Artificial Intelligence
iCAD Presents Positive New Clinical Data for Xoft Brain IORT at American Society of Clinical Oncology (ASCO) 2020 Virtual Scientific Program
Promising clinical research supports Xoft brain IORT as a viable treatment option for glioblastoma multiforme that may extend patients’ lives
Overall survival benefit reached statistical significance in the IORT group with tumors less than or equal to 2.5 cm3 (p<0.05)NASHUA, N.H., May 13, 2020 (GLOBE NEWSWIRE) — iCAD, Inc. (NASDAQ: ICAD), a global medical technology leader providing innovative cancer detection and therapy solutions, today announced positive new clinical data supporting the Xoft® Axxent® Electronic Brachytherapy (eBx®) System® for the treatment of glioblastoma multiforme (GBM) will be presented at the American Society of Clinical Oncology (ASCO) 2020 Virtual Scientific Program, which will take place May 29-31, 2020.“This represents a significant milestone for the company, as it further validates Xoft intraoperative radiation therapy (IORT) in certain types of brain tumors and demonstrates the impact that this unique technology offers,” according to Michael Klein, Chairman and CEO of iCAD. “GBM is the most common and aggressive type of malignant primary brain tumor, with a median survival of 10-12 months.1,2 With almost 297,000 cases of brain and nervous system tumors diagnosed worldwide per year,3 this exciting new application for the Xoft System could substantially expand our addressable market, but more importantly, it has the potential to extend patients’ lives.”The study, titled “Intra-operative radiation therapy as salvage treatment option for recurrent glioblastoma multiforme,” (abstract #291893) was submitted to ASCO by Nidal Salim, MD, radiation oncologist and head of the radiotherapy center at the European Medical Center (EMC) in Moscow, one of the largest private medical clinics in Russia and an international leader in comprehensive care and oncology. It involved 30 patients with recurrent GBM who were treated between August 2016 and June 2019. All patients underwent maximal safe resection; 15 patients were treated with IORT without adjunctive chemotherapy, while the other 15 were treated with external beam radiation therapy (EBRT) and temozolomide. According to study findings, as of December 2019, median overall survival (OS) was 27 months in the IORT group, versus 21 months in the EBRT group. The local progression free survival (locPFS) range for the IORT group was between 3.5 to 39 months, versus 2 to 10 months in the EBRT group. As of December 2019, 8 patients from the IORT group were still alive, whereas none of the patients in the EBRT group survived. Kaplan-Meier OS curves in patients with post-operative contrast-enhancing volume (POCEV) of ≤ 2.5cm3 showed more favorable outcomes for patients in the IORT group (p < 0.05). Researchers concluded that IORT of recurrent GBM is feasible and provides encouraging local progression-free and overall survival, with a manageable toxicity profile.Positive preliminary clinical data from this study was presented in September 2019 by Alexey Gaytan, MD, PhD, neurosurgeon at the EMC at the European Association of Neurosurgical Societies (EANS) Congress in Dublin, Ireland.“After researching this modality for nearly four years, we are greatly encouraged by these clinical results and the benefits this treatment offers to patients. For the treatment of GBM, IORT with the Xoft System is a promising treatment option that may offer better outcomes for patients, with minimal side effects, compared to traditional radiation therapy,” according to the study’s lead researcher, Alexey Krivoshapkin, MD, PhD and neurosurgeon at the EMC. “This treatment option not only has the potential to increase overall survival, it may also enhance patients’ quality of life by allowing them to forego weeks of daily radiation fractions and instead spend that time with their families and loved ones.”Prof. Krivoshapkin will discuss these findings in a European Society for Radiotherapy (ESTRO) Virtual Satellite Symposium hosted by Xoft, titled “Intraoperative Radiation Therapy (IORT) for Brain Cancer: Local Tumor Control in Patients with Recurrent Glioblastoma,” on Thursday, May 14, at 8 am ET and Tuesday, May 19, at 12 pm ET. Registration is available for these events via this link: https://www.icadmed.com/educational-webinars.html.This research adds to the growing body of evidence that continues to support the Xoft System across multiple cancer types, including early-stage breast cancer, gynecological cancers, nonmelanoma skin cancers and recently, brain tumors. The Xoft System uses a miniaturized x-ray source to deliver a precise, concentrated dose of radiation directly to the tumor site, while minimizing risk of damage to healthy tissue in nearby areas of the body. Xoft brain IORT allows radiation oncologists and surgeons to work together to deliver a full course of radiation treatment in one day, at the time of surgery, while the patient remains under anesthesia. Once the tumor has been surgically removed, the Xoft System’s miniature x-ray source is inserted inside a flexible balloon-shaped applicator, which is then placed inside the tumor cavity, filled with saline, and used to deliver a single dose of radiation directly to the tumor bed. For the treatment of certain types of brain tumors, IORT with the Xoft System may allow appropriately selected patients to potentially replace weeks of post-operative external beam radiation therapy (EBRT) with a single fraction of radiation.“This research is particularly relevant as COVID-19 continues to be a major global health concern, as it is in line with recent clinical guidelines issued by several national medical societies that recommend an abbreviated course of radiation, when appropriate,4,5” noted Klein. “IORT with the Xoft System offers a transformative solution that may help to alleviate the burden placed on many hospitals and healthcare facilities during the COVID-19 de-escalation phase. The ability to treat patients with a full course of radiation in just one day may not only free up space in hospitals and allow clinicians to focus on other critical needs, it may reduce immunocompromised patients’ time in hospitals and minimize their potential exposure to the virus.”This research builds upon a retrospective analysis published last year in World Neurosurgery by Prof. Krivoshapkin, et al., which examined the repeat resection and the various methods of IORT for the treatment of malignant brain gliomas (MBGs), including high-energy linear accelerators and modern, integrated brachytherapy solutions using solid and balloon applicators.6 The conclusions of this review identified IORT with balloon applicators to be particularly promising.iCAD also recently announced the first metastatic brain tumor was treated in the U.S. with IORT using the Xoft System at the James Graham Brown Cancer Center at the University of Louisville. The procedure marked the start of a clinical trial on IORT for patients with large brain metastases treated with neurological resection with the Xoft System, led by Shiao Yuo Woo, MD, FACR, radiation oncologist, James Graham Brown Cancer Center at the University of Louisville.7“Our technology is world-class, and we remain steadfast in our mission to unlock its full potential as we explore the clinical development of FDA-cleared, CE marked Xoft technology across an ever-expanding array of various types of tumors,” Klein added.References:Tamimi AF, Juweid M. Epidemiology and Outcome of Glioblastoma. In: De Vleeschouwer S, editor. Glioblastoma [Internet]. Brisbane (AU): Codon Publications; 2017 Sep 27. Chapter 8. Accessed via https://www.ncbi.nlm.nih.gov/books/NBK470003. Pan E, Prados MD. Glioblastoma Multiforme and Anaplastic Astrocytoma. In: Kufe DW, Pollock RE, Weichselbaum RR, et al., editors. Holland-Frei Cancer Medicine. 6th edition. Hamilton (ON): BC Decker; 2003. Accessed via https://www.ncbi.nlm.nih.gov/books/NBK12526/. WHO, IARC, Globocan Cancer Incidence and Mortality Worldwide in 2018. Accessed via https://gco.iarc.fr/today/data/factsheets/populations/900-world-fact-sheets.pdf.American Society for Radiation Oncology (ASTRO) COVID-19 Recommendations to Radiation Oncology Practices. (2020). Accessed via https://www.astro.org/Daily-Practice/COVID-19-Recommendations-and-Information.The American Society of Breast Surgeons (ASBrS), the National Accreditation Program for Breast Centers (NAPBC), the National Comprehensive Cancer Network (NCCN), the Commission on Cancer (CoC) of the American College of Surgeons, and the American College of Radiology® (ACR®) joint recommendations. Recommendations for Prioritization, Treatment and Triage of Breast Cancer Patients During the COVID-19 Pandemic. (2020). Accessed via https://www.facs.org/-/media/files/quality-programs/napbc/asbrs_napbc_coc_nccn_acr_bc_covid_consortium_recommendations.ashx.Krivoshapkin A, et al. Repeat Resection and Intraoperative Radiotherapy for Malignant Gliomas of the Brain: A History and Review of Current Techniques. World Neurosurgery (2019) 132: 356-362. Accessed via https://doi.org/10.1016/j.wneu.2019.09.037.University of Louisville. Study of Intraoperative Radiotherapy for Patients With Large Brain Metastases Treated With Neurosurgical Resection. Accessed via https://clinicaltrials.gov/ct2/show/NCT04040400. ClinicalTrials.gov Identifier: NCT04040400.Conant, E et al. (2019). Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis. Radiology: Artificial Intelligence. 1 (4). Accessed via https://pubs.rsna.org/doi/10.1148/ryai.2019180096.About iCAD, Inc.Headquartered in Nashua, NH, iCAD is a global medical technology leader providing innovative cancer detection and therapy solutions.ProFound AI™ is a high-performing workflow solution for 2D and 3D mammography, or digital breast tomosynthesis (DBT), featuring the latest in deep-learning artificial intelligence. In 2018, ProFound AI for Digital Breast Tomosynthesis (DBT) became the first artificial intelligence (AI) software for DBT to be FDA-cleared; it was also CE marked and Health Canada licensed that same year. It offers clinically proven time-savings benefits to radiologists, including a reduction of reading time by 52.7 percent, thereby halving the amount of time it takes radiologists to read 3D mammography datasets. Additionally, ProFound AI for DBT improved radiologist sensitivity by 8 percent and reduced unnecessary patient recall rates by 7.2 percent.8The Xoft System is FDA-cleared, CE marked and licensed in a growing number of countries for the treatment of cancer anywhere in the body. It uses a proprietary miniaturized x-ray source to deliver a precise, concentrated dose of radiation directly to the tumor site, while minimizing risk of damage to healthy tissue in nearby areas of the body.For more information, visit www.icadmed.com and www.xoftinc.com.Forward-Looking StatementsCertain statements contained in this News Release constitute “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements about the future prospects for the Company’s technology platforms and products. Such forward-looking statements involve a number of known and unknown risks, uncertainties and other factors which may cause the actual results, performance or achievements of the Company to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. Such factors include, but are not limited, to the Company’s ability to achieve business and strategic objectives, the potential effectiveness of our product for the various suggested uses, our ability to extend patients’ lives, improve patient survival, offer a transformative solution, the impact of supply and manufacturing constraints or difficulties, uncertainty of future sales levels, to defend itself in litigation matters, protection of patents and other proprietary rights, product market acceptance, possible technological obsolescence of products, increased competition, government regulation, changes in Medicare or other reimbursement policies, risks relating to our existing and future debt obligations, competitive factors, the effects of a decline in the economy or markets served by the Company; and other risks detailed in the Company’s filings with the Securities and Exchange Commission. The words “believe,” “demonstrate,” “intend,” “expect,” “estimate,” “will,” “continue,” “anticipate,” “likely,” “seek,” and similar expressions identify forward-looking statements. Readers are cautioned not to place undue reliance on those forward-looking statements, which speak only as of the date the statement was made. The Company is under no obligation to provide any updates to any information contained in this release. For additional disclosure regarding these and other risks faced by iCAD, please see the disclosure contained in our public filings with the Securities and Exchange Commission, available on the Investors section of our website at http://www.icadmed.com and on the SEC’s website at http://www.sec.gov.Contacts:
Media inquiries:
Jessica Burns, iCAD
+1-201-423-4492
[email protected]Investor inquiries:
Jonathan Wexler, Scope Investor Relations, LLC
+1-203-247-8767
[email protected]
SHANGHAI, Sept. 20, 2024 /PRNewswire/ — During HUAWEI CONNECT 2024, Huawei Cloud hosted a Summit themed “One Step to Intelligence, One Leap to Excellence”, gathering global industry leaders to explore the intelligent transformation trend, share pioneering cases, and assist customers in their journey to cloud-based operational excellence. At the summit, Huawei Cloud and global customers, unveiled the Data Center-to-Cloud solution and the PRIME Framework white paper.
Jacqueline Shi, President of Huawei Cloud Global Marketing and Sales Service, said: “Customers’ support enables us to innovate with finance, retail, autonomous driving, the Internet and many other sectors. By combining cutting-edge technologies with industry know-how, Huawei Cloud paves your way to digital and intelligence.”
Kevin Gao, President of Huawei Cloud Public Cloud Business, presented a keynote speech “One Step to Intelligence, One Leap to Excellence”. He outlined three critical factors for accelerating cloud migration and AI use: global infrastructure, continuous technological innovation, and lean operations.
In terms of global infrastructure, Huawei Cloud’s global infrastructure, KooVerse, offers extensive coverage, exceptional experience, and excellent quality. With 33 Regions and 93 Availability Zones (AZs) worldwide, Huawei Cloud supports over 10,000 customers in achieving business globalization. Huawei Cloud has interconnected with over 2,400 peers of global carriers, ensuring one hop to cloud and global business deployment for customers. Huawei Cloud data centers achieve Tier IV reliability.
Technological innovation is at the heart of Huawei Cloud’s mission to accelerate enterprise transformation. At this summit, three key areas were highlighted: compute upgrade, data-AI convergence, and application innovation.
The Data Center-to-Cloud solution released by Gao offers data center facilities, intelligent O&M, and DCN as a service, allowing customers to easily relocate and run dedicated compute resources on Huawei Cloud.
Huawei Cloud’s Ascend AI Cloud Service enables training jobs to run non-stop up to 40 days, shortens the fault recovery time to 10 minutes, and increases the linear scalability to 90% (the industry average are 2.8 days, 60 minutes, and 80%, respectively).
Huawei Cloud’s deterministic operations system has been adopted by over 300 global customers, maintaining a strong security record with zero intrusions and zero data breaches.
DeFacto from Türkiye leverages Huawei Cloud’s cloud native solution with Cloud Container Engine (CCE) and streamlines their services.
Huawei Cloud helps Chery to deploy, use, and manage the cloud. Currently, Huawei Cloud nodes in more than 10 countries and regions are providing services for Chery.
NavInfo has adopted Huawei Cloud’s R&D expertise and CodeArts software development pipeline to establish efficient development management standards and efficiency measurement systems.
Kingsoft and Huawei Cloud have collaboratively developed an excellence framework to optimize cost management.
Tencent Music’s Tianqin Lab has developed the MUSELight AI model acceleration framework, utilizing Huawei Cloud’s Ascend AI Cloud Service.
At the end of the summit, Huawei Cloud and global customers jointly released the Enterprise Excellence PRIME Model White Paper. This white paper offers a reference framework for enterprises to leap to excellence with digital and intelligent technologies.
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Artificial Intelligence
Autonomous Mobile Robots (AMR) Market to cross $10 Billion TAM with around 500K AMRs shipment by 2030 – LogisticsIQ
NEW DELHI, Sept. 20, 2024 /PRNewswire/ — The global Autonomous Mobile Robots (AMRs) market is poised for significant growth, driven by increasing demand for automation across various sectors, including logistics, manufacturing, and healthcare. According to the latest market research by LogisticsIQ (5th Edition), Autonomous Mobile Robots (AMR) Market to cross $10 Billion TAM by 2030 with a CAGR of ~30% between 2024 and 2030. We expect the installed base of AMRs to reach 2 million units in 2030.
Download a Free Sample of our report on Autonomous Mobile Robots Market
Key Market Drivers
Increased Efficiency: Businesses are rapidly adopting AMRs to enhance operational efficiency, reduce labour costs, and streamline workflows.Labor Shortages: The ongoing labour shortages in various industries have accelerated the need for automated solutions, making AMRs a crucial investment for companies.Technological Advancements: Innovations in artificial intelligence (AI), machine learning, and sensor technology are making AMRs more capable and reliable.Growing E-Commerce: The rise of e-commerce has created a demand for efficient warehouse management solutions, further boosting the AMR market.Regional Insights
North America leads the AMR market, accounting for the largest share due to the early adoption of automation technologies. Meanwhile, the Asia-Pacific region, especially China is expected to witness the fastest growth, fuelled by rapid industrialization and increasing investments in smart factories. US and China are going to contribute ~40% of this market by 2030.
Industry Applications
Autonomous mobile robots are being utilized in various applications, including:
Warehouse Automation: AMRs enhance inventory management and order fulfillment processes. This industry is expected to lead with more than 75% share by 2030.Manufacturing: Robots facilitate material handling and assembly line operations. Traditionally, it has been dominated by AGVs but are getting replaced by AMRs due to more flexibility and scalability features.Healthcare: AMRs assist in transporting medical supplies, improving patient care and operational efficiency. It is a niche market but high growing area to focus further.Purchase the full report on the Autonomous Mobile Robots Market – Growth, Trends, and Forecast
Top Factors & Challenges in the Autonomous Mobile Robots Market
Top Factors Driving Growth
Increased Demand for Automation: Businesses across industries are increasingly seeking automation to enhance efficiency and reduce operational costs.Technological Advancements: Innovations in AI, machine learning, and sensor technologies improve the capabilities and reliability of AMRs, making them more attractive to businesses.Labor Shortages: Ongoing labour shortages, especially in sectors like logistics and manufacturing, are pushing companies to adopt AMRs to maintain productivity.Growth of E-Commerce: The surge in online shopping requires efficient warehouse and logistics solutions, driving the adoption of AMRs for inventory management and order fulfillment.Improved Safety Standards: AMRs can reduce workplace accidents by taking over hazardous tasks, leading to safer working environments.Customization and Scalability: Many AMR solutions offer customizable features that allow businesses to scale operations according to their specific needs.Top Challenges
High Initial Costs: The upfront investment for AMRs can be substantial, which may deter smaller businesses from adoption.Integration with Existing Systems: Integrating AMRs into current operational workflows and legacy systems can be complex and resource-intensive.Regulatory Compliance: Navigating regulatory requirements and safety standards can pose challenges, especially in highly regulated industries.Limited Awareness and Understanding: Some businesses may lack knowledge about AMR technology and its potential benefits, hindering adoption.Technical Limitations: While technology is advancing, AMRs may still struggle with navigating complex environments or handling unexpected obstacles.Cybersecurity Concerns: As AMRs become more connected, they may be vulnerable to cybersecurity threats, requiring robust security measures.Know more about Autonomous Mobile Robots Market – Top Players, Cost Analysis, Competition, and Customer Expectation
What will you get in this report?
500 Pages and 160+ Exhibits Market ReportRevenue and Shipment data segmented:By form factor (Deck-load, Tugger/Pull, Forklift)By Navigation (Tape/Wire/Magnet, Reflector, QR Codes, LiDAR, Camera, Sensor, Fusion)By Function (Goods to person (G2P), Person to Goods (P2G), Conveying, Piece picking, Towing, Pallet Handling)By Application (Manufacturing, Logistics and Warehousing, Shipping, Delivery, Cleaning, Security, Hospital, Retail)Detailed excel file with 150+ market tables (Revenue and Shipment) including forecast till 2030A bottom-up analysis of Autonomous Mobile Robots Market for 19 countries (United States, Canada, Germany, UK, France, Italy, Spain, Nordics, China, Japan, South Korea, Australia, India, Taiwan, Thailand, Malaysia, Singapore, Indonesia, Phillippines) in 5 regionsIn-depth analysis of 700 companies in the ecosystem with more than 160 company profiles.Focus Group Discussion with 100+ key industry stakeholders across the value chain to collect the first-hand information to validate our analysis. Stakeholders include components and technology providers, system integrators, robot manufacturers (OEM/ODM), robotic software & service providers, and end-user industry verticals. Apart this, study also focuses on different components and integral parts of Autonomous Mobile Robots like Motion Control, Batteries & Chargers, Cameras / Vision Sensor, LiDAR, Sensor Fusion, QR Code and Wireless Communication.2 Analyst Sessions to brainstorm furtherInvestment details excel file with 175+ M&A and ~1000 funding dealsLogisticsIQ™ Exclusive Market Map (700+ Players across more than 15 categories)About LogisticsIQ
LogisticsIQ is a dedicated market research and advisory firm in Logistics & Supply Chain sector, empowering decision makers from top fortune 1000 companies, financial and research institutions, private equity and high potential start-ups with market insights to make better decisions. We enable this by analysing the right mix of the best data, the best research methodologies, and the best industry panel to deliver value to our clients.
Media Contact
Name: Sunny M.Email: [email protected]: +91-952-918-4938
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SHANGHAI, Sept. 20, 2024 /PRNewswire/ — At HUAWEI CONNECT 2024, Executive Director of the Board of Huawei and CEO of Huawei Cloud Zhang Ping’an delivered a keynote speech “Thrive with the Cloud: Reshaping Industries with AI”. Zhang states that enterprises must seize opportunities in the intelligent era and use AI to build competitive advantages. The key is to adopt an AI-native mindset now.
First, enterprises should actively embrace AI, open up industry scenarios, and develop enterprise AI platforms. This will enable AI to serve their core business. Today, Huawei Cloud Pangu Models have been applied in more than 30 industries and 400 scenarios.
Second, AI computing power is critical. Enterprises need to build AI-native cloud infrastructure that matches their requirements. Zhang officially released CloudMatrix to interconnect and pool all resources including CPUs, NPUs, DPUs and memory. It marks an evolution from monolithic to matrix compute. CloudMatrix comprises an AI-native cloud infrastructure in which everything can be pooled, peer-to-peer, and composed, providing enterprises with abundant AI computing power.
Third, data quality determines the effectiveness of AI models. We need to build knowledge-centric data foundations to enable data to serve AI better. Huawei Cloud has fully upgraded DataArts to provide customers with AI-oriented and knowledge-centric data foundations. The updated features include AI+data convergence engines, data development and governance, knowledge services, and AI+data application enablement services.
Fourth, build suitable AI models based on business applications. We must abandon the misconception that larger models are better. It is not feasible to address all needs with just one foundation model. Pangu Models 5.0 are available in different sizes, with parameters in the billions, tens of billions, hundreds of billions, and trillions. The complete series of Pangu models meet practically all business application needs.
In addition, Huawei Cloud’s Pangu 5.0 models enhance spatiotemporal controllable generation (STCG) in the field of multimodal generation. For autonomous driving，the Pangu model can generate driving scenarios that accurately mirror the physical world. It can generate videos that reflect normal driving scenarios, random road conditions and accidental and aggressive driving, allowing automotive enterprises to train autonomous driving more efficiently.
Huawei Cloud officially released the Mainframe-to-Cloud Solution, designed to help customers develop new core systems on the cloud with high availability, easy O&M, and better agility, helping customers achieve 99.999% financial-grade high availability. Currently, most banks in China have chosen Huawei to build their new core systems on the cloud.
Tao Jingwen, Huawei’s Director of the Board and President of the Quality, Business Process & IT Mgmt Dept, recounted Huawei’s digital transformation journey. Huawei has developed a methodology, which can be broken down into three layers, five phases, and eight steps. The three layers are redefining intelligent business, AI model development and delivery, and ongoing optimization of intelligent applications. The five phases are identifying suitable scenarios, reshaping processes, transforming organizations, optimizing corporate data, and adopting AI applications.
Bruno Zhang, CTO of Huawei Cloud, presented insights on how Huawei Cloud is leveraging AI to reshape data centers, infrastructure, and cloud services. He also addressed the construction of an AI-native cloud designed to accelerate intelligence in industries. The “1+N” Pangu assistant system, unveiled by Mr. Zhang, signifies a new era in cloud service interaction. The system includes Pangu Doer, and the myriad use cases in product R&D, data analytics, security, and office collaboration, where Pangu models are trained using the scenario-specific data, know-how, and practices to enhance cloud services and boost efficiency with tailored AI.
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