日期: 2025 年 12 月 2 日

TOKYO, Dec 2, 2025 - (JCN Newswire via SeaPRwire.com) - Eisai Co., Ltd. (Headquarters: Tokyo, CEO: Haruo Naito) today announced that new data on anti-tau antibody etalanetug (development code: E2814) was presented at the 18th Clinical Trials on Alzheimer’s Disease Conference (CTAD). Etalanetug is designed to bind to the microtubule-binding region (MTBR) of tau protein and prevent the seeding and propagation of tau pathology.Anti-tau therapeutic antibody, etalanetug, reduces the novel biomarker plasma eMTBR-tau243 in patients with DIAD (Presentation: December 1, 4:35 PM PT)This presentation is based on the Phase Ib/II study (E2814-103) conducted in individuals (n=7) with dominantly inherited Alzheimer’s disease (DIAD)*. In this study, as previously reported, tau aggregates in the brains of individuals (n=3) were measured using tau PET, and the results showed that the observed tau PET signals were stabilized or trended toward decrease following administration of etalanetug, suggesting that etalanetug inhibited tau propagation and suppressed or reduced the accumulation of tau aggregates in brains.1The study evaluated eMTBR-tau243 as a specific biomarker of tau pathology progression and measured changes in cerebrospinal fluid (CSF) and plasma.MTBR-tau243 is a CSF biomarker correlated with tau pathology, and eMTBR-tau243** has also been developed as a highly sensitive biomarker in plasma.eMTBR-tau243 is a novel fluid biomarker consisting of tau fragments that include tau protein amino acid residue 243 and MTBR, with endogenous cleavage at the C-terminal side of residue 256. It is thought to arise during the formation of neurofibrillary tangles, a key pathological feature of Alzheimer’s disease (AD), and a strong correlation has been shown between tau PET and eMTBR-tau243 in both plasma and CSF.2 By using eMTBR-tau243, it becomes possible to easily measure changes in tau pathology using a blood test.Study results show that etalanetug reduced CSF eMTBR-tau243 by 62% at 3 months and by 89% at 9 months. Similarly, plasma eMTBR-tau243 was reduced by 78% at 3 months and over 90% at 9 months. These findings support etalanetug’s mechanism of action to inhibit tau seeding and spreading in the brain and encourage further studies to determine its clinical potential as a disease-modifying therapy for AD.Currently, etalanetug is being evaluated in two ongoing clinical studies: the Tau NexGen Phase II/III trial in DIAD, conducted under the Dominantly Inherited Alzheimer Network Trials Unit (DIAN-TU) and led by Washington University School of Medicine in St. Louis, added to a standard-of-care anti-Ab protofibril antibody lecanemab (brand name: LEQEMBI), and the Phase II Study 202, a global randomized trial in individuals with early sporadic AD, also assessing etalanetug added to lecanemab as the standard of care.Media Inquiries:Public Relations Department,Eisai Co., Ltd.+81-(0)3-3817-5120Eisai Inc (U.S.)Libby Holman+ 1-201-753-1945Libby_Holman@eisai.com* DIAD: Dominantly Inherited Alzheimer’s disease (DIAD) is a rare form of AD that causes memory loss and dementia in individuals - typically while they are in their 30s to 50s. The disease affects less than 1% of the total population of people with Alzheimer’s disease.** eMTBR-tau243 is a novel fluid biomarker consisting of tau fragments that include tau protein amino acid residue 243 and MTBR, with endogenous cleavage at the C-terminal side of residue 256. It is thought to arise during the formation of neurofibrillary tangles, a key pathological feature of AD, and a strong correlation has been shown between tau PET and eMTBR-tau243 in both plasma and CSF.For more details, please visit: https://www.eisai.com/news/2025/pdf/enews202583pdf.pdf  Copyright 2025 JCN Newswire via SeaPRwire.com. All rights reserved. www.jcnnewswire.com

TOKYO, Dec 2, 2025 - (JCN Newswire via SeaPRwire.com) - NEC Corporation (NEC; TSE: 6701) will begin offering its "NEC AI Agent Service for Procurement Negotiations" in Japan starting this December. This service utilizes NEC's proprietary AI technology, "Automated Negotiation AI," to autonomously generate optimal transaction terms for procurement operations in the manufacturing industry and to negotiate with suppliers.This service automates complex delivery date and quantity adjustment negotiations in manufacturing, drastically reducing the time spent on transaction negotiations. It enables rapid response to demand fluctuations and significantly improves operational efficiency.NEC conducted a proof-of-concept (POC) at an NEC Group company in November 2024, successfully automating delivery date and quantity adjustments with suppliers for the procurement of approximately 1,300 parts.In this proof-of-concept, the "automated agreement rate"—the percentage of agreements reached solely by AI without procurement personnel intervention—reached 95%. Negotiations concluded under optimal conditions for both the supplier and NEC. This confirmed that the adjustment time from negotiation initiation to completion, which previously took several hours to days, could be reduced to just approximately 80 seconds, achieving a significant improvement in operational efficiency.In recent years, negotiations among stakeholders in the manufacturing industry have become increasingly complex due to diversifying demand and the extensive supply chains spanning from raw material procurement to final product delivery. Amid demands for shortening overall supply chain lead times and adapting to high-mix, low-volume production, procurement operations must address risks in a VUCA environment, making efficiency and speed through digital transformation (DX) advancement an urgent priority.However, many companies lack the capacity to swiftly optimize production systems and procurement plans in response to unexpected fluctuations in demand, hindered by factors such as labor shortages, overly personalized work processes, and cost pressures. Particularly, adjusting delivery dates and quantities for parts and raw materials is a critical task directly linked to production planning and potentially leading to lost sales opportunities. Yet, due to its complexity and the time required for negotiations, many items face the challenge of insufficient coordination.NEC developed Automated Negotiation AI to address these challenges, leveraging its proprietary AI technology cultivated through years of research. This technology enables systems to autonomously negotiate with business partners without human intervention, supporting the formation of optimal agreements. This allows for the coordination of procurement timing even for vast numbers of items that were previously unmanageable manually. By curbing excess inventory, preventing stockouts, and avoiding delivery delays, it creates a supply chain resilient to demand fluctuations. Through this service, NEC resolves challenges in increasingly complex supply chains and contributes to enhancing customer competitiveness.Overview of Automated Negotiation AIAutomated Negotiation AI is NEC's proprietary AI technology that adjusts and negotiates on behalf of humans for various coordination tasks traditionally performed by people. It automatically derives essential and desirable conditions for coordination and proposes optimal, mutually acceptable terms. It is designed not only for coordination and negotiation between AI and humans but also for coordination and negotiation between AI systems themselves.Strengths of NEC’s Automated Negotiation AI1. Proprietary Advanced Technology and an Overwhelming Intellectual Property PortfolioNEC's Automated Negotiation AI is proprietary technology enabling optimal agreement formation. It boasts the industry's largest portfolio with 28 related patent applications (as of February 2025).2. Leading Domestic Market Adoption InitiativesNEC is vigorously promoting the automation and adoption of negotiation tasks in Japan through the establishment of the "Autonomous Negotiation SCM Consortium." Beyond merely providing technology, NEC contributes to strengthening the competitiveness of Japanese manufacturing by driving DX across the entire industry.3. Global Trustworthiness Leading International StandardizationNEC's automated negotiation AI technology has been adopted as an international standard for E-Negotiation (*1) by the United Nations' standardization body (UN/CEFACT). It enables smooth collaboration and consensus-building compliant with international standards even in negotiations with international partners, contributing to the optimization of global supply chains.Key Features of This Service1. Automation and Efficiency for Massive Negotiation Workloads Difficult to Handle ManuallyIt automatically detects orders requiring delivery date and quantity adjustments to optimize inventory from all incoming orders and generates negotiation proposals. By presenting these proposals to business partners via AI agents and executing interactive negotiations, it significantly reduces the massive manual adjustment workload.2. Optimization of the Entire Supply Chain and Avoidance of Lost OpportunitiesThe automated negotiation AI calculates optimal negotiation proposals based on transaction data, supporting mutually beneficial agreements. This prevents stockouts and delivery delays, reducing lost sales opportunities. It also helps curb excess inventory, achieving overall supply chain cost optimization while enhancing flexibility and stability.3. Supporting Strategic Procurement OperationsBy automating routine negotiation tasks, procurement personnel can focus on strategic activities such as developing advanced supplier strategies, risk management, and sourcing new suppliers. This contributes to increased productivity and value creation across the entire procurement department.4. Seamless Integration with Existing SystemsIntegration with various existing systems, such as ERP, enables a one-stop procurement process through DX. This allows for smooth implementation and operation while minimizing the burden of system renewal.(*1) https://uncefact.unece.org/spaces/uncefactpublic/pages/65667327/E+NegotiationAbout Automated Negotiation AIhttps://www.nec.com/en/global/solutions/ai/analyze/negotiationai.htmlAbout NECThe NEC Group leverages technology to create social value and promote a more sustainable world where everyone has the chance to reach their full potential. NEC Corporation was established in 1899. Today, the NEC Group’s approximately 110,000 employees utilize world-leading AI, security, and communications technologies to solve the most pressing needs of customers and society. For more information, please visit https://www.nec.com, and follow us on Instagram, Facebook, YouTube, and LinkedIn.  Copyright 2025 JCN Newswire via SeaPRwire.com. All rights reserved. www.jcnnewswire.com

KAWASAKI, Japan, Dec 2, 2025 - (JCN Newswire via SeaPRwire.com) - Fujitsu today announced the development of a new technology to make collaboration between robots and humans easier, safer and more efficient. The spatial world model technology makes it possible for AI to predict the future behaviors and states of different actors and objects within a space, and facilitates smooth collaboration between humans and robots, as well as optimal coordination among robots. This new development comes as part of Fujitsu’s broader research and development efforts in the field of physical AI.The spatial world model technology will be showcased at CES2026, held in Las Vegas from January 6 to January 9, 2026. Fujitsu also plans to conduct technical demonstrations at its headquarters during fiscal year 2026.Spatial World Model Technology Features1. Construction of a spatial world model using 3D scene graphs focusing on human, robot, and object interactionsIn physical environments, the spatial situation changes dynamically as actors within the space (i.e., people, robots, etc.) move and act. While technologies that use capturing data from cameras to understand these spatial dynamics have been explored, significant differences in the range captured by each camera and variations in appearance (such as distortion) between fixed and mobile cameras has made it difficult to achieve this in real time. Therefore, instead of pixel-level integration, which is highly susceptible to differences in appearance, Fujitsu developed a technology that uses cameras to assess the space using 3D scene graphs, i.e., hierarchical data structures that organize all objects in the physical space as points on a graph. This approach minimizes the impact of field of view and distortion, enabling real-time understanding of complex, dynamically changing real-world spaces.2. Prediction of future states/behaviors by modeling the interactions of people, robots, and objectsFor humans and robots to be able to work together smoothly, robots have to be able to understand the intentions behind human actions and predict how they will behave in the future. World model technologies that enable robots to predict changes and act in their immediate surroundings are being widely researched, but so far they have been limited to modeling only the immediate environment and have not yet been able to grasp the dynamic changes throughout an entire space.Fujitsu’s newly developed method accurately estimates behavioral intentions by interpreting causal relationships from the diverse interactions between actors and objects in a space. By using this data to predict future actions, the technology can help to avoid collisions and generate optimal cooperative action plans for multiple autonomous robots.In academic public benchmark data tests, it was confirmed that this technology can improve the accuracy of estimating behavioral intentions by 3x [1]. Figure: Diagram of the spatial world model technology. BackgroundAI technology, which has primarily developed in digital spaces, is now being applied to real world scenarios. “Physical AI” is a field of AI technology where AI is trained to understand physical laws and act autonomously and it will play a key role in solving various real-world challenges, such as in autonomous driving and smart factories. It is attracting significant attention as a potential means of helping with Japan’s worsening labor shortage and improving industrial productivity.However, current physical AI applications are mainly limited to structured environments with defined pathways like manufacturing sites or logistics warehouses. In residential homes and offices, where human movements are less predictable and object arrangements frequently change, it is difficult to for AI to assess spatial dynamics, making current solutions impractical. Furthermore, in environments where large numbers of people and robots must work together, cooperation is currently difficult because the AI cannot understand the intentions behind others' movements.This new technology is based on Fujitsu’s Computer Vision technology, primarily used for human flow analysis in commercial facilities and abnormal behavior detection in crime prevention, as well as its digital AI technology, including the Fujitsu Kozuchi AI Agent which autonomously carries out tasks with human counterparts. It is part of the research efforts of the Spatial Robotics Research Center which Fujitsu established in April 2025 to step up its research toward realizing a new society where humans and robots coexist.[1] JRDB-Social:A benchmark for estimating human behavior and intentions from camera footage.Fujitsu's Commitment to the Sustainable Development Goals (SDGs)The Sustainable Development Goals (SDGs) adopted by the United Nations in 2015 represent a set of common goals to be achieved worldwide by 2030.Fujitsu's purpose - "to make the world more sustainable by building trust in society through innovation" - is a promise to contribute to the vision of a better future empowered by the SDGs.About FujitsuFujitsu's purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers around the globe, our 113,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: AI, Computing, Networks, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$23 billion) for the fiscal year ended March 31, 2025 and remains the top digital services company in Japan by market share. Find out more: global.fujitsuPress ContactsFujitsu LimitedPublic and Investor Relations DivisionInquiries  Copyright 2025 JCN Newswire via SeaPRwire.com. All rights reserved. www.jcnnewswire.com

KAWASAKI, Japan, Dec 2, 2025 - (JCN Newswire via SeaPRwire.com) - Fujitsu Limited today announced the establishment of Frontria, an international consortium bringing together over 50 global organizations to collaboratively address the escalating challenges of AI-generated disinformation, misinformation, AI system vulnerabilities, and regulatory compliance. This initiative aims to foster a healthy and resilient digital society by pooling cutting-edge technologies and expertise to enhance information reliability and ensure AI trustworthiness and security.   Frontria will serve as a dynamic platform for participating organizations to share their technological capabilities, identify challenges, articulate needs, and collectively drive risk mitigation and transformative solutions from a global perspective.Frontria aims to rapidly create concrete applications and services, and by quickly sharing information about their use cases, it will seek to promote the adoption of technological IP that enhances the reliability and safety of AI technology and counters misinformation. In fiscal year 2025, the consortium will commence activities with participating organizations from Japan, Europe, North America, India, Australia, and other regions. It will engage with organizations across diverse industries worldwide to expand the consortium's scale and create new use cases in sectors such as finance, insurance, media, entertainment, legal, and AI businesses. By the end of fiscal year 2026, the consortium aims to have over 100 global participating organizations, generating multiple IP business cases. Figure 1: Goal and aims of the consortium Figure 2: "Frontria" website The international consortium "Frontria" website. Global collaboration for a trusted digital futureWhile generative AI offers profound benefits, it also presents significant risks: the spread of disinformation, AI system vulnerabilities, and the urgent need for regulatory compliance (e.g., EU AI Act) [1]. With disinformation alone causing an estimated 12.2 trillion yen in economic losses in 2023 [2], and businesses facing financial risks from non-compliance and cyberattacks, these complex issues demand a collaborative, multi-sector approach. Frontria will address these by focusing on disinformation countermeasures, AI trustworthiness and security, driving technological advancement through industry insights and fostering innovative applications and business models.Frontria's activitiesFrontria will establish a global community centered on a "technology pool," uniting innovation partners, technology IP providers, data providers, engineering partners, and incubators. This collaborative environment will foster new ideas and solutions.Initially, three community groups will focus on disinformation countermeasures, AI trustworthiness, and AI security, with industry-specific working groups to refine technologies and create applications. A developer community will also accelerate core technology development through knowledge sharing and competitions. Figure 3: Roles of participating organizations in the consortium Collaborative platform for co-creation with cutting-edge technologyThrough Frontria, Fujitsu will provide participating organizations with trial access to its core AI technologies for disinformation countermeasures, AI trustworthiness (including fairness), and AI security (such as fake detection for fraud). By fostering collaboration, Frontria will refine existing technologies, generate new ideas and use cases, leverage IP and data, support application development, and drive market expansion, creating monetization opportunities while solving critical societal issues and enhancing organizational value.Participating organizations and experts (as of December 2, 2025): Activ8 Inc., AKOS AI SRL, All About, Inc., Amadeus Code Inc., ASCII STARTUP, Atlas Associates Inc., Bengo4.com Inc., Prof. Oreste Pollicino (Bocconi University), Cloudy Soft, CROSS Business Producers Inc., Dai-ichi Life Holdings Inc., DAIKO ADVERTISING INC., DAIKO WEDO creative & development Inc., Daiwa Institute of Research Ltd., Data Resources Inc., Digirow K.K., Digital Content Association of Japan, Fileforce Inc, Fujitsu Limited, Glocalist Co., Ltd., Prof. Nicolas Lesca (University Grenoble Alpes), Prof. Amélie Favreau (University Grenoble Alpes), G-Search Limited, Indian Institute of Technology Delhi, InfoCom Research Inc., Prof. Shinichi Yamaguchi (International University of Japan), Intesa Sanpaolo, LARUS Business Automation S.r.l., LY Corporation, Prof. Ananiadou Sophia (The University of Manchester), Doctor Batista-Navarro Riza Theresa (The University of Manchester), Prof. Junichi Tsujii (AIST & The University of Manchester), Meiji Yasuda Life Insurance Company, Meltwater Japan, Miotsukushi Analytics Co. Ltd., Miura & Partners, Mizuho Financial Group Inc., Associate Prof. Abhinav Dhall (Monash University), Mori Hamada & Matsumoto, MS&AD Insurance Group Holdings Inc., Nebuly, Oki Electric Industry Co. Ltd., Prof. Shin'ichi Arakawa (The University of Osaka), POCKET RD Inc., Ridgelinez Limited, Prof. Kazutoshi Sasahara (Institute of Science Tokyo), Center for Education in Healthcare Innovation, Institute of Science Tokyo, Consortium for Medical and Drug Discovery Data Science, SIA Media Inc, Sparticle Inc., Spectee Inc., TDSE Inc., TOEI ADVERTISING Ltd., Tohoku University, Tokio Marine Holdings, Inc., Prof. Masaki Aida (Tokyo Metropolitan University), Trusted Corporation, Uber AI Solutions.For comments from participating organizations and information regarding company HQs please refer to these links:LINK 1LINK 2[1] EU AI Act (European AI Regulation Law):Effective August 2024, the EU AI Act aims to ensure the safe use and trustworthiness of AI. It classifies AI systems based on their risk levels and mandates that AI systems address these risks while protecting people's health, safety, and fundamental human rights.[2] Source: THE ECONOMIC COST OF BAD ACTORS ON THE INTERNETFujitsu's Commitment to the Sustainable Development Goals (SDGs)The Sustainable Development Goals (SDGs) adopted by the United Nations in 2015 represent a set of common goals to be achieved worldwide by 2030.Fujitsu’s purpose - "to make the world more sustainable by building trust in society through innovation" - is a promise to contribute to the vision of a better future empowered by the SDGs.About FujitsuFujitsu's purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers around the globe, our 113,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: AI, Computing, Networks, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$23 billion) for the fiscal year ended March 31, 2025 and remains the top digital services company in Japan by market share. Find out more: global.fujitsuPress ContactsFujitsu LimitedPublic and Investor Relations DivisionInquiries  Copyright 2025 JCN Newswire via SeaPRwire.com. All rights reserved. www.jcnnewswire.com