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Results for "Chronic Pain"

Towards a Deep Learning Pain-Level Detection Deployment at UAE for Patient-Centric-Pain Management and Diagnosis Support: Framework and Performance Evaluation

arXiv ·

This paper introduces a deep learning framework for automated pain-level detection, designed for deployment in the UAE healthcare system. The system aims to assist in patient-centric pain management and diagnosis support, particularly relevant in situations with medical staff shortages. The research assesses the framework's performance using common approaches, indicating its potential for accurate pain level identification.

A smart bandage to heal old wounds

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.

World-leading neurologist Professor Peter Goadsby appointed dean of new Division of Biomedical Sciences

KAUST ·

Professor Peter Goadsby, a neurologist and neuroscientist, has been appointed as Senior Associate to the President and Founding Dean of KAUST's new Division of Biomedical Sciences. He will lead the establishment of the university's fourth academic division, focusing on Biomedical Sciences, and advance the neuroscience department. Goadsby's research identified CGRP as a central driver of migraine, leading to new medicines and earning him the 2021 Brain Prize. Why it matters: This appointment strengthens KAUST's and Saudi Arabia's capacity to translate research into healthcare solutions and supports the Kingdom’s Vision 2030 goals in health innovation.

The AI will see you now

MBZUAI ·

MBZUAI is developing AI algorithms to intelligently process data from wearables and home sensors for remote patient monitoring. The algorithms aim to analyze multiple strands of health data to provide a more comprehensive view of a patient's health, distinguishing between genuine emergencies and benign situations. MBZUAI's provost, Professor Fakhri Karray, believes this approach could handle 20-25% of diagnoses virtually, reducing the burden on healthcare systems. Why it matters: This research could significantly improve healthcare efficiency and accessibility in the UAE and beyond by enabling more effective remote patient monitoring and reducing unnecessary hospital visits.

Building applications inspired by the human eye

KAUST ·

KAUST researchers in the Sensors Lab are developing neuromorphic circuits for vision sensors, drawing inspiration from the human eye. They created flexible photoreceptors using hybrid perovskite materials, with capacitance tunable by light stimulation, mimicking the human retina. The team collaborates with experts in image characterization and brain pattern recognition to connect the 'eye' to the 'brain' for object identification. Why it matters: This biomimetic approach promises advancements in AI, machine learning, and smart city development within the region.

Adaptation requires cross-domain solutions

KAUST ·

Carlos Duarte, a professor of Marine Science at KAUST, discusses climate change adaptation and mitigation. He was interviewed outside the KAUST Museum of Science and Technology. The interview is part of a Frontiers Research Topic on Climate Change Adaptation and Mitigation. Why it matters: This highlights KAUST's focus on addressing climate change through scientific research and its engagement with international platforms like Frontiers.

A Benchmark and Agentic Framework for Omni-Modal Reasoning and Tool Use in Long Videos

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.