KAUST ·
A smart bandage developed at KAUST aims to accelerate the healing of chronic wounds. The bandage contains sensors and drug-delivery components for real-time monitoring and treatment. Why it matters: This technology could improve patient outcomes and reduce healthcare costs associated with chronic wound management in Saudi Arabia and beyond.
KAUST ·
KAUST and Saudi healthtech company amplifAI health have signed an MoU to develop a new disease detection system. The system will combine amplifAI's AI technology with KAUST's HyplexTM hyperspectral imaging, initially for diabetic foot complications. Clinical trials are planned, with aims to reduce amputations and save Saudi Arabia over 2 billion Riyals annually. Why it matters: This partnership showcases the potential of combining Saudi AI and advanced imaging technologies to address pressing healthcare challenges in the region, particularly diabetes.
MBZUAI ·
Pierre Baldi from UC Irvine presented applications of AI to biomedicine, covering molecular-level analysis of circadian rhythms, real-time polyp detection in colonoscopy videos, and prediction of post-operative adverse outcomes. He discussed integrating AI in future AI-driven hospitals. The presentation was likely part of a panel discussion hosted by MBZUAI in collaboration with the Manara Center for Coexistence and Dialogue. Why it matters: This highlights the growing interest in AI applications within the healthcare sector in the UAE, particularly through institutions like MBZUAI.
KAUST ·
KAUST Ph.D. candidate Ahmed Alfadhel won the IEEE best research paper award for his work on artificial skin. The artificial skin design uses a flexible magnetic nano-composite cilia surface with a magnetic field sensing element. The device exhibits unprecedented flexibility due to the embedding of magnetic cilia and the sensing element in a polymeric surface. Why it matters: This research enables the development of cheaper, more versatile tactile sensors for health monitoring, robotics, and prosthetics, potentially advancing personalized healthcare and human-machine interfaces in the region.
KAUST ·
KAUST Discovery Professor Jesper Tegnér collaborated with UK researchers to develop algorithms explaining decision-making in insects and rats. Assoc. Prof. Robert Hoehndorf's lab introduced a tool for identifying genetic variants linked to rare diseases based on patient symptoms. KAUST scientists also studied monkeypox infection of human skin using stem cells and marine microbiome adaptation to thermal changes. Why it matters: These diverse research projects highlight KAUST's contributions to computational biology, virology, and marine science, advancing knowledge with implications for healthcare and environmental challenges.
TII ·
The Technology Innovation Institute (TII) in Abu Dhabi has launched a 2-micrometer high-power fiber laser for medical and industrial applications. Developed by TII's Directed Energy Research Center, the Thulium-based laser is efficient, compact, and scalable, enabling precise interaction with water-rich materials. TII has partnered with LIMA Photonics, a German MedTech startup, to integrate the laser into clinical solutions, including urinary stone treatment and prostate surgery. Why it matters: This laser technology and partnership showcase the UAE's commitment to translating advanced research into healthcare solutions, positioning Abu Dhabi as a hub for medical technology innovation.
KAUST ·
A smart bandage developed by KAUST's Associate Professor Atif Shamim and Ph.D. student Mohammed Farooqui won the IEEE MECAP’16 Best Paper Award. The smart bandage is a medical device that wirelessly communicates wound parameters and abnormalities to healthcare providers. It monitors the wound's recovery process. Why it matters: This recognition highlights the innovative research and development in healthcare technology emerging from Saudi Arabia.
arXiv ·
A new benchmark, LongShOTBench, is introduced for evaluating multimodal reasoning and tool use in long videos, featuring open-ended questions and diagnostic rubrics. The benchmark addresses the limitations of existing datasets by combining temporal length and multimodal richness, using human-validated samples. LongShOTAgent, an agentic system, is also presented for analyzing long videos, with both the benchmark and agent demonstrating the challenges faced by state-of-the-art MLLMs.