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 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.

➀ The Ernst-Abbe-Hochschule Jena (EAH Jena) is establishing an endowed professorship for 'Explainable Artificial Intelligence (XAI)';

➁ The professorship aims to improve the transparency and comprehensibility of decisions made by AI systems through innovative methods and tools;

➂ The professorship will focus on interdisciplinary research and education, involving various fields such as healthcare, social services, and business administration.

➀ Non-invasive CT angiography of the heart (CCTA) enables the early detection of heart vessel changes without the use of a heart catheter, important in the care of patients with coronary heart disease and risk for heart attack and death.

➁ CCTA, as a non-invasive imaging method, provides precise insights into the coronary arteries, allowing for early detection of diseases like coronary heart disease.

➂ The method is valuable for patients with a low to moderate probability of coronary heart disease and is risk-free with low radiation exposure.