Despite significant advancements in biosensing technologies, the early and accurate diagnosis of cancer remains challenging. In a recent study, researchers from Japan have developed a novel microfluidic device containing arrays of microcones to detect cancer cells in the blood. Their device leverages cancer-specific antibodies as coatings to accurately detect cancer cells. Furthermore, the microchannel device maintained a high capture efficiency of more than 90%, even at high flow rates.

Using energy piles for geothermal heat exchange in buildings offers a sustainable alternative to traditional temperature regulators. However, designing these systems is often complex. Now, researchers from Shibaura Institute of Technology, Japan, have developed a simplified modeling framework to improve the design of energy pile systems. Using a combination of finite element modeling and field testing, they quantified the thermal interference between piles and soft clay soil—offering insights for quicker and enhanced geothermal performance.

A recent study by Associate Professor Takehisa Hirayama and Professor Osamu Kano from the Department of Neurology at Toho University School of Medicine has revealed a critical gap in the use of accessibility features among people living with Amyotrophic Lateral Sclerosis (ALS) and their caregivers. Though over 90% of ALS patients surveyed reported daily use of smartphones, tablets, or computers, many are unaware of the accessibility tools embedded in these devices—tools that could greatly enhance their quality of life as the disease progresses.

Smartphones must stay connected to mobile networks at all times to function properly. The core component that enables this constant connectivity is the communication modem (Baseband) inside the device. KAIST researchers, using their self-developed testing framework called 'LLFuzz (Lower Layer Fuzz),' have discovered security vulnerabilities in the lower layers of smartphone communication modems and demonstrated the necessity of standardizing 'mobile communication modem security testing.'

A personalised brain stimulation system powered by artificial intelligence (AI) that can safely enhance concentration from home has been developed by researchers from the University of Surrey, the University of Oxford and Cognitive Neurotechnology. Designed to adapt to individual characteristics, the system could help people improve focus during study, work, or other mentally demanding tasks.