Abstract. Conjunctival Melanocytic Intraepithelial Lesions (CMIL) are a significant precursor to conjunctival melanoma, a rare but potentially fatal ocular cancer. The histopathological classification of CMIL is crucial for early diagnosis and treatment planning.
We are excited to announce that Albarqouni Lab is proud to be one of the host institutions for the prestigious DAAD AInet Fellowship, which is awarded twice a year to outstanding international early-career researchers in artificial intelligence. This fellowship offers a unique opportunity to join the Postdoctoral Networking Tour in Artificial Intelligence (Postdoc-NeT-AI), where awardees can engage with leading researchers in Germany, fostering collaborations and creating new research and career opportunities. At Albarqouni Lab, we are at the forefront of AI research in medical imaging, machine learning, and large language models, and have successfully hosted several AInet Fellows in the past. We invite interested applicants to apply and consider joining us to advance cutting-edge AI research in healthcare. More details can be found [here](https://www.daad.de/en/the-daad/postdocnet/details-and-application/).
Abstract. Breast density is a critical factor in breast cancer risk and detection, influencing the effectiveness of mammography. Higher breast density, characterized by a greater proportion of fibroglandular tissue relative to fatty tissue, is associated with a four- to sixfold increase in breast cancer risk.
Abstract. Magnetic Resonance Imaging (MRI) plays a vital role in modern diagnostics, offering detailed, non-invasive insights into human anatomy [1-2]. High-field MRI (HF-MRI) systems, which operate at higher magnetic field strengths, provide superior image resolution and contrast compared to low-field MRI (LF-MRI) systems [3-4].
Our lab at Universitätsklinikum Bonn, The University of Bonn, and Helmholtz AI in cooperation with the Arab-German Young Academy of Sciences and Humanities (AGYA) are delighted to announce the upcoming AGYA Summer School on Affordable Artificial Intelligence (SAAI -سعي) in Bonn, 22-26 July 2024.
Abstract. Fetuses with diaphragmatic hernias face severe health and survival risks. Treatment and outcomes can be improved if this condition is detected early. Ultrasound measurement of the lung-to-head ratio (o/e LHR) is widely used in obstetric ultrasound procedures for the assessment of the observed to expected lung-to-head ratio.
Our lab at Universitätsklinikum Bonn, The University of Bonn, and Helmholtz AI in cooperation with the Arab-German Young Academy of Sciences and Humanities (AGYA) are delighted to announce the upcoming AGYA Summer School on Affordable Artificial Intelligence (SAAI -سعي) in Bonn, 22-26 July 2024.
Abstract. Our project aims to improve the diagnosis of Inherited Retinal Dystrophies (IRDs), a group of rare retinal diseases impacting over 2 million people globally [1]. IRDs can lead to vision problems like night blindness, color blindness, tunnel vision, and eventual blindness, greatly affecting patients’ and their families’ quality of life [4].
Abstract. Giant cell arteritis (GCA) is a systemic autoimmune disease marked by inflammation of blood vessels (“vasculitis”) that can cause impairment and damage to organs [1]. GCA typically affects large and medium size arteries, such as the aorta and the temporal and axillary arteries [2–4].
Welcome/Willkommen (de)/اهلا وسهلا (ar) to the AI Autumn School, one of the measures of our project on affordablE collaborativE learning for global Digital heAlth (EEDA – ايدا), a platform where academia meets innovation, and global collaboration sparks intellectual excellence. Through the partnership of Albarqouni Lab at the University Hospital Bonn, University of Bonn and Helmholtz Munich in Germany and the Faculty of Health Sciences at Beirut Arab University in Lebanon, we offer an enriching educational experience that marries cutting-edge AI advancements with multi-discplines through lectures, hands-on labs, and real-world hackathon led by faculty and skilled tutors.