KAUST ·
KAUST PhD student Zahra Al-Saffar won first prize for her poster presentation at the 52nd European Marine Biology Symposium (EMBS) in Piran, Slovenia in September 2017. Her research was presented in poster format. The symposium focuses on marine biology research. Why it matters: This award recognizes promising research by a KAUST student in the field of marine biology.
KAUST ·
KAUST Ph.D. student Mohamed Bahloul received a best paper award at the IEEE Engineering in Medicine and Biology Society (EMBC ‘18) for the Africa and Middle East region. Bahloul's paper presented a three-element fractional-order viscoelastic Windkessel model developed in the EMAN group at KAUST. The model incorporates a fractional-order capacitor, potentially enabling earlier prediction of cardiovascular diseases. Why it matters: The award recognizes impactful research in biomedical engineering at KAUST and highlights the potential for advanced modeling techniques to improve healthcare in the region.
MBZUAI ·
Daisuke Kihara from Purdue University presented a seminar at MBZUAI on using deep learning for biomolecular structure modeling. His lab is developing 3D structure modeling methods, especially for cryo-electron microscopy (cryo-EM) data. They are also working on RNA structure prediction and peptide docking using deep neural networks inspired by AlphaFold2. Why it matters: Applying advanced deep learning techniques to biomolecular structure prediction can accelerate drug discovery and our understanding of molecular functions.
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.
MBZUAI ·
MBZUAI President Eric Xing has been named a 2023 Fellow of the Institute of Mathematical Statistics (IMS). He was honored for contributions to statistics, machine learning research, AI entrepreneurship, and AI education. The IMS will formally recognize the 2023 fellows at the Joint Statistical Meetings in Toronto in August. Why it matters: This recognition highlights the growing prominence of MBZUAI and its leadership in the international AI and statistics community.
arXiv ·
Researchers propose a universal anatomical embedding (UAE) framework for medical image analysis to learn appearance, semantic, and cross-modality anatomical embeddings. UAE incorporates semantic embedding learning with prototypical contrastive loss, a fixed-point-based matching strategy, and an iterative approach for cross-modality embedding learning. The framework was evaluated on landmark detection, lesion tracking and CT-MRI registration tasks, outperforming existing state-of-the-art methods.