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Business Standard
22-07-2025
- Health
- Business Standard
Scientists develop AI system that can predict liver cancer recurrence
In a major medical breakthrough, scientists in Singapore have developed an AI-powered diagnostic tool capable of accurately predicting the recurrence of liver cancer — specifically hepatocellular carcinoma (HCC), one of the deadliest cancers globally. The Tumour Immune Microenvironment Spatial (TIMES) score, an innovative diagnostic system, has been developed through a joint effort by researchers at the Agency for Science, Technology and Research (A*STAR)'s Institute of Molecular and Cell Biology (IMCB) and Singapore General Hospital (SGH), according to a press release from SGH. The TIMES model, which was recently featured on the cover of the renowned journal Nature, is being seen as a game-changer in personalised cancer diagnostics and early intervention. What is hepatocellular carcinoma? Hepatocellular carcinoma (HCC) is the most common type of liver cancer, often linked to chronic liver diseases such as cirrhosis. It remains the third leading cause of cancer-related deaths worldwide, and recurrence rates are alarmingly high. In Singapore alone, around 70 per cent of liver cancer patients experience a relapse within five years of treatment, making early detection of the recurrence vital for improving survival rates. How the TIMES system works The TIMES score uses advanced machine learning and spatial biology to assess the likelihood of liver cancer returning after surgery. By integrating multiplex immunofluorescence imaging, spatial transcriptomics, and proteomics data, the model uses the XGBoost machine learning algorithm to detect molecular patterns within tumour tissue—patterns that traditional diagnostic methods cannot identify. Specifically, it evaluates the distribution of natural killer (NK) cells and the expression of five key genes inside the tumour microenvironment. This combination allows the AI to determine a patient's risk of recurrence with approximately 82 per cent accuracy, outperforming existing clinical tools. Potential of the TIMES system Early and accurate prediction of relapse means that doctors can tailor follow-ups and treatment plans more effectively. This would increase the chances of long-term survival. According to Dr Joe Yeong, Principal Investigator at A*STAR IMCB and SGH's Department of Anatomical Pathology, the TIMES system represents a big leap in the ability to anticipate cancer relapse and initiate timely intervention. The study also identified a biomarker called SPON2, produced by NK cells. SPON2 has been found to be associated with the risk of recurrence. Studies have further revealed that SPON2 and NK cells enhance anti-tumour activity by improving migration towards cancer cells and activating CD8 and T-cells. This finding could also pave the way for improved AI-guided immunotherapy. Denise Goh, co-first author and senior research officer at A*STAR IMCB, explained, 'TIMES turns standard pathology slides into predictive diagnostic tools. Not only does the AI algorithm improve prognostic precision, but it also enables clinicians to revise treatment and monitoring plans proactively — potentially saving lives.' Validated and ready for wider use The TIMES model was tested using tumour samples from 231 patients across five hospitals, demonstrating its reliability across diverse datasets. To encourage global collaboration, the team has also launched a free online portal that allows medical professionals to upload tissue images and get AI-generated recurrence risk assessments. The underlying software framework has been patented, and further validation trials are scheduled at SGH and the National Cancer Centre Singapore later this year. The research team is currently working with diagnostic partners to standardise the system and transform it into a clinically approved diagnostic kit for routine hospital use. SGH, Singapore's largest tertiary healthcare institution and a globally recognised academic medical centre, played a key role in this project and will continue to support its clinical rollout. If successful, the TIMES score could become a key breakthrough for future cancer care.
Business Wire
03-06-2025
- Business
- Business Wire
Literal Labs Raises £4.6M Pre-seed Round to Develop Energy-efficient Logic-based AI Worldwide
NEWCASTLE, England--(BUSINESS WIRE)-- Literal Labs, the logic-based AI algorithm company led by ex-Arm VP Noel Hurley, today announces that it has raised £4.6M ($6.2M USD) in pre-seed funding. The round is led by Northern Gritstone, the science and tech-focused investment firm from Northern England, and co-led by Mercuri, the London-based fund focused on companies at the intersection of media, entertainment and technology sectors, with participation from Sure Valley Ventures, Cambridge Future Tech SPV, and several angel investors. Literal Labs is pioneering logic-based AI models that are orders of magnitude faster, more energy efficient and more explainable than today's neural networks. Its approach is inspired by the work of Mikhail Tsetlin; a mathematician and contemporary of John Macarthy who pioneered neural networks. Like neural networks, the Tsetlin machine can perform complex machine learning training. However, unlike neural networks, it is based on propositional logic which makes it more efficient in terms of computation and energy usage, whilst speeding up inferencing. Recent MLPerf Anomaly detection benchmarking shows Literal Labs can achieve 54x faster inferencing than 'classic techniques' for machine learning applications, with 52x less energy consumption than equivalent neural networks. It also achieved 250x faster performance than XGBoost for machine learning applications. Literal Labs was spun out of Newcastle University by world leaders in logic-based AI, Dr. Alex Yakovlev and Dr. Rishad Shafik, along with company builder Cambridge Future Tech. Noel Hurley was later appointed CEO of Literal Labs in 2023, after having spent more than 20 years at Arm where he led its product marketing as well as its CPU division – which accounted for over 70% of revenue, totalling approximately $1bn. Literal Labs doubled its headcount from 6 to 12 in 2024, including appointing Leon Fedden – formerly AI Deep Learning platform lead at AstraZeneca – as Chief Technology Officer. The fresh injection of funding will be used to further grow its engineering team and bring its first commercial product to market later in 2025 for customers with EdgeAI who need to: Replace GPU-heavy algorithms which are too large, expensive or energy-intensive Operate in strict social or regulatory markets, in which explainability of AI is essential Have more efficient AI models for battery-based products Noel Hurley, CEO of Literal Labs, said: 'We're at a pivotal moment for AI with adoption continuing to accelerate alongside sustainability and cost concerns. Our logic-based AI offers a new solution for those that want and need high-performing AI that is faster, more energy efficient and more explainable than what's currently available via neural networks. This funding comes at a time when we're ready to significantly speed up our product development and will enable us to bring our first product to market later this year.' Duncan Johnson, CEO of Northern Gritstone, said: 'Literal Labs is Northern Gritstone's first investment linked to Newcastle University, renowned for its technology-related research. We are delighted to support Noel Hurley and the Literal Labs team at a time when innovation can truly benefit from greater efficiency in AI.' Esha Vatsa, Partner at Mercuri said: 'We are excited to back Literal Labs as it redefines AI with a radically efficient alternative to existing neural networks. The team, combining deep research expertise and proven industry leadership, is uniquely positioned to commercialise this innovation.' About Literal Labs Literal Labs is an AI algorithm company that uses logic-based techniques to generate custom AI models, which benchmarking studies have proven to be orders of magnitude faster, more energy-efficient and more explainable than neural networks. Its models are for companies that want to replace GPU-heavy algorithms that are too large, expensive and energy-intensive, for companies that operate in strict social or regulatory markets in which explainability of AI is essential, or for companies needing more efficient AI models for battery-based products. The company was spun out of Newcastle University by world leaders in logic-based AI, Dr. Alex Yakovlev and Dr. Rishad Shafik, and is led by former Arm CPU division VP and semiconductor startup founder, Noel Hurley. Read more at About Northern Gritstone Northern Gritstone is an investment company, dedicated to supporting ambitious science and technology businesses in the North of England. Its philosophy is 'profit with purpose' combining strong returns for investors with wider positive, societal and economic impact, including high-skilled job creation and regional growth. Active since May 2022, the company has made 37 investments to date in some of the UK's most exciting future businesses including semiconductor design and manufacturing; novel materials; secure computing; AI; healthtech; and gene therapies. Together with NG Innovation Services, Northern Gritstone offers 'Capital+++' connecting early-stage company founders with funding and expertise to scale their businesses. In April 2025, Northern Gritstone announced that it had raised further funding bringing its total committed capital to £362 million. About Mercuri Mercuri is an early-stage venture capital fund that leads pre-seed and seed funding rounds for UK technology companies. The firm is dedicated to backing outstanding entrepreneurs who are at the forefront of developing tech-driven products designed for the new age of enterprise and the digital lifestyle of the consumer. For more information, please go to:
Yahoo
03-06-2025
- Business
- Yahoo
Literal Labs Raises £4.6M Pre-seed Round to Develop Energy-efficient Logic-based AI Worldwide
Led by ex-Arm VP Noel Hurley, Literal Labs uses logic-based techniques to generate AI models that are orders of magnitude faster, more energy efficient and more explainable than today's neural networks. The round is led by Northern Gritstone, the science and tech-focused investment firm from Northern England, and co-led by Mercuri, the London-based fund focused on companies at the intersection of media, entertainment, and technology sectors. Headquartered in Newcastle, Literal Labs will use the capital to bring its first commercial product to market, grow its engineering team and continue delivering on its vision for AI that improves life for all and treads lightly on our environment. NEWCASTLE, England, June 03, 2025--(BUSINESS WIRE)--Literal Labs, the logic-based AI algorithm company led by ex-Arm VP Noel Hurley, today announces that it has raised £4.6M ($6.2M USD) in pre-seed funding. The round is led by Northern Gritstone, the science and tech-focused investment firm from Northern England, and co-led by Mercuri, the London-based fund focused on companies at the intersection of media, entertainment and technology sectors, with participation from Sure Valley Ventures, Cambridge Future Tech SPV, and several angel investors. Literal Labs is pioneering logic-based AI models that are orders of magnitude faster, more energy efficient and more explainable than today's neural networks. Its approach is inspired by the work of Mikhail Tsetlin; a mathematician and contemporary of John Macarthy who pioneered neural networks. Like neural networks, the Tsetlin machine can perform complex machine learning training. However, unlike neural networks, it is based on propositional logic which makes it more efficient in terms of computation and energy usage, whilst speeding up inferencing. Recent MLPerf Anomaly detection benchmarking shows Literal Labs can achieve 54x faster inferencing than "classic techniques" for machine learning applications, with 52x less energy consumption than equivalent neural networks. It also achieved 250x faster performance than XGBoost for machine learning applications. Literal Labs was spun out of Newcastle University by world leaders in logic-based AI, Dr. Alex Yakovlev and Dr. Rishad Shafik, along with company builder Cambridge Future Tech. Noel Hurley was later appointed CEO of Literal Labs in 2023, after having spent more than 20 years at Arm where he led its product marketing as well as its CPU division – which accounted for over 70% of revenue, totalling approximately $1bn. Literal Labs doubled its headcount from 6 to 12 in 2024, including appointing Leon Fedden – formerly AI Deep Learning platform lead at AstraZeneca – as Chief Technology Officer. The fresh injection of funding will be used to further grow its engineering team and bring its first commercial product to market later in 2025 for customers with EdgeAI who need to: Replace GPU-heavy algorithms which are too large, expensive or energy-intensive Operate in strict social or regulatory markets, in which explainability of AI is essential Have more efficient AI models for battery-based products Noel Hurley, CEO of Literal Labs, said: "We're at a pivotal moment for AI with adoption continuing to accelerate alongside sustainability and cost concerns. Our logic-based AI offers a new solution for those that want and need high-performing AI that is faster, more energy efficient and more explainable than what's currently available via neural networks. This funding comes at a time when we're ready to significantly speed up our product development and will enable us to bring our first product to market later this year." Duncan Johnson, CEO of Northern Gritstone, said: "Literal Labs is Northern Gritstone's first investment linked to Newcastle University, renowned for its technology-related research. We are delighted to support Noel Hurley and the Literal Labs team at a time when innovation can truly benefit from greater efficiency in AI." Esha Vatsa, Partner at Mercuri said: "We are excited to back Literal Labs as it redefines AI with a radically efficient alternative to existing neural networks. The team, combining deep research expertise and proven industry leadership, is uniquely positioned to commercialise this innovation." About Literal Labs Literal Labs is an AI algorithm company that uses logic-based techniques to generate custom AI models, which benchmarking studies have proven to be orders of magnitude faster, more energy-efficient and more explainable than neural networks. Its models are for companies that want to replace GPU-heavy algorithms that are too large, expensive and energy-intensive, for companies that operate in strict social or regulatory markets in which explainability of AI is essential, or for companies needing more efficient AI models for battery-based products. The company was spun out of Newcastle University by world leaders in logic-based AI, Dr. Alex Yakovlev and Dr. Rishad Shafik, and is led by former Arm CPU division VP and semiconductor startup founder, Noel Hurley. Read more at About Northern Gritstone Northern Gritstone is an investment company, dedicated to supporting ambitious science and technology businesses in the North of England. Its philosophy is 'profit with purpose' combining strong returns for investors with wider positive, societal and economic impact, including high-skilled job creation and regional growth. Active since May 2022, the company has made 37 investments to date in some of the UK's most exciting future businesses including semiconductor design and manufacturing; novel materials; secure computing; AI; healthtech; and gene therapies. Together with NG Innovation Services, Northern Gritstone offers 'Capital+++' connecting early-stage company founders with funding and expertise to scale their businesses. In April 2025, Northern Gritstone announced that it had raised further funding bringing its total committed capital to £362 million. About Mercuri Mercuri is an early-stage venture capital fund that leads pre-seed and seed funding rounds for UK technology companies. The firm is dedicated to backing outstanding entrepreneurs who are at the forefront of developing tech-driven products designed for the new age of enterprise and the digital lifestyle of the consumer. For more information, please go to: View source version on Contacts Media contact Connor Mitchellconnor@ Commplicated Fehler beim Abrufen der Daten Melden Sie sich an, um Ihr Portfolio aufzurufen. Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten
