日期: 2026 年 2 月 3 日

KARIYA, JAPAN, Feb 3, 2026 - (JCN Newswire via SeaPRwire.com) - DENSO, a leading mobility supplier, today announced global financial results for the third quarter, ending December 31, 2025, of its fiscal year, ending March 31, 2026:Consolidated revenue totaled 5,495.5 billion yen (US$35.2 billion), a 3.9 percent increase from the previous year.Consolidated operating profit totaled 375.9 billion yen (US$2.4 billion), a 6.4 percent decrease from the previous year.Consolidated profit attributable to owners of the parent company totaled 273.7 billion yen (US$1.8 billion), a 12.5 percent decrease from the previous year.“Even with the yen appreciating compared to the previous year, revenue for the current fiscal year increased compared to last, driven by higher vehicle sales in North America, Japan, and Asia, as well as price reflection,” said Yasushi Matsui, CFO, executive vice president and member of the Board of Directors of DENSO. “However, operating profit declined year-over-year due to rising parts costs, tariff impacts, quality-related provisions, and R&D expenditures, despite the positive impact from business improvement and production volume.”“In this fiscal year, we forecast 7,420.0 billion yen (US$47.5 billion) in revenue and 535.0 billion yen (US$3.4 billion) in operating profit. Our revenue forecast reflects weaker yen and cost recovery. Operating profit incorporates the rising parts costs, tariff impacts, quality-related provisions, and R&D expenditures.”In Japan, revenue increased to 3,225.1 billion yen (US$20.6 billion), up 3.3 percent from the previous year, and operating profit decreased to 117.0 billion yen (US$748.3 million), down 34.2 percent from the previous year.In North America, revenue increased to 1,475.5 billion yen (US$9.4 billion), up 8.0 percent from the previous year, and operating profit increased to 74.9 billion yen (US$479.3 million) up 3.3 percent from the previous year.In Europe, revenue increased to 557.7 billion yen (US$3.6 billion), up 3.9 percent from the previous year, and operating profit increased to 17.0 billion yen (US$108.7 million), up 246.8 percent from the previous year. In Asia, revenue increased to 1,466.9 billion yen (US$9.4 billion), up 0.3 percent from the previous year and operating profit increased to 145.4 billion yen (US$930.5 million), up 15.6 percent from the previous year.In other regions, revenue increased to 91.8 billion yen (US$0.6 billion), up 2.1 percent from the previous year, and operating profit decreased to 18.1 billion yen (US$115.7 million), down 2.8 percent from the previous year. Forecast for Fiscal Year Ending March 31, 2026Revenue  7,420.0 billion yen[US$47.5 billion] +180.0 billion yen(+2.5 percent) +258.2 billion yen(+3.6 percent) Operating profit 535.0 billion yen[US$3.4 billion] -116.0 billion yen(-17.8 percent) +16.0 billion yen(+3.1 percent) Profit before profit taxes 604.0 billion yen[US$3.9 billion] -110.0 billion yen(-15.4 percent) +26.0 billion yen(+4.5 percent) Profit attributable to owners of the parent company 420.0 billion yen[US$2.7 billion] -77.0 billion yen(-15.5 percent) +0.9 billion yen(+0.2 percent) ROE 8.1 percent -1.7 %pt+0.1 %pt  The above forecasts are created based on information obtained by the date of this announcement, and the actual results may differ due to various causes in the future. U.S. dollar amounts have been translated, for convenience only, at the rate of 156.30 yen = US$1, the approximate exchange rate prevailing in the Tokyo Foreign Exchange Market on December 30, 2025. Billion is used in the American sense of one thousand million. Foreign exchange rates of the Forecast for Fiscal Year Ending March 31, 2026, as a precondition are US$=150.3 yen, Euro=173.9 yen, CNY=21.1 yen, and from the fourth quarter onward, foreign exchange rate assumptions are US$=155.0 yen, Euro= 180.0 yen, CNY=22.0 yen.About DENSO CORPORATIONGlobally headquartered in Kariya, Japan, DENSO is a 7,161.8 billion yen leading mobility supplier that develops advanced technology and components for nearly every vehicle make and model on the road today. With manufacturing at its core, DENSO invests in around 180 facilities worldwide to provide opportunities for rewarding careers and to produce cutting-edge electrification, powertrain, thermal and mobility electronics products, among others, which change how the world moves. In developing such solutions, the company’s 158,000 global employees are paving the way to a mobility future that improves lives, eliminates traffic accidents, and preserves the environment. DENSO spent around 8.6 percent of its global consolidated sales on research and development in the fiscal year ending March 31, 2025. For more information about DENSO’s operations worldwide, visit https://www.denso.com/global Copyright 2026 JCN Newswire via SeaPRwire.com. All rights reserved. www.jcnnewswire.com

KAWASAKI, Japan, Feb 3, 2026 - (JCN Newswire via SeaPRwire.com) - Fujitsu today announced that it has collaborated with a central government agency in Japan to conduct a demonstration experiment utilizing its Takane [1] large language model (LLM) in public comment operations. The experiment, conducted in 2025, successfully automated advanced tasks such as classifying opinions by support/opposition and summarizing them, demonstrating improved operational efficiency and quality. The agency's officials confirmed the effectiveness of the system. Based on the results of this demonstration experiment, Fujitsu is developing a generative AI service that can be applied comprehensively to policy formulation and legislation, aiming for provision by fiscal year 2026.In addition to the above, Fujitsu is also planning for the construction of AI workflows that systematically integrate appropriate AI models and tools throughout the entire legislative drafting process, which involves extensive research into related laws and coordination with various stakeholders, and the development of AI agents that autonomously support complex research and coordination tasks arising within these processes. Fujitsu will support government initiatives for AI infrastructure development and generative AI utilization, such as Government AI, and aims to provide a generative AI service by fiscal year 2026 that can be comprehensively applied to policy formulation and legislation processes requiring the robust Japanese language capabilities of Takane.Results of the Proof-of-Concept (PoC)In conventional Japanese governmental public comment operations, officials read and classify submitted opinions, analyze trends, draft responses to each opinion, and then consider government policy. This process can take over a month until the results are announced.In this demonstration experiment, Fujitsu verified the efficiency improvements achieved by utilizing Takane with past public comment data. By applying Takane to approximately 120,000 characters of actual public comment data received by the central government agency that conducted this experiment, tasks such as classifying opinions by support/opposition and summarizing them, which were previously performed manually, were automated and completed in about 10 minutes. This demonstrated the potential for officials to focus on reviewing the output. Furthermore, in checking the consistency between draft laws, which are the subject of public comments, and individual opinions, Takane was able to correctly identify the relevant clauses in the draft law for over 80% of the opinions when both the draft law and opinions were input. This confirmed the potential for significant labor savings compared to manual linking.These results suggest that by reducing the time administrative officials spend organizing opinions, they can allocate more time to more critical decision-making tasks, such as deliberating the content of opinions and reflecting them in policy.Utilizing digital technologies, including generative AI, to enhance public comment operations, is also considered an important initiative from the perspective of EBPM (Evidence-Based Policy Making).Figure: Overview of the PoCBackgroundPublic comment in rulemaking by national and local governments is a crucial mechanism to ensure that citizens affected by these rules have the opportunity to express their opinions directly. However, for topics of high public interest, administrative officials can receive many thousands of submissions, leading to unmanageable review workloads. This could lead to public opinion not being appropriately reflected in policy and an erosion of public trust.The central government agency that conducted this demonstration experiment places importance on utilizing digital technology to reduce the burden on officials and improve the quality of public opinion reflection. In collaboration with Fujitsu, the agency undertook this demonstration experiment to apply generative AI to public comment aggregation and analysis, a task highlighted by the Digital Agency in its verification of generative AI utilization.[1] Takane:A large language model co-developed by Fujitsu and Cohere Inc.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 2026 JCN Newswire via SeaPRwire.com. All rights reserved. www.jcnnewswire.com

TOKYO, Feb 3, 2026 - (JCN Newswire via SeaPRwire.com) - Olympus Corporation (Olympus), a global MedTech company committed to making people’s lives healthier, safer and more fulfilling, today announced publication of the EAGLE Trial1 — a multicenter randomized controlled study evaluating the CADDIE™ device, the first cloud-based Computer-Aided Detection (CADe) application for real-time polyp detection during colonoscopy that is both FDA-cleared and CE-marked. The CADDIE software is the first solution introduced as part of the OLYSENSE™ Intelligent Endoscopy Ecosystem.The cloud-based CADDIE™ device for computer-aided detection indicates a potential polyp during a colonoscopy procedure.The trial indicates that cloud-deployed AI can help endoscopists detect the lesions that matter most in preventing progression to cancer2-5 — large adenomas, particularly those flat in morphology, and sessile serrated lesions (SSLs) — without disrupting safety or workflow. The study has been published in npj Digital Medicine.1EAGLE Trial OverviewThe EAGLE (Evaluation of AI for detection of Gastrointestinal Lesions in Endoscopy) study was conducted across eight centers in four European countries6, and its primary analysis involved 841 patients and 22 endoscopists performing screening and surveillance colonoscopies. Patients were randomized to standard colonoscopy or CADDIE-assisted colonoscopy.Key FindingsImproved detection of high-risk and hard-to-detect lesions In screening and surveillance patients, use of the CADDIE™ application was associated in this study with 7.3% absolute increase in adenoma detection rate (ADR), compared to standard colonoscopy. Moreover, significant relative increases in lesions detected per colonoscopy were observed in this study for clinically relevant lesion subtypes: 93% for large (>10 mm) adenomas, 57% for non-polyploid adenomas and 230% for SSLs.Feasible　and　efficient　real-time　cloud-based　deployment The system demonstrated real-time performance and operational efficiency across diverse testing environments.Clinically Relevant by DesignThe CADDIE™ application is trained on a dataset enriched in clinically relevant and hard-to-detect lesions, including flat sessile serrated lesions (SSLs) and large polyps (≥10 mm).Lesions with sessile or flat morphology are difficult to detect and can harbor clinically relevant pathology. SSLs, in particular, are high-risk lesions whose detection is critical to reducing the risk of post-colonoscopy colorectal cancer3-4. The ability to reliably detect SSLs is increasingly viewed as a critical quality consideration in colonoscopy7. This study demonstrates increased detection of clinically relevant lesions and no increase in unnecessary resections, addressing some of the concerns raised in recent guidelines8-9.  Why Cloud Matters?The CADDIE™ application leverages a cloud architecture that uses industry standard security controls. Cloud deployment offers hospitals flexibility, reducing reliance on hardware and enabling subscription-based procurement models. This approach can democratize access to advanced AI tools and lays the foundation for future AI applications in endoscopy.Expert Perspectives“This study marks a pivotal shift in the clinical translation of AI-assisted endoscopy,” said Rawen Kader, Principal Investigator of the EAGLE Trial and GI Researcher at University College London. “Cloud deployment can remove hardware barriers and give hospitals access to the latest AI innovations, which has the potential of improving detection of the lesions that matter most for reducing colorectal cancer risk.”“The publication of EAGLE study in a high-impact journal like npj Digital Medicine is a pivotal moment for Olympus, supporting clinical adoption of the CADDIE™ device as an AI solution that can enhance detection of clinically relevant lesions without compromising safety or efficiency,” said Miquel Àngel García, Executive Vice President and General Manager, Gastrointestinal Business Unit, Olympus Corporation.“The EAGLE trial demonstrates how cloud‑based AI can be translated into routine endoscopy at scale,” said Peter Mountney, CEO of Odin Vision and Vice President, AI Unit, Olympus Corporation. “By delivering AI in real time through the cloud, we can help accelerate innovation and enable hospitals around the world to benefit from our latest, evidence‑based technologies to support clinicians and enhance the quality of care.”For complete access to the EAGLE Trial study, visit: www.nature.com/articles/s41746-025-02270-1Fair Balance StatementThe gastroenterologist is responsible for reviewing CADDIE suspected polyp areas and confirming the presence or absence of a polyp based on their own medical judgment.CADDIE is not intended to replace a full patient evaluation, nor is it intended to be relied upon to make a primary interpretation of endoscopic procedures, medical diagnosis, or recommendations of treatment/course of action for patients. The CADDIE computer-assisted detection device is limited for use with standard white-light endoscopy imaging only.1. Kader R, Hassan C, Lanas Á, et al. A novel cloud-based artificial intelligence for real-time detection of colorectal neoplasia – a randomized controlled trial (EAGLE). npj Digit.l Med.. Published online December 26, 2025.  https://doi.org/10.1038/s41746-025-02270-1  2. Nguyen LH, Goel A, Chung DC. Pathways of Colorectal Carcinogenesis. Gastroenterology. 2020;158(2):291-302. doi:10.1053/j.gastro.2019.08.0593. Anderson JC, Hisey W, Mackenzie TA, et al. Clinically significant serrated polyp detection rates and risk for postcolonoscopy colorectal cancer: data from the New Hampshire Colonoscopy Registry. Gastrointest Endosc. 2022;96(2):310-317. doi:10.1016/j.gie.2022.03.0014. Toledo DEFWMv, IJspeert JEG, Bossuyt PMM, et al. Serrated polyp detection and risk of interval post-colonoscopy colorectal cancer: a population-based study. Lancet Gastroenterol Hepatol. 2022;7(8):747-754. doi:10.1016/s2468-1253(22)00090-55. Soetikno RM. Prevalence of Nonpolypoid (Flat and Depressed) Colorectal Neoplasms in Asymptomatic and Symptomatic Adults. JAMA. 2008;299(9):1027. doi:10.1001/jama.299.9.10276.  Italy, Germany, Spain, Poland7. Rex DK, Anderson JC, Butterly LF, et al. Quality indicators for colonoscopy. Gastrointest Endosc. 2024;100(3):352-381. doi:10.1016/j.gie.2024.04.29058. Bretthauer M, Ahmed J, Antonelli G, et al. Use of computer-assisted detection (CADe) colonoscopy in colorectal cancer screening and surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy. Published online 2025:. doi:10.1055/a-2543-03709. Sultan S, Shung DL, Kolb JM, et al. AGA Living Clinical Practice Guideline on Computer-Aided Detection–Assisted Colonoscopy. Gastroenterology. 2025;168(4):691-700. doi:10.1053/j.gastro.2025.01.002About OlympusAt Olympus, we are committed to Our Purpose of making people’s lives healthier, safer and more fulfilling. As a global medical technology company, we partner with healthcare professionals to provide innovative solutions and services for early detection, diagnosis and minimally invasive treatment, aiming to improve patient outcomes by elevating the standard of care in targeted disease states. For more than 100 years, Olympus has pursued a goal of contributing to society by producing products designed with the purpose of delivering optimal outcomes for its customers around the world. For more information, visit olympus-global.com and follow us on LinkedIn.Media contact:Mail: Global-Public_Relations@olympus.comOlympus Corp [TYO: 7733] [ADR: OLYMY] [STU: OLY1] [FRA: OLYS] https://www.olympus-global.com  Copyright 2026 JCN Newswire via SeaPRwire.com. All rights reserved. www.jcnnewswire.com