日期: 2026 年 2 月 2 日

MIAMI, FL, Feb 2, 2026 - (ACN Newswire via SeaPRwire.com) - Digi Power X Inc. ("Digipower X" or the "Company") (Nasdaq:DGXX)(TSXV:DGX), a vertically integrated AI infrastructure company focused on the deployment of Tier-3 modular data centers powered by owned and controlled energy assets, today announced that Hans Vestberg, former Chairman and Chief Executive Officer of Verizon Communications, has joined the Company as a senior advisor serving on its Advisory Board to support the Company's expansion strategy.Mr. Vestberg brings more than three decades of global leadership in mission-critical infrastructure, telecommunications networks, and large-scale capital deployment. He is widely recognized for leading Verizon's first commercial 5G deployment in 2018 and for advancing nationwide fiber, mobile edge computing, and next-generation network architectures.Prior to Verizon, Mr. Vestberg spent nearly three decades at Ericsson, including almost seven years as its Chief Executive Officer, where he helped build and operate global infrastructure facilitating approximately 35% of worldwide mobile traffic.Mr. Vestberg's appointment comes at a time when AI adoption is increasingly constrained, not by software or silicon, but by power availability, cooling capacity, and deployment speed. Digipower X is working on addressing this challenge through the deployment of the AI-Ready Modular Solution (ARMS) platform, designed to deliver Tier-3 modular AI data centers within approximately 180 days, supported by a vertically integrated power strategy and a growing portfolio of large-scale energy assets."Hans Vestberg built and scaled the physical infrastructure that helped enable the fiber, mobile, and 5G revolutions," said Michel Amar, Chairman and Chief Executive Officer of Digipower X. "He understands what most of the market overlooks: AI's bottleneck isn't algorithms or chips, it's power, cooling, and deployment speed. Hans knows how to execute infrastructure transformation at a national and global scale, and we expect his guidance will be invaluable as we expand our modular AI data center footprint.""I've spent over 30 years building the networks that move data," said Mr. Vestberg. "The next decade is about building the infrastructure that processes it. Digipower X is more than just a data center company. It controls its power, is developing the ability to deploy Tier-3 infrastructure in the near term, and is building a modular platform to address the exact constraints holding back large-scale AI deployment. Its focus on power availability and deployment speed first, real estate second, is exactly the right approach."Infrastructure Experience Aligned with AI ScaleDuring his tenure at Ericsson (2010-2016), Mr. Vestberg led more than 115,000 employees worldwide and positioned the company at the forefront of next-generation wireless technologies. At Verizon (2018-2025), he reshaped the organization around a network-first strategy, oversaw major investments in spectrum and fiber, and advanced distributed edge-compute capabilities to enable data-intensive and latency-sensitive applications.Mr. Vestberg insightfully noted at Davos 2024 that "one of the most important infrastructures of this century is digital infrastructure," and that AI workloads will increasingly migrate from centralized hyperscale facilities toward distributed locations supporting real-time inference and enterprise demand.Mr. Vestberg currently serves as a board member of BlackRock and Verizon.Addressing the Power and Deployment Constraint in AI InfrastructureDigipower X operates a combined-cycle power plant and three additional operating sites, with more than 200 megawatts of power currently online. The Company has secured development capacity to support AI infrastructure expansion over the next three years, with the ability to develop up to an additional 1.5 gigawatts of power capacity, including at major sites in North Carolina and West Virginia.In West Virginia, Digipower X has entered into a letter of intent relating to a 1.3-gigawatt power plant, which is being evaluated as a long-term site for AI data center and advanced computing infrastructure deployment."Hans recognizes that national AI competitiveness depends on solving power availability and deployment speed," said Gerard Rotonda, Board Member of Digipower X and former CFO of Deutsche Bank Wealth & Asset Management Americas. "His experience aligns directly with Digipower X's mission to deliver infrastructure at the scale and speed this market now requires."Vestberg's Strategic FocusIn his advisory role, Mr. Vestberg will work closely with Digipower X's executive team on:AI infrastructure deployment strategy and scaling frameworks;Distributed and edge-compute architectures for inference-driven workloads;Strategic partnerships with hyperscalers, enterprises, and infrastructure stakeholders;Power optimization and energy-efficient data center design;Tier-3 redundancy and mission-critical reliability standards; andInternational expansion strategy and site prioritization.About Digipower XDigipower X is an innovative energy infrastructure company that develops Tier III-certified modular AI data centers and drives the expansion of sustainable energy assets.For further information, please contact:Michel Amar, Chief Executive OfficerDigipower X Inc.www.digipowerx.comInvestor RelationsT: 888-474-9222Email: IR@digihostpower.comCautionary StatementTrading in the securities of the Company should be considered highly speculative. No stock exchange, securities commission or other regulatory authority has approved or disapproved the information contained herein. Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.Forward-Looking StatementsExcept for the statements of historical fact, this news release contains "forward-looking information" and "forward-looking statements" (collectively, "forward-looking information") that are based on expectations, estimates and projections as at the date of this news release and are covered by safe harbors under Canadian and United States securities laws. Forward-looking information in this news release includes information about the Company's expectations concerning the potential contributions by our new advisor to the Company's strategic efforts, the potential further improvements to profitability and efficiency across the Company's operations, including, as a result of the Company's expansion efforts, potential for the Company's long-term growth and clean energy strategy, and the business goals and objectives of the Company. Factors that could cause actual results to differ materially from those described in such forward-looking information include, but are not limited to: delivery of equipment and implementation of systems may not occur on the timelines anticipated by the Company or at all; future capital needs and uncertainty of additional financing; share dilution resulting from equity issuances; risks relating to the strategy of maintaining and increasing Bitcoin holdings and the impact of depreciating Bitcoin prices on working capital; statements regarding the timing, scale and expansion of AI and high-performance computing infrastructure; changes in demand for AI and high-performance computing; future data center capacity may not be realized at the level anticipated by the Company, or at all; development of additional facilities and installation of infrastructure to expand operations may not be completed on the timelines anticipated by the Company, or at all; ability to access additional power from the local power grid; the Company may not be able to profitably liquidate its current digital currency inventory, or at all; a decline in digital currency prices may have a significant negative impact on the Company's operations; the volatility of digital currency prices; and other related risks as more fully set out in the Annual Information Form of the Company and other documents disclosed under the Company's filings at www.sedarplus.ca and www.SEC.gov/EDGAR. The forward-looking information in this news release reflects the current expectations, assumptions and/or beliefs of the Company based on information currently available to the Company. In connection with the forward-looking information contained in this news release, the Company has made assumptions about, among other things, profitable use of the Company's assets going forward; the demand for data center capacity for AI and high-performance computing; and there will be no regulation or law that will prevent the Company from operating its business. The Company has also assumed that no significant events occur outside of the Company's normal course of business. Although the Company believes that the assumptions inherent in the forward-looking information are reasonable, forward-looking information is not a guarantee of future performance and accordingly undue reliance should not be put on such information due to the inherent uncertainties therein. The Company undertakes no obligation to revise or update any forward-looking information other than as required by applicable law.SOURCE: Digi Power X Inc. Copyright 2026 ACN Newswire via SeaPRwire.com. All rights reserved. www.acnnewswire.com

NEEDHAM, MA, Feb 2, 2026 - (ACN Newswire via SeaPRwire.com) - Bioxytran, Inc. (OTCQB: BIXT) (“Bioxytran” or the “Company”), a clinical-stage biotechnology company developing platform technologies spanning glycovirology, hypoxia, and degenerative diseases, announced the execution of a Sponsored Research Agreement with the University of Minnesota to support advanced biochemical research aimed at improving the understanding and development of novel polysaccharide and oligosaccharide interactions with biologically relevant targets.Under the agreement, research will be conducted at the University of Minnesota under the direction of Dr. Kevin Mayo, a recognized expert in biomolecular structure and nuclear magnetic resonance spectroscopy The collaboration is designed to further characterize carbohydrate-binding interactions that may play a role in future therapeutic and diagnostic applications.“This collaboration with the University of Minnesota represents an important step in strengthening the scientific foundation behind our carbohydrate-based technology platform,” said David Platt, CEO of Bioxytran. “By leveraging the University’s deep expertise in structural biology and advanced nuclear magnetic resonance spectroscopy, we aim to generate high-quality data that supports the continued evolution of our research and development pipeline.”Research FocusThe sponsored research program will explore how specific polysaccharides and related carbohydrate structures interact with target molecules relevant to biological systems. Using state-of-the-art nuclear magnetic resonance  methodologies, the research team will analyze binding interactions, structural conformations, and affinity characteristics of select carbohydrate compounds. The work is expected to build on Bioxytran’s existing research into carbohydrate-based materials and their potential applications across biomedical and life-science domains. Findings from the study may help guide future development strategies and inform additional preclinical research initiatives.Academic–Industry CollaborationThe agreement reflects a shared commitment to advancing scientific knowledge through collaboration between academia and industry. The University of Minnesota will carry out the research in accordance with its established academic standards, ensuring scientific rigor, transparency, and adherence to institutional research policies.This type of partnership exemplifies how academic research institutions and innovative companies can work together to address complex scientific questions,” said Dr. Kevin Mayo, Principal Investigator and Professor at the University of Minnesota. “Our goal is to apply advanced analytical tools to generate insights that are both scientifically meaningful and relevant to real-world applications.”Timeline and StructureThe research term is expected to run through early 2027, with defined milestones, periodic progress reviews, and structured reporting. Bioxytran will provide funding to support research personnel, nuclear magnetic resonance facility access, and associated laboratory resources required to execute the program. In accordance with standard sponsored research practices, the University of Minnesota will retain ownership of any intellectual property generated through the research, while Bioxytran will receive broad rights to use the resulting research data for internal research and development purposes.Strategic SignificanceFor Bioxytran, the collaboration supports a broader strategy focused on strengthening its scientific validation, expanding academic partnerships, and advancing next-generation carbohydrate technologies. The company believes that well-characterized molecular interactions are a critical step toward unlocking new therapeutic pathways and accelerating innovation.The University of Minnesota continues to be recognized globally for its leadership in biomedical research and technology transfer, making it an ideal partner for companies seeking to bridge fundamental science and commercial development.About the University of MinnesotaThe University of Minnesota is one of the nation’s leading public research universities, known for its commitment to discovery, innovation, and the translation of research into real-world impact. Through industry partnerships and sponsored research programs, the University fosters collaboration that advances science and benefits society.About Bioxytran, Inc.Bioxytran is a clinical-stage pharmaceutical company developing platform technologies in glycovirology, hypoxia and degenerative diseases using carbohydrate drug design, including programs that leverage galectin inhibition and programs that aim to address hypoxic conditions and tissue oxygenation. Bioxytran’s common stock trades on the OTCQB under the symbol BIXT.Company Contact:Bioxytran, Inc.75 Second Avenue, Needham, MA 02494Phone: 617‑454‑1199Email: info@Bioxytraninc.comWeb: www.Bioxytraninc.comForward-Looking StatementsThis press release contains forward-looking statements, including statements regarding anticipated regulatory interactions, future clinical trials, trial designs, timing of data submission and publication, and potential therapeutic and commercial opportunities. Forward-looking statements are based on current expectations and are subject to risks and uncertainties that could cause actual results to differ materially. Readers are urged to review the Company’s risk factors disclosed in its reports filed with the U.S. Securities and Exchange Commission, including its Annual Report on Form 10‑K for the year ended December 31, 2024. Copyright 2026 ACN Newswire via SeaPRwire.com. All rights reserved. www.acnnewswire.com

深圳, 2026年1月30日 - (亞太商訊 via SeaPRwire.com) - 康哲藥業控股有限公司 （「康哲藥業」）欣然宣佈，旗下德鎂醫藥有限公司（「德鎂醫藥」，專業聚焦皮膚健康的創新型醫藥企業，正申請於香港聯合交易所有限公司主板獨立上市，詳見康哲藥業日期為2025年4月22日發佈的公告）已於2026年1月30日獲得中國國家藥品監督管理局（NMPA）批准磷酸蘆可替尼乳膏（白癜風適應症）（「產品」）新藥上市許可申請（NDA）。產品用於治療12歲及以上兒童和成人患者伴面部受累的非節段型白癜風，是中國批准的首款且唯一用於白癜風治療的靶向藥，滿足巨大未被滿足的臨床需求。磷酸蘆可替尼乳膏是經美國食品和藥物管理局（FDA）及歐洲藥品管理局（EMA）批准的首款也是唯一一款用於非節段型白癜風複色的藥物[1,2]，在產品正式獲得NDA批准之前，康哲藥業受益於國家賦予海南自由貿易港及樂城先行區（「樂城先行區」）「先行先試」政策、「港澳藥械通」政策、北京市及天津自貿試驗區的臨床急需進口藥品政策，已啟動磷酸蘆可替尼乳膏的試點應用。目前博鰲超級醫院已為超7,000名非節段型白癜風患者開具磷酸蘆可替尼乳膏處方，且廣州、深圳、東莞、佛山、中山、珠海、江門、惠州、北京及天津共二十餘家醫院已提供該藥品處方服務，體現了其臨床價值。產品在境外臨床研究與中國真實世界研究中均展現出積極結果：其在境外開展的兩項相同設計的III期雙盲、隨機、安慰劑對照研究（TRuE-V1和TRuE-V2）中，產品治療24周後達到主要療效指標面部白癜風面積評分指數改善至少75%（F-VASI 75）的患者比例均為29.9%，顯著高於安慰劑組的7.5%和12.9%，持續使用至52周，複色效果持續[3]。根據樂城先行區藥品真實世界數據應用試點項目有關規定，磷酸蘆可替尼乳膏在中國開展真實世界研究，療效積極，與境外關鍵臨床研究結果一致。境內外臨床研究中所有的次要療效指標均顯示出與主要療效指標一致的獲益趨勢，且白癜風治療效果隨療程延長持續改善。同時，根據樂城先行區安全性監測數據，未發現新的安全性事件，未發生導致停藥或退出的不良事件（AE），未發生研究藥物相關的嚴重不良事件（SAE）。 此次產品白癜風適應症獲批，將為國內千萬白癜風患者帶來治療新希望，滿足市場迫切的臨床需求。同時，產品將進一步豐富德鎂醫藥在皮膚治療領域的產品矩陣，並有望與現有處於商業化階段的創新藥益路取（替瑞奇珠單抗注射液）、獨家藥喜遼妥（多磺酸粘多糖乳膏），以及系列在研創新藥和皮膚學級護膚品等在專家網絡與市場資源等方面產生協同，提升德鎂醫藥在皮膚健康領域的地位。此外，康哲藥業於中國開展的磷酸蘆可替尼乳膏治療輕中度特應性皮炎患者的III期臨床試驗，已取得陽性結果。截至目前，康哲藥業正在中國積極推進磷酸蘆可替尼乳膏治療特應性皮炎的新藥上市申請，如若獲批上市，將為中國廣大特應性皮炎患者群體提供新的治療選擇。關於白癜風適應症白癜風是一種慢性自身免疫性疾病，其特徵是皮膚色素脫失，其發病原因為產生色素的細胞即黑素細胞的缺失。據估算，中國約有1030萬人患有白癜風，其中約820萬人患有非節段型白癜風[4]。現有療法，如外用糖皮質激素（TCS）及外用鈣調神經磷酸酶抑制劑（TCIs）存在臨床缺陷，長期用藥有不良反應或療效有限。磷酸蘆可替尼乳膏NDA獲批，成功填補了白癜風靶向藥物治療的空白，具有重大標誌性意義。關於磷酸蘆可替尼乳膏的更多資訊磷酸蘆可替尼乳膏（Opzelura®）是Incyte開發的選擇性JAK1/JAK2抑制劑蘆可替尼製成的一種創新型乳膏，在美國獲批用於局部治療成人及12歲及以上患者的非節段型白癜風，及2歲及以上非免疫力功能低下患者的輕度至中度特應性皮炎的局部短期和非連續性慢性治療。在歐洲，磷酸蘆可替尼乳膏被批准用於治療成年及12歲及以上青少年面部受累的非節段型白癜風。康哲藥業於2022年12月2日，通過德鎂醫藥的附屬公司與Incyte就磷酸蘆可替尼乳膏訂立合作和許可協議（「許可協議」），獲得在中國大陸、香港特別行政區、澳門特別行政區、台灣地區及東南亞十一國（「區域」）研發、注冊及商業化產品的獨家許可權利，以及在區域內生產產品的非獨家許可權利。德鎂醫藥的附屬公司已將磷酸蘆可替尼乳膏除中國大陸外的其他區域的相關權利再許可予康哲藥業（不包括德鎂醫藥及其附屬公司）。Incyte擁有磷酸蘆可替尼乳膏全球開發和商業化權利，在美國及歐洲以Opzelura®的名稱銷售。Opzelura®和Opzelura®標識是Incyte的註冊商標。關於康哲藥業康哲藥業是一家鏈接醫藥創新與商業化，把控產品全生命週期管理的開放式平臺型企業，致力於提供有競爭力的產品和服務，滿足尚未滿足的醫療需求。康哲藥業專注於全球首創（FIC）及同類最優（BIC）的創新產品，並高效推進創新產品臨床研究開發和商業化進程，賦能科研成果向診療實踐的持續轉化，造福患者。康哲藥業聚焦專科領域，擁有被驗證的商業化能力，廣泛的渠道覆蓋和多疾病領域專家資源，核心在售產品已獲領先的學術與市場地位。康哲藥業圍繞優勢專科領域不斷縱深發展，以鞏固心腦血管/消化/眼科/皮膚健康業務競爭力，帶來專科規模效率，其中皮膚健康業務（德鎂醫藥）已成為其細分領域的龍頭企業，並擬於聯交所獨立上市。同時，康哲藥業持續推動研產銷全產業鏈在東南亞及中東區域運營發展，以獲取新興市場的增量，助力集團實現高質量可持續發展。參考文獻/資料1.FDA批准資訊可在Incyte官網查詢，網址：https://investor.incyte.com/news-releases/news-release-details/incyte-announces-us-fda-approval-opzeluratm-ruxolitinib-cream2.EMA批准資訊可在Incyte官網查詢，網址：https://investor.incyte.com/news-releases/news-release-details/incyte-announces-european-commission-approval-opzelurar3.相關臨床研究資訊可在Opzelura®官網查詢，網址：https://www.opzelura.com/opzelura-prescribing-information4.數據來自灼識諮詢報告康哲藥業免責與前瞻性聲明本新聞無意向您做任何產品的推廣，非廣告用途。本新聞不對任何藥品和-醫療器械和/或適應症作推薦。若您想瞭解具體疾病診療資訊，請遵從醫生或其他醫療衛生專業人士的意見或指導。醫療衛生專業人士作出的任何與治療有關的決定應根據患者的具體情況並遵照藥品說明書。由康哲藥業編制的此新聞不構成購買或認購任何證券的任何要約或邀請，不形成任何合約或任何其他約束性承諾的依據或加以依賴。本新聞由康哲藥業根據其認為可靠之資料及數據編制，但康哲藥業並無進行任何說明或保證、明述或暗示，或其他表述，對本新聞內容的真實性、準確性、完整性、公平性及合理性不應加以依賴。本新聞中討論的若干事宜可能包含涉及康哲藥業的市場機會及業務前景的陳述，該等陳述分別或統稱為前瞻性聲明。該等前瞻性聲明並非對未來表現的保證，存在已知及未知的風險、不明朗性及難以預知的假設。康哲藥業並不採納本新聞包含的第三方所做的任何前瞻性聲明及預測，康哲藥業對該等第三方聲明及預測不承擔責任。 Copyright 2026 亞太商訊 via SeaPRwire.com. All rights reserved. www.acnnewswire.com

TSUKUBA, Japan, Feb 2, 2026 - (ACN Newswire via SeaPRwire.com) - Modern industry relies heavily on catalysts, which are substances that speed up chemical reactions. They’re vital in everything from manufacturing household chemicals to generating clean energy or recycling waste. However, designing new catalysts is challenging because their performance is affected by many interacting factors.A new tool uses a catalyst gene profiling, where catalysts are represented as symbolic sequences, making it easier for scientists to interpret data and design catalysts without a need for programming skills.A new tool developed by researchers at Hokkaido University, published in Science and Technology of Advanced Materials: Methods, will simplify the process by providing researchers with a way to easily view and explore data about catalysts, enabling them to identify patterns and relationships in catalyst datasets without needing advanced programming or computational skills.The tool takes advantage of an approach known as catalyst gene profiling, where catalysts are represented as symbolic sequences. This makes it easier for scientists to interpret the data and apply sequence-based analysis methods to design and improve catalysts. The tool itself is a web-based graphical interface that offers an intuitive and interactive way to investigate these catalyst profiles.“The system enables researchers to explore complex catalyst datasets, identify global trends, and recognize local features—all without requiring advanced programming skills,” explains Professor Keisuke Takahashi, who led the study. “By visualizing both the relationships among catalysts and the underlying gene-based features, the platform makes catalyst design more interpretable, accessible, and efficient, bridging the gap between data-driven analysis and practical experimental insight.”Users can view catalysts clustered together based on how similar their features are or how similar their sequences are. The tool also includes a heat map that offers insights into how the catalyst gene sequences are calculated. The different visualizations can be viewed side by side and are synchronized so they all update simultaneously when a user zooms in or selects a group of catalysts.The team plans to extend the tool to work with other material science datasets so it can be used more broadly in the field. They’re also working to include a predictive component. Integrating modeling and editing strategies would mean researchers could use the tool not only to explore existing catalysts but also to investigate new ideas for high-performance materials. In addition, they want to improve the tool’s collaborative features so that several researchers can work together to explore and annotate datasets, enabling a community-oriented, data-driven approach to material design and discovery.“Our goal is to make advanced materials research more intuitive, approachable, and impactful,” says Takahashi.Further informationKeisuke TakahashiHokkaido University keisuke.takahashi@sci.hokudai.ac.jpPaper: https://doi.org/10.1080/27660400.2025.2600689 About Science and Technology of Advanced Materials: Methods (STAM-M)STAM Methods is an open access sister journal of Science and Technology of Advanced Materials (STAM), and focuses on emergent methods and tools for improving and/or accelerating materials developments, such as methodology, apparatus, instrumentation, modeling, high-through put data collection, materials/process informatics, databases, and programming. https://www.tandfonline.com/STAM-MDr Kazuya SaitoSTAM Methods Publishing Director SAITO.Kazuya@nims.go.jpPress release distributed by Asia Research News for Science and Technology of Advanced Materials. Copyright 2026 ACN Newswire via SeaPRwire.com. All rights reserved. www.acnnewswire.com