KAUST, Tufts, and JIHS researchers created pangenome graphs using Saudi and Japanese samples, named JaSaPaGe. These graphs address the underrepresentation of these populations in existing pangenome databases, which are used as references for understanding individual DNA. The population-specific pangenomes are expected to improve variant calling and diagnostic accuracy for genetic disorders in these groups. Why it matters: This work promotes precision medicine and reduces diagnostic gaps for underrepresented populations by providing more relevant genetic baselines.
KAUST and AlFaisal University have signed an MOU to establish a joint M.D.-Ph.D. program, the first of its kind in Saudi Arabia. AlFaisal medical students selected for the program will enroll in a KAUST Ph.D. program focused on basic research, smart-health tools, and precision medicine. Graduates will become clinician-scientists implementing smart-health methods in the Saudi healthcare system. Why it matters: This program will cultivate a new generation of leaders in smart health and precision medicine, fostering evidence-based practices in Saudi healthcare.
Khaled Alsayegh at the King Abdullah International Medical Research Center is creating a Saudi Stem Cell Donor Registry, with 80,000 potential donors identified. The aim is to identify universal donors, reprogram their cells into induced pluripotent stem (iPS) cells, and create a gene bank for matched tissue transplants. Alsayegh is collaborating with Jesper Tegnér at KAUST to create pacemaker cells using single-cell RNA sequencing. Why it matters: This initiative could revolutionize precision medicine in KSA by providing readily available, matched cells for transplants, reducing the need for patient-specific reprogramming and improving treatment outcomes.
MBZUAI researchers are refining AI techniques to improve cancer diagnosis for colorectal and breast cancer, both common in the Middle East. They are using "few-shot tissue image generation," in which AI generates data for training AI models to recognize lesions, addressing the challenge of limited training data. The developed framework improves the efficiency of radiologists in breast cancer diagnosis, leading to better detection of breast lesions and timely treatment interventions. Why it matters: These advancements in AI-aided diagnostics can lead to earlier and more accurate cancer detection, ultimately improving patient outcomes in the region and beyond.
MBZUAI has launched master’s and Ph.D. programs in computational biology, expanding its research into life sciences. This includes projects like AIDO (AI-Driven Digital Organism) and analysis of the Emirati Genome Program. The programs are part of MBZUAI’s School of Digital Public Health and aim to integrate computational biology with precision medicine. Why it matters: This initiative supports the UAE's vision for a knowledge-based economy and its ambition to become a global center for scientific and technological progress in biotechnology and healthcare.
MBZUAI and the Department of Health – Abu Dhabi (DoH) have signed an agreement to collaborate on AI research across genomics, precision medicine, robotics, and AI-powered diagnostics. Signed on October 13, 2025, the MoU aims to drive breakthroughs in disease prevention, early detection, and therapeutics. The partnership seeks to translate AI research into tangible improvements in patient care within Abu Dhabi and beyond. Why it matters: This partnership signifies a major push to establish Abu Dhabi as a leader in biomedical research and AI-driven healthcare innovation.
The Human Phenotype Project (HPP), led by researchers from Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), published findings in Nature Medicine detailing an understanding of the health-disease continuum. The HPP involves deep and longitudinal profiling of approximately 28,000 participants, collecting diverse data including medical history, lifestyle, blood tests, and molecular profiling. The project aims to create AI-based predictive models for disease onset and progression, and digital twins to simulate interventions. Why it matters: This research can transform precision medicine and preventative care in the UAE by creating personalized digital twins that can simulate interventions and predict health trajectories.
The National Academies of Sciences, Engineering, and Medicine (US) has partnered with the Kuwait Foundation for the Advancement of Sciences (KFAS) to host a series of workshops on precision medicine. These workshops aim to share best practices, foster international collaboration, and strengthen research capacity in Kuwait and the broader Gulf region. Discussions will cover scientific advances, ethical considerations, and policy implications related to precision medicine. Why it matters: This collaboration signifies a concerted effort to advance cutting-edge medical research and build local expertise, positioning Kuwait as a key player in future healthcare innovation within the region.