➀ Researchers at the Technical University of Ulm (THU) developed CleanScreen, a UV-LED system integrated into touchscreens to automatically disinfect surfaces after each use, achieving 99.9% germ reduction in seconds;

➀ The system, funded by the German Federal Ministry for Economic Affairs and Energy, uses UVC and Far-UVC light (200-450 nm) and targets high-traffic public areas like hospitals and ATMs to enhance hygiene standards;

➂ The project received the UVLaunch Award from IUVA and the Senetics Innovation Award (2nd place) in healthcare, validating its potential for real-world applications.

➀ Fraunhofer IMM and Ki'tech collaborate to develop a disposable microfluidic patch for at-home potassium monitoring via interstitial fluid analysis;

➁ The solution targets dialysis patients to prevent hyperkalemia risks, offering real-time potassium level tracking via a smartphone app and wireless data transmission;

➂ Clinical trials are planned to validate the device, aiming to reduce hospital visits and empower patients with autonomous health management.

➀ Autonomous AI agents in healthcare are advancing beyond traditional applications, but existing regulatory frameworks in the US and Europe are insufficient for their complexity and adaptability;

➁ Researchers propose adaptive regulatory pathways, including enforcement discretion policies, voluntary alternative approval pathways, and long-term solutions akin to medical professional qualification, to ensure safety and innovation;

➂ Collaboration among regulators, healthcare providers, and developers is critical to achieving safe and effective implementation of autonomous AI agents in clinical settings.

➀ Imec has developed an ingestible sensor (2.1cm long, 0.75cm diameter) to measure redox balance, pH, and temperature in the gastrointestinal tract, addressing challenges in traditional diagnostic methods like endoscopy;

➁ The sensor, demonstrated live at ITF World, offers real-time monitoring without invasive procedures and has been tested in healthy volunteers with Wageningen University & Research;

➂ Future trials with Radboud University Medical Center will focus on patients with cancer or chronic inflammation, aiming to advance gastrointestinal disease diagnosis and management.

➀ The Fraunhofer IDMT in Oldenburg leads the research consortium 'Sleep-Neuro-Path' to study neurophysiological sleep characteristics in ME/CFS patients using mobile EEG systems;

➁ The project aims to identify sleep-related biomarkers linked to cognitive impairments and fatigue, leveraging at-home sleep monitoring and integrating data with genetic and vascular studies;

➂ Funded by the German Federal Ministry of Education and Research (BMBF), the initiative will present findings at a public symposium on May 13, 2025, to advance personalized therapies.

➀ A new diagnostic method, 3D-KM-KMRT, is being used to detect SCAI in patients after Fallot's correction without invasive catheter procedures.

➁ Dr. Sophia Klehs and her team are conducting a study to evaluate the frequency and formation of SCAI in around 500 patients.

➂ The research project has been awarded the Gerd Killian Project Funding of the German Heart Foundation with around 60,000 euros.

➀ SCIVAX Corporation and TSLC Corporation have jointly developed the world’s smallest PPG (PhotoPlethysmoGraphy) sensor head, measuring just 1 square millimeter in mounting area, which is 1/10th the size of traditional sensors.

➁ The compact design enables the sensor to fit into tight spaces, making it ideal for use in smartwatches and health devices with limited space.

➂ The new sensor head offers a lower production cost due to its single resin package design, including both the light source and the optical sensor, which can be used in arrays for multi-sensor applications in beauty care, home health, and nursing.

➀ Researchers are developing soft, flexible robots that combine soft materials with magnetically controlled movement and integrated electronics, allowing them to move through tight spaces like earthquake debris or the human body.

➁ These robots contain tiny magnetic components within their soft bodies, enabling them to respond to external magnetic fields, bend, twist, or crawl without requiring batteries or wires.

➂ The next steps include improving the robots for specific applications such as creating a 'robot pill' to navigate the digestive system, detecting diseases, and delivering medicine precisely, offering a less invasive alternative to surgery.

➀ This article explores the implementation of an IoT-based health monitoring system using the statistical programming language R. The system aims to process and analyze real-time health data from various IoT devices, with a focus on predicting heart attack risks.

➁ The proposed system integrates wearable sensors, mobile applications, and cloud-based infrastructure to connect individuals with healthcare providers. R's analytical capabilities, including statistical functions, visualization tools, and machine learning models like GLMs, random forests, and decision trees, are utilized to generate insights and predictive models.

➂ The system emphasizes data security and privacy, incorporating encryption and authentication mechanisms. It also includes a user-friendly mobile app for real-time health monitoring and personalized feedback.

➀ Researchers at the University of Turku have made a breakthrough in nanotechnology by refining single-wall carbon nanotubes (SWCNTs) for highly accurate sensor applications.

➁ The study focuses on separating nanotubes based on chirality, allowing precise control over their properties for optimized sensor performance.

➂ This advancement could revolutionize medical diagnostics by enabling the detection of biological markers at extremely low concentrations, with potential applications in hormone level monitoring and disease detection.

➀ Texas Instruments has released a wearable biosensing Holter reference design for continuous vital sign monitoring. It measures ECG, heart rate, respiration, pace pulse, temperature, and motion.

➁ The design includes an AFE159RP4 for low-power, high-resolution ECG acquisition and a TMP119 for body temperature monitoring. Data is transmitted via Bluetooth Low Energy 5.3.

➂ The reference design supports multiple battery options and offers up to six days of operation, making it suitable for medical sensor patches and wearable fitness devices.

➀ Axelera AI, founded in 2021, aims to provide scalable edge AI hardware and software solutions.

➁ The company has raised USD 120 million and has a world-class team of over 190 employees.

➂ Axelera AI's Metis platform offers high performance with low power consumption, targeting applications like computer vision, automotive, and healthcare.

➀ Honeywell introduces Digital Holographic Microscopy, a new technology that utilizes AI to count and classify tiny particles or cells.

➁ This technology can significantly reduce the time required for diagnosis and streamline operations in various industries, including healthcare.

➂ In healthcare, it can help diagnose infections such as abdominal lining infections in patients undergoing at-home peritoneal dialysis more quickly, leading to faster and more effective treatment.