money, and has issues with a big stakeholder. More AI Stocks: Veteran fund manager raises eyebrows with latest Meta Platforms moveGoogle plans major AI shift after Meta's surprising $14 billion moveAnalysts revamp forecast for Nvidia-backed AI stock OpenAI lost about $5 billion in 2024. There are no estimates on how much the company will lose this year, but according to Bloomberg News, the company does not expect to become cash flow positive until 2029. Latest developments will likely push that date farther into the future. Microsoft has invested about $14 billion in OpenAI; however, the relationship has turned sour since then. OpenAI has considered accusing Microsoft of anticompetitive behavior in their deal, reported the Wall Street Journal on June 16th. On June 19th The Financial Times reported that Microsoft is prepared to abandon its negotiations with OpenAI if the two sides cannot agree on critical issues. Meanwhile, OpenAI has started shockingly discounting enterprise subscriptions to ChatGPT. This had angered salespeople at Microsoft, which sells competing apps at higher prices, reported The Information. Related: Amazon's latest big bet may flop "In my experience, products are only discounted when they are not selling because customers do not perceive value at the higher price. If someone loses copious amounts of money at the higher price, how will the economics work at a lower price?" wrote veteran hedge fund manager Doug Kass in his diary on TheStreet Pro." OpenAI's price cuts could kick off a price war, with a race to the bottom even as OpenAI, Microsoft, Meta, and Google continue plowing tens of billions into developing it. "My suspicion, although those guys might be good (in theory) at technology, they are not good at business. I think they will find much less in the way of elasticity than they hope, because the problem is the quality of the output more than it is the price," said Kass. What will happen to OpenAI's cash flow positive plan after 2029? I doubt it is reachable with the now slashed prices. Will the company even live to see 2029? I think that is a better question. Related: Elon Musk's DOGE made huge mistakes with veterans' programs The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc.

Gizmodo

2 hours ago

• Gizmodo

The $14 Billion AI Google Killer

A new AI darling is making waves in Silicon Valley. It's called Perplexity, and according to reports, both Meta and Apple have quietly explored acquiring it. Valued at a staggering $14 billion following a May funding round, the startup is being hailed as a revolutionary threat to Google Search's search dominance. But here's the thing: it mostly just summarizes web results and sends you links. So why the frenzy? Perplexity billed itself an 'answer engine.' You ask a question, and it uses large language models to spit out a human-sounding summary, complete with footnotes. It's essentially ChatGPT with a bibliography. You might ask for the best books about the French Revolution or a breakdown of the Genius Act. In seconds, it generates a paragraph with links to Wikipedia, news outlets, or Reddit threads. Its pitch is a cleaner, ad-free, chatbot-driven search experience. No SEO junk, no scrolling. But critics say it's little more than a glorified wrapper around Google and OpenAI's APIs, with minimal proprietary tech and lots of smoke. It's fast, clean, and slick. But, they argue, at its core, it's mostly just reorganizing the internet. Big Tech's Obsession That hasn't stopped the hype. In May 2025, the San Francisco, California based company closed another $500 million funding round, pushing its valuation to $14 billion, a sharp increase from its $9 billion valuation in December 2024. Jeff Bezos, via the Jeff Bezos Family Fund, and Nvidia are among its notable backers And now, tech giants are circling. According to Bloomberg, Apple has held talks about acquiring Perplexity. Meta has also reportedly considered the move, though no formal offers have been confirmed. The logic is clear. Perplexity is fast-growing and increasingly seen as a 'Google killer,' especially among tech influencers and X power users. Traffic to its site has exploded in recent months. The company now offers a Chrome extension, mobile app, and a Pro version that gives users access to top-tier AI models like GPT-4 and Claude. Still, it's unclear what exactly makes Perplexity worth $14 billion, other than the fact that it's riding the AI wave. Why AI Skeptics Are Rolling Their Eyes For AI skeptics, Perplexity's rise is yet another example of hype outpacing substance. The site doesn't train its own models. It's not building new infrastructure. It's not revolutionizing search. It's just offering a polished interface to ask questions and get AI-generated summaries pulled from public websites. There are also growing concerns about how Perplexity sources its information. A number of news organizations, including The New York Times, Forbes, and Wired, have accused the company of plagiarizing and scraping content without permission or proper attribution. Journalists and publishers warn that this kind of AI-powered search experience threatens to cannibalize news traffic while giving little back to content creators. On June 20, the BBC became the latest outlet to threaten legal action against Perplexity AI, alleging that the company is using BBC content to train its 'default AI model,' according to the Financial Times. Perplexity CEO Aravind Srinivas has defended the company as an 'aggregator of information.' In July 2024, the startup launched a revenue-sharing program to address the backlash. 'We have always believed that we can build a system where the whole Internet wins,' Srinivas said at the time. So Why the Gold Rush? Simple. Search is money. Google earned $50.7 billion from search ads in the first quarter, a 9.8% increase year over year. If Perplexity can convince even a small share of users to switch, and then monetize that experience, it becomes a real threat. Apple and Meta, both increasingly wary of relying on Google, see Perplexity as a fast track into the AI search race. But the stakes go even deeper. Whoever controls the next search interface controls the user. Just as Google replaced Yahoo, Perplexity could theoretically replace Google. That's why Big Tech wants in, even if it's not entirely clear what they're buying.

Yahoo

3 hours ago

• Yahoo

Nvidia: How the chipmaker evolved from a gaming startup to an AI giant

Over the past two decades, Nvidia (NVDA) has skyrocketed into global conversation. The semiconductor company is considered an international leader in the design and manufacturing of computer chips and helped revolutionize the rise of artificial intelligence (AI). Beyond its strengths in the gaming, data, and AI fields, Nvidia announced plans this March for a quantum research center in Boston, where CEO Jensen Huang said researchers could tackle problems from drug discovery to materials development. Here's a look at Nvidia's path to where it is today, from creating hardware for the gaming industry to designing the chips that power AI. On April 5, 1993, Jensen Huang, Chris Malachowsky, and Curtis Priem founded Nvidia with an initial focus on designing and producing 3D graphics processors for computing and video games. The company's first product release, the multimedia processor NV1, didn't get the reception the founders were hoping for. What followed was a financial situation so dire that Nvidia laid off half its staff, leading to its unofficial motto: 'Our company is 30 days from going out of business.' In addition to the NV1's unimpressive return, a partnership that Nvidia had forged with Japanese video game company Sega to produce console graphics chips fell through, adding to the pressure. However, even as it pivoted to another company for chips, Sega invested $5 million in Nvidia — funding which allowed Nvidia to survive going out of business. Despite financial challenges and a smaller team, Nvidia released its next chip in 1997. It was a success. RIVA 128 allowed for support of high-resolution 2D and 3D graphics, and over a million units were sold in its first four months of sales. With the foundation of RIVA 128 sales, Nvidia produced RIVA TNT, which further cemented its place in the industry with better image quality and performance. Two years later, on Jan. 22, 1999, Nvidia went public on the New York Stock Exchange (NYSE) at $12 a share, and by May, it shipped out its 10,000,000th graphics processor. Later in 1999, Nvidia released GeForce 256, calling it the world's first 'Graphics Processing Unit.' By marketing the chip directly to customers instead of just including it within a device or console, the company popularized the term 'GPU.' With their ability to break larger tasks into smaller ones that could run at the same time, known as parallel processing, GPUs took on the heavy workload of powering graphics. It allowed devices to work on other processing functions faster, which meant GeForce 256 offered smoother, faster, and more realistic graphics. Finding growing success in supplying GPUs to both customers and consoles like Xbox, Nvidia joined the Nasdaq 100 and the S&P 500 in 2001. In 2006, Nvidia launched CUDA, a platform that allowed users to access their GPUs' parallel processing capabilities to run their own software instead of just graphics. Between 2006 to 2017, Nvidia invested nearly $12 billion in research & development with a large portion of those funds going towards CUDA. CUDA downloads slowed entering the 2010s, and while CUDA provided users with the ability to use chips for purposes other than gaming, it didn't initially seem to pay off for investors. 'Some investors were big Nvidia fans in the late 2000s and gave them the benefit of the doubt for the first five years of the CUDA investment," Acquired podcast co-host Ben Gilbert said in a 2022 episode. "But in the mid-2010s, market demand still wasn't showing up in a big way, and it was becoming a bigger and bigger investment." However, later technological developments would make CUDA crucial to the company. "It made all of our products more expensive since we were selling these gamer cards while putting computing acceleration into them," Bryan Catanzaro, Nvidia's vice president of applied deep learning research, told Yahoo Finance in 2023. "It took a lot of commitment to follow through. … I would say it was about 10 years before Wall Street really started to believe this investment was worth anything." In 2012, students Alex Krizhevsky and Ilya Sutskever used CUDA to train the visual-recognition neural network AlexNet with two Nvidia GPUs. AlexNet's breakthrough performance in identifying images demonstrated that using GPUs to train machine learning models cut training times significantly compared to the CPUs that were previously used. Following this advancement, Nvidia began pivoting its focus to artificial intelligence, supported by its revenue from gaming. By 2016, it announced the DGX-1, a system designed specifically for deep learning and the large language models that were on the rise. That year, Nvidia stock nearly tripled in price. 'It's 'destiny meets serendipity,'' Nvidia CEO Jensen Huang told Yahoo Finance at the time. 'People think it's an overnight success, but like most overnight successes, it took us years.' At the same time, Nvidia took the opportunity to make strategic acquisitions, such as wireless company Icera in 2011 and hardware company The Portland Group in 2013. It tried to acquire the semiconductor and design company Arm (ARM) in 2020, but the deal ultimately fell through after regulatory concerns. In March 2022, Nvidia announced the H100 'Hopper' chip, promising faster training and better performance for artificial intelligence. Controlling a significant majority of the market share with this GPU, major companies, including Alphabet (GOOG), Amazon (AMZN), and Microsoft (MSFT), turned to Nvidia with billions as they began to develop AI and data-driven products. One such company is OpenAI ( whose relationship with Nvidia stretches back to 2016, when Nvidia donated the first DGX-1 supercomputer to the startup. In November 2022, OpenAI launched ChatGPT, a language model built on Nvidia GPUs that quickly reached headlines. In less than two months, ChatGPT set the record for the fastest-growing consumer application in history, according to a UBS study, reaching 100 million monthly active users in January 2023. "A new computing era has begun," Nvidia CEO Jensen Huang said in a 2023 statement. "Companies worldwide are transitioning from general-purpose to accelerated computing and generative AI." With investors increasingly interested in artificial intelligence and as the demand for GPUs to run models continues to grow, Nvidia's revenue for the quarter ending in January 2024 more than doubled its results year over year. Following the quarterly report's release, Nvidia had the largest one-day gain in stock market history, adding $277 billion in value. It then hit a valuation of $2 trillion the following day. The record wouldn't stand for long, however; Nvidia beat it again just two months later. That March, Nvidia announced its next chip: Blackwell. Offering higher performance with reduced cost and energy consumption, the chips were designed to work better than previous versions when linked to work together in large numbers. Soon after, Nvidia announced a 10-for-1 stock split in June 2024. Following the split, it passed Microsoft and Apple (AAPL) to become the world's most valuable company at $3.3 trillion. By November 2024, it was added to the Dow Jones Industrial Average. Despite its successes, Nvidia also encountered challenges throughout its rise. In 2018, it faced a class-action lawsuit alleging it did not properly disclose to investors the impact of the cryptocurrency market on revenue from sales of GPUs. At the time, 'miners' of cryptocurrencies such as bitcoin (BTC-USD) and ethereum (ETH-USD) used the GPUs to complete transactions and secure new crypto tokens. The process requires significant computational power, which made Nvidia GPUs a popular choice. Nvidia paid a $5.5 million settlement in 2022 to the SEC because of the issue, and in December 2024, the Supreme Court dismissed Nvidia's appeal, allowing the 2018 case to proceed. This wasn't Nvidia's first time managing legal issues regarding its chips. In 2016, it settled a case involving the marketed performance and actual capabilities of its GTX 970, with payouts of $30 per purchase. On top of legal issues, there is also the challenge of supply keeping up with demand. A global chip shortage first occurred in early 2020 as a result of the coronavirus pandemic and an increased reliance on technology for remote work. Other factors that lengthened the shortage through 2023 included the initial US-China trade war, severe weather events, and the Russia-Ukraine war. A December 2024 report from the IDC projected global demand for AI and high-performance computing (HPC) to grow by over 15% in 2025. President Trump announced Project Stargate in January 2025, which involves tech companies such as Oracle (ORCL), OpenAI, and SoftBank (SFTBY) investing $500 billion in AI infrastructure in the United States over the next four years. Nvidia, as a technology partner to the project, saw a jump in its stock, and reached a $3.6 trillion market cap. Later in the month, however, the Chinese company DeepSeek released its own AI model, which was reportedly trained at a significantly lower cost than that of competitors. Following the announcement, Nvidia stock dropped $589 billion, almost 17%, marking the largest single-day loss in stock market history. Following the drop, March 2025 brought the debut of Nvidia's Blackwell Ultra, the successor to Blackwell. The new chip was announced to have 1.5 times the performance of the previous chip, which could help AI models answer queries faster. In April 2025, Trump banned the export of the company's H20 chip to China, as chips like Nvidia's are critical in the race to develop AI technologies. In its first quarter report, Nvidia said it expects to miss $8 billion in potential sales because of the ban. Despite the expanded limitations on exports, Nvidia continues to grow and even briefly passed Microsoft again in June as the world's most valuable company. Looking forward, some even expect it could be the first company to hit a $4 trillion market cap. '[Nvidia] really got the AI revolution going,' ARK Invest founder Cathie Wood told Yahoo Finance earlier this year, 'and we think it's still going to play a mighty role." — Nina is a data reporter intern for Yahoo Finance. Sign in to access your portfolio