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To provide higher efficiency and power density for telecom, industrial, and computing applications, Vishay Intertechnology introduced a new 150 V
Targeting industrial and energy applications with motor drives for air conditioning, home appliances and factory automation, as well as power control in charging stations, energy storage systems, and power supply units STMicroelectronics’ STGAP3S family of gate drivers for silicon-carbide (SiC) and IGBT power switches combines ST’s latest robust galvanic isolation technology with optimized desaturation protection …
EPC Space’s rad-hard GaN products enable long-lasting performance in harsh space conditions, driving the future of space exploration.The post GaN Technology Takes Center Stage at Electronica 2024 with EPC Space appeared first on Power Electronics News.
The Silicon Carbide Fibers Market intelligence report just published by USD Analytics Market covers a micro level study of important market niches product offers and sales channels To determine market size potential growth trends and competitive environment the Silicon Carbide ...
The SiC metal-oxide-semiconductor field effect transistor (MOSFET), as a third-generation wide-bandgap semiconductor, possesses advantages such as low on-resistance, high power density, fast switching speed, and low switching losses, making it a promising candidate in aerospace equipment. However, electrons in space can cause total ionizing dose (TID) effects, leading to the performance degradation of electronic components, especially in deep space environments with high-energy and high-flux electron irradiation. In this study, electron irradiation induced TID effects were experimentally investigated in SiC MOSFETs with different structures of double trench (DT) and asymmetric trench (AT). The DT-MOSFET was found to be more sensitive to TID effects. Furthermore, the technology computer aided design (TCAD) simulation was performed to reveal the mechanism of the trench structure dependent TID effects. It was revealed that compared to DT-MOSFET, the semi-enclosed P+ well structure in the AT-MOSFET provides protection to the bottom of the gate oxide layer, reducing the electric field intensity in that region and suppressing the impact of TID effects.
Industrial technology manufacturing company Littelfuse has expanded its range of Ultra Junction X4-Class 200 V Power MOSFETs with low on-state resistance for battery energy storage and power supply applications. The IXTN400N20X4 and IXTN500N20X4 have around two times higher current ratings and a 63% RDS(on) reduction than existing X4-Class MOSFETs, according to the company, making them... Read more »
As part of our video series Women @ MCL, we would like to introduce Larissa Egger today. She works as Senior Scientist Sensor Solutions at the Department of Microelectronics. Link to video ***Women @ MCL: Larissa EggerAls Teil unserer Videoserie Women @ MCL möchten wir heute Larissa Egger vorstellen. Sie arbeitet als Senior Scientist Sensor Solutions im Department Microelectronics.
The increasing interest in battery EVs has accelerated the deployment of WBG semiconductors for improving efficency and attaining longer drive ranges.The post WBG Multilevel Inverters Cater to 800-V Battery EVs appeared first on Power Electronics News.
The leaders of the United States and China both participated in the recently held APEC Summit in Peru, with artificial intelligence dominating headlines again.
SAN JOSE, Calif., Nov. 4, 2024 – Power Integrations (NASDAQ: POWI), the leader in high-voltage integrated circuits for energy-efficient power conversion, today introduced a new member of its InnoMux-2 family of single-stage, independently regulated multi-output offline power supply ICs. The new device features the industry’s first 1700 V gallium nitride switch, fabricated using the company’s proprietary […]
Der Generator für Verlustleistungsmodelle umfasst jetzt auch passive Komponenten, um Designs noch genauer zu modellieren.
SK Group's silicon wafer manufacturer SK Siltron has confirmed that it will receive a loan of US$544 million from the US Department of Energy (DOE) to invest in its silicon carbide (SiC) wafer factory at its US subsidiary, SK Siltron CSS, which is expected to commence production in 2025.
With the increasing adoption of EVs and a growing focus on environmental sustainability, electric motors are expected to be used more extensively.The post Electric Motors: The Key to Energy Efficiency and Sustainability appeared first on Power Electronics News.
Diese 3 Fragen gehören auf die Liste jedes CISO. Im Juli erlebte die Wall Street ihren schlimmsten Tag seit 2022, als der technologieorientierte Nas
As the EU harmonizes cybersecurity standards, post-quantum security must be a top priority
The sic wafer cleaning equipment market represents a dynamic and continually evolving landscape shaped by changing consumer demands and technological advancements In this comprehensive report we provide an in depth exploration of the market designed for a wide range of ...
As the Internet of Things (IoT) continues to grow, so do the security risks associated with Low-Power Wide-Area (LPWA) networks. These networks, which enable long-range communication with minimal energy requirements, are vulnerable to physical tampering and cyberattacks. To mitigate these risks, hardware security modules (HSMs) play a critical role in securing LPWA IoT networks by securely generating, storing, and managing cryptographic keys. In ruggedized LPWA IoT environments, HSMs must be placed in secure locations to resist physical tampering attempts. However, with many devices processing and transmitting sensitive information, security systems are essential to protect the integrity and privacy of IoT data. The use of HSM tamper-proof technology is also crucial, as it ensures that cryptographic keys and operations remain secure even under physical attack. Furthermore, quantum cryptography offers a robust solution for network and data security in LPWA IoT environments. By using quantum key distribution (QKD) technology, organizations can securely distribute cryptographic keys between devices, ensuring that communication remains secure even in the face of cyber threats. This is particularly important in industries such as finance, healthcare, and government, where sensitive information must be protected at all costs. Implementing operational strategies that take into account device placement, power management, and communication protocols is also essential to ensuring the security of HSMs in ruggedized LPWA IoT settings. By leveraging HSMs with tamper-proof technology and quantum cryptography, organizations can ensure that their sensitive data remains secure even in the face of increasing cyber threats.
(Bild: Dall-E / KI-generiert) Entdecken Sie die kritische Sicherheitslücke CVE-2024-38094 in SharePoint, die Remote-Code-Ausführung ermöglicht und wie Microsoft mit Updates reagiert.
A recent PowerUP podcast featuring experts from Nexperia focused on the company’s SiC and GaN product portfolios and their application space.
Exploring the power of AI-driven insights, data analytics, and IoT to redefine efficiency, sustainability, and innovation in UAE real estate. DUBAI, DUBAI, UNITED ARAB EMIRATES, November 14, 2024 /EINPresswire.com/ — As UAE’s real estate market matures and increases in complexity, innovative tools such as generative AI, big data, and IoT are becoming instrumental in guaranteeing […]
NXP Semiconductors has announced its new i.MX 94 family of applications processors, designed to provide safe and secure connectivity for industrial and automotive edge applications. The i.MX 94 family combines real-time processing with support for industrial networking protocols, including Ethernet time-sensitive networking (TSN) switch, making it the first applications processor family to integrate such a feature. According to Charles Dachs, Senior Vice President and General Manager of Industrial and IoT at NXP, "The i.MX 94 family delivers the high-performance edge processing needed for today's industrial automation, as well as automotive telematics applications, with the advanced networking, security, safety, and AI capabilities needed to enable tomorrow's innovations." The new processor family also integrates post-quantum cryptography (PQC) to protect against quantum compute attacks, making it NXP's first applications processor family to do so. Additionally, the i.MX 94 family features an integrated eIQ Neutron Neural Processing Unit (NPU) for AI and machine learning capabilities.
(IN BRIEF) The European Investment Fund (EIF) has committed €90 million to three venture capital funds focused on accelerating the growth of tech start-up
Advanced Technology Vehicles Manufacturing Loan Program targets SiC supply for EVs
Toshiba's TB9083FTG IC, meeting ISO 26262 standards, is integrated into Mikroe's Brushless 30 Click for advanced automotive applications
GaN-on-SiC-based MMICs with limited production capability established at GAETEC
As we transition to a more sustainable future, V2G technology is emerging as a major innovation in EVs.The post EVs and the Future of Energy: Innovation Behind V2G appeared first on Power Electronics News.
The global Silicon Carbide SiC MOSFETs market is experiencing rapid growth driven by increasing demand for high performance power electronics across multiple industries Silicon carbide MOSFETs known for their efficiency and durability are fast becoming essential in applications requiring robust ...
The global Silicon Capacitors Market is experiencing significant growth fueled by rapid advancements in technology and the increasing demand across various high tech applications As of 2022 the market was valued at US 1 6 billion and is projected to ...
Standardized power semiconductor chip can extend driving range and lower power costs for xEVs
Future of Space Power Electronics Market is projected to High USD 1088.76 million Growth Predicted by 2032
Toshiba has developed new 1200V silicon carbide (SiC) MOSFETs with low on-resistance (RDS(ON)) and high levels of reliability. The devices are particularly suited to applications within automotive traction inverters. They are now available and shipping as early test samples in bare die format – allowing customers to customise them to meet the needs of their
The shift towards compound semiconductors for high-performance power systems requires new testing approaches.
(Bild: frei lizenziert) Die Umsetzung von NIS2 und CRA stellt die deutsche Elektronikindustrie vor Herausforderungen. Erfahren Sie mehr über das Ausmaß und die Auswirkungen dieser Vorschriften.
(Bild: Dall-E / KI-generiert) Eine Sicherheitslücke im AWS Cloud Development Kit ermöglicht die Übernahme von AWS-Accounts. Erfahren Sie mehr über die Risiken und wie Sie sich schützen können.
Publication date: Available online 9 November 2024Source: Expert Systems with ApplicationsAuthor(s): Navid Aftabi, Nima Moradi, Fatemeh Mahroo, Farhad Kianfar
Anzeige / WerbungCybersecurity-Markt für KI-Quantenkryptografie kann sich laut einer Studie in den kommenden Jahren verzehnfachen!ADVERTORIAL |WERBUNG (Auftraggeber: Scope Technologies) - Interessenkonflikte
AI is evolving at a rapid pace, and the uptake of Generative AI (GenAI) is revolutionising the way humans interact and leverage this technology. GenAI is
Upwind seeks to streamline the overwhelming volume of alerts generated by threat detection tools, aiming to reduce them by 90%.
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Corgea, a CyberTech specialising in AI-driven vulnerability detection and remediation, has closed a $2.6m seed funding round.
(Bild: paripat - stock.adobe.com) Unternehmen investieren in KI und Cybersecurity, um IT-Prozesse zu optimieren und Cyberbedrohungen abzuwehren. Erfahren Sie, wie diese Technologien zum Geschäftserfolg beitragen.
The acquisition price has not been disclosed, but it is estimated at $300 million, which represents a handsome return for investors in the Tel Aviv-based startup. After acquisitions by Palo Alto Ne…
Machine learning (ML) is changing cybersecurity by enabling progressed discovery, anticipation and reaction instruments. This paper gives a comprehensive survey of ML's part in cybersecurity, looking at both hypothetical systems and down to earth usage. It diagrams the rising dangers focusing on ML models, such as ill-disposed assaults, information harming and show reversal assaults and examines state-of-the-art defense procedures, counting ill-disposed preparing, vigorous models and differential protection. Furthermore, the paper investigates different ML applications in cybersecurity from interruption location to malware classification, highlighting their affect on improving security measures. An peculiarity induction calculation is proposed for the early discovery of cyber-intrusions at the substations. Cybersecurity has ended up a imperative investigate range. The paper concludes with a discourse on the key inquire about bearings and best hones for making secure and versatile ML frameworks in a data-driven world. This paper dives into how Machine Learning (ML) revolutionizes cybersecurity, enabling progressed discovery, avoidance, and reaction components. It offers a exhaustive investigation of ML's urgent part in cybersecurity, enveloping hypothetical systems and viable applications. It addresses rising dangers like ill-disposed assaults and information harming, nearby cutting-edge defense techniques such as antagonistic preparing and strong models.
This chapter highlights the transformation of secure communications throughthe incorporation of quantum mechanics. Over the past four decades, thisgroundbreaking theory has quietly revolutionized private communication. Thechapter provides a concise historical overview of this field's inception,tracking the development of its pioneering protocol, BB84. It delves deeplyinto the protocol's evolution, spotlighting its milestones and challenges.Furthermore, it offers a panoramic view of the entire quantum key distributionlandscape, encompassing continuous variable protocols designed to harnessexisting telecom technologies and device-independent quantum key distributionprotocols aimed at achieving secure key exchange with minimal reliance on theexperimental setup.
Monatelange Spionage enthüllt Schwächen in der Infrastruktur. Angreifer sollen sensible Daten hochrangiger Politiker und Beamter erbeutet haben
Infineon has added post-quantum cryptography support to 28nm 500MHz automotive processors. Called Aurix TC4Dx, they are rated for ISO/SAE21434 cyber
Seeed Studio erweitert seine XIAO-Reihe um zwei Matter-fähige EFR32MG24-Boards. Diese Boards bieten kleinen Stromverbrauch und einen Batterieladeschaltkreis.
Zudem haben die Strafverfolger mehrere Server beschlagnahmt und insgesamt 41 Personen verhaftet. Gegen weitere 65 Tatverdächtige wird noch ermittelt. (Cybercrime, Virus)
(Bild: Dall-E / KI-generiert) Entdecken Sie die Cybersecurity-Herausforderungen von 2025 und lernen Sie, wie Ihr Unternehmen sich gegen Ransomware, Phishing und KI-Angriffe schützen kann.
Mit einem neuen Update für seine Galaxy-Smartphones schließt Samsung gleich dutzende Sicherheitslücken. Hier erfahren Sie, was sonst noch im Update steckt.
Massive IoT Market The industrial vertical segment is expected to experience significant growth in the coming years Rising popularity of Narrowband-IoT (NB-IoT) & LTE-M technologies, rapid advancement of 5G technology, and the growing demand for industrial automation drive the growth of the massive IoT market” — Allied Market Research WILMINGTON, NEW CASTLE, DE, UNITED STATES, […]
There is an increasing industry demand for reliable Anomaly Detection (AD) solutions to detect erroneous measurements or alarm events in marine sensor…
Petroleum-derived polyimides (PIs) are indispensable in microelectronics. However, these polymers face significant challenges including limited chemic…
Edge computing on a smartphone has been used to analyze data collected by a multimodal flexible wearable sensor patch and detect arrhythmia, coughs and falls.
IoT startup Wiliot has secured a contract with the Royal Mail to supply 850,000 ambient IoT tags to track wheeled containers through its distribution centres.
Know how edge management in IoT enhances efficiency, reduces latency, and optimizes device operations, revolutionizing data infrastructure.
Terraformation is using technology, including Dryad Networks’ wireless mesh sensors, to bring intelligence to its tree plantations in Hawaii.
The Kantonsspital Baden in Switzerland is working with Siemens to deploy 2,000 IoT tags and 7,000 IoT sensors to improve patient care and hospital operations.
This paper provides an overview of several secure boot architectures with a focus on key rotation. It expands on a practitioner note that the authors submitted to the 2023 IEEE Secure Development Conference. Key rotation is important due to the frequency of lost signing keys and the difficulty of managing secret keys for the long lifetimes of Industrial Internet of Things (IIOT) devices. Key rotation is not simple for IIOT due to limited resources during a secure boot process and the constraints of the firmware utilities that come from the chip vendors. This paper reviews and compares five common architectures for a secure boot that are seen across the IIOT community. For each architecture, it provides some key strengths and weaknesses associated with that architecture. The paper then provides a detailed comparison and analysis of the architectures to convince the IIOT community to move towards a strong use of certificates (instead of the traditional use of raw public keys). The intent of this paper is to provide a practitioner’s perspective on these challenges and the tradeoffs in hopes of inviting comments from chip vendors and the broader community.
Many companies are using smart packaging to provide consumers with more information about their products. The goal of our case study is to access the Near Field Communication (NFC) tag knowledge, as well as getting insights into tag positioning in food package design for better visibility in order to develop some guidelines for future tag implementations. A preliminary survey of professionals provided an overview of NFC tag usage, followed by an online survey that assessed knowledge and visibility of tag placements. These findings were further discussed in focus groups and measured using eye-tracking technology. For placement visibility assessments, well-known and fictitious packaging designs of milk were used. The results show that, due to the NFC tag’s low market penetration, consumer recognition is low, with only generations Y and Z being familiar with the NFC tag. Knowledge of the NFC tag does not significantly vary based on education level. When considering the use of NFC tags, it is crucial to define and understand the target market. If the target is younger generations, the potential to increase engagement with the product can be achieved. Additionally, to boost consumer interaction, NFC tags or other smart elements should include an activation prompt, positioned on the central right section of the packaging and distinguished by a distinct color. The influence of the design on tag visibility is essential to ensure its effectiveness.
Neue Autos mit Audis PPE-Plattform bekommen ein Zugangssystem, das mittels Ultra-Breitband-Technik von NXP vor unlauteren Zugriffen schützen soll.
(Bild: Magna) Magna Electronics diskutiert die nächste Generation von ADAS-Systemen, Sensordatenfusion und wie die Cloud das autonome Fahren sicherer machen könnte.
ST develops a highly integrated biosensor that combines a high-accuracy biopotential input with its inertial sensing and AI core.
ACS Applied Materials & InterfacesDOI: 10.1021/acsami.4c12507
FNB’s data shows that 61% of those who earn less than R750 000 per annum still feel like having cash is important to their everyday life and they can’t go without it.
A digital wallet refers to an electronic device, online service, …
STMicroelectronics is aiming at healthcare wearables with an IC that senses bio-potentials and acceleration, and includes an AI processor and a finite
The global ultrasonic sensor market size was USD 6 09 Billion in 2022 and is expected to register a rapid revenue CAGR of 11 1 during the forecast period Increasing adoption of robotics in industrial sectors and use of ultrasonic ...
Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based computing-in-memory architecture, significantly reducing circuit size and power consumption. Their design achieved near-identical accuracy and faster training times compared to traditional BNNs, making it a promising solution for efficient AI implementation in resource-limited devices, such as those used in IoT systems.
Gesture Recognition Market Size WILMINGTON, NEW CASTLE, DE, UNITED STATES, October 28, 2024 /EINPresswire.com/ — According to a new report published by Allied Market Research, titled, “Gesture Recognition Market,” The gesture recognition market was valued at $13.9 billion in 2021, and is estimated to reach $88.2 billion by 2031, growing at a CAGR of 20.6% […]
Security grids consisting of High-Definition (HD) Internet of Things (IoT) cameras are gaining popularity for organizational perimeter surveillance and security monitoring. Transmitting HD video data to cloud infrastructure requires high bandwidth and more storage space than text, audio, and image data. It becomes more challenging for large-scale organizations with massive security grids to minimize cloud network bandwidth and storage costs. This paper presents an application of Machine Vision at the IoT Edge (Mez) technology in association with a novel Grid Sensing (GRS) algorithm to optimize cloud Infrastructure as a Service (IaaS) resource allocation, leading to cost minimization. Experimental results demonstrated a 31.29% reduction in bandwidth and a 22.43% reduction in storage requirements. The Mez technology offers a network latency feedback module with knobs for transforming video frames to adjust to the latency sensitivity. The association of the GRS algorithm introduces its compatibility in the IoT camera-driven security grid by automatically ranking the existing bandwidth requirements by different IoT nodes. As a result, the proposed system minimizes the entire grid’s throughput, contributing to significant cloud resource optimization.
The proliferation of Internet of Things (IoT) devices has introduced significant security challenges, including weak authentication, insufficient data protection, and firmware vulnerabilities. To address these issues, we propose a linguistic secret sharing scheme tailored for IoT applications. This scheme leverages neural networks to embed private data within texts transmitted by IoT devices, using an ambiguous token selection algorithm that maintains the textual integrity of the cover messages. Our approach eliminates the need to share additional information for accurate data extraction while also enhancing security through a secret sharing mechanism. Experimental results demonstrate that the proposed scheme achieves approximately 50% accuracy in detecting steganographic text across two steganalysis networks. Additionally, the generated steganographic text preserves the semantic information of the cover text, evidenced by a BERT score of 0.948. This indicates that the proposed scheme performs well in terms of security.
The Internet of Things (IoT) has radically changed the industrial world, enabling the integration of numerous systems and devices into the industrial ecosystem. There are many areas of the manufacturing industry in which IoT has contributed, including plants’ remote monitoring and control, energy efficiency, more efficient resources management, and cost reduction, paving the way for smart manufacturing in the framework of Industry 4.0. This review article provides an up-to-date overview of IoT systems and machine learning (ML) algorithms applied to smart manufacturing (SM), analyzing four main application fields: security, predictive maintenance, process control, and additive manufacturing. In addition, the paper presents a descriptive and comparative overview of ML algorithms mainly used in smart manufacturing. Furthermore, for each discussed topic, a deep comparative analysis of the recent IoT solutions reported in the scientific literature is introduced, dwelling on the architectural aspects, sensing solutions, implemented data analysis strategies, communication tools, performance, and other characteristic parameters. This comparison highlights the strengths and weaknesses of each discussed solution. Finally, the presented work outlines the features and functionalities of future IoT-based systems for smart industry applications.
In the era of the Internet of Things (IoT), the demand for accurate positioning services has become increasingly critical, as location-based services (LBSs) depend on users’ location data to deliver contextual functionalities. While the Global Positioning System (GPS) is widely regarded as the standard for outdoor localization due to its reliability and comprehensive coverage, its effectiveness in indoor positioning systems (IPSs) is limited by the inherent complexity of indoor environments. This paper examines the various measurement techniques and technological solutions that address the unique challenges posed by indoor environments. We specifically focus on three key aspects: (i) a comparative analysis of the different wireless technologies proposed for IPSs based on various methodologies, (ii) the challenges of IPSs, and (iii) forward-looking strategies for future research. In particular, we provide an in-depth evaluation of current IPSs, assessing them through multidimensional matrices that capture diverse architectural and design considerations, as well as evaluation metrics established in the literature. We further examine the challenges that impede the widespread deployment of IPSs and highlight the potential risk that these systems may not be recognized with a single, universally accepted standard method, unlike GPS for outdoor localization, which serves as the golden standard for positioning. Moreover, we outline several promising approaches that could address the existing challenges of IPSs. These include the application of transfer learning, feature engineering, data fusion, multisensory technologies, hybrid techniques, and ensemble learning methods, all of which hold the potential to significantly enhance the accuracy and reliability of IPSs. By leveraging these advanced methodologies, we aim to improve the overall performance of IPSs, thus paving the way for more robust and dependable LBSs in indoor environments.
Photonic Sensors Market Size Photonic Sensors Market Expected to Reach $94.2 Billion by 2030 Increasing adoption of Biophotonics and laser technology in healthcare and industrial applications is expected to be the major trend in the world” — Allied Market Research WILMINGTON, DE, UNITED STATES, October 25, 2024 /EINPresswire.com/ — Allied Market Research, titled, “Photonic Sensors […]
A hybrid sensing configuration combining fiber Bragg grating (FBG) with a Fabry-Perot interferometer is proposed for highly sensitive detection of pre…
Borophene, a novel two-dimensional (2D) nanomaterials with high surface-to-volume ratio and abundant active sites, show great promise for humidity sen…
Researchers at Tampere University have developed the world's first soft touchpad that can sense the force, area and location of contact without electricity. The device utilizes pneumatic channels, enabling its use in environments such as MRI machines and other conditions that are unsuitable for electronic devices. Soft devices like soft robots and rehabilitation aids could also benefit from this new technology.
Dublin, Oct. 24, 2024 (GLOBE NEWSWIRE) -- The
Was Sie über die Netzwerk- und Informationssicherheitsrichtlinie NIS-2 wissen müssen
Human Activity Recognition (HAR) is the task to automatically analyze and recognize human body gestures or actions. HAR using time-series multi-modal …
The expansion of dairy cattle farms and the increase in herd size have made the control and management of animals more complex, with potentially negative effects on animal welfare, health, productive/reproductive performance and consequently farm income. Precision Livestock Farming (PLF) is based on the use of sensors to monitor individual animals in real time, enabling farmers to manage their herds more efficiently and optimise their performance. The integration of sensors and devices used in PLF with the Internet of Things (IoT) technologies (edge computing, cloud computing, and machine learning) creates a network of connected objects that improve the management of individual animals through data-driven decision-making processes. This paper illustrates the main PLF technologies used in the dairy cattle sector, highlighting how the integration of sensors and devices with IoT addresses the challenges of modern dairy cattle farming, leading to improved farm management.
Lidwave, a developer of 4D lidar-on-chip sensors, has secured $10 million in seed round funding to further develop its optical chip, launch a software
The quest for effective cancer treatments has driven transformative strategies in drug discovery, and biosensors have emerged as indispensable tools, renowned for their precision, sensitivity, and real-time monitoring capabilities. The review begins with a brief overview of cancer drug discovery, underscoring the pivotal role of biosensors in advancing cancer research. Various types of biosensors employed in cancer drug discovery, including fluorescence- and bioluminescence-based biosensors, are then explored. Emphasis is placed on the integration of biosensors in high throughput screening (HTS) and validation for cancer drug compounds, elucidating their pivotal role in accelerating the identification of potential therapeutics. Real-time monitoring of cellular responses through biosensors yields invaluable insights into cancer cell signaling pathways, drug efficacy, and resistance mechanisms. The review illuminates how biosensors contribute to unraveling the dynamic nature of cancer cells, thereby facilitating the development of more targeted and personalized therapies. Challenges linked to biosensor applications in cancer drug discovery are addressed, alongside a discussion of emerging trends and future perspectives. In conclusion, this review offers a comprehensive analysis of biosensor applications in the dynamic field of cancer drug discovery. The integration of biosensor technologies holds the promise of revolutionizing the discipline, presenting novel avenues for the development of targeted and personalized cancer therapies.
Advanced Healthcare Materials, EarlyView.
Researchers used multimodal wearable sensors and machine learning to track real-time fatigue in manufacturing workers, revealing critical insights into individual fatigue patterns and potential ergonomic improvements.
Adds critical operations and technical expertise to support customers and partners, making Taiwan Synaptics’ largest employee base worldwide....
HKU introduces a stretchable wearable biosensor, integrating on-device AI computing for real-time health monitoring, enhancing efficiency, accuracy, and privacy in digital healthcare solutions.
Infineon Technologies AG launches the new automotive-qualified fingerprint sensor ICs CYFP10020A00 and CYFP10020S00. The devices are optimized for
Mouser Electronics, Inc., the authorized global distributor with the newest electronic components and industrial automation products, is now shipping the RRH62000 all-in-one integrated air sensor module from Renesas Electronics. The RRH62000 is an integrated air sensor module for air purifiers, smoke detectors, HVAC systems, weather stations, smart home systems, and indoor air monitoring applications. The Renesas ... Read moreThe post New at Mouser: Renesas RRH62000 All-In-One Air Sensor Module for Indoor Monitoring Applications appeared first on Electronics Sourcing.
New ST87M01 module integrating embedded SIM with certified Vodafone profile and switchable NB-IoT/wM-Bus for easy, secure, and flexible connections
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