KAUST organized a breast cancer awareness event in Thuwal on October 12, attended by over 150 women and girls from the local community, along with healthcare and education partners. The event featured educational lectures, personal stories from breast cancer survivors, and interactive sessions on early screening. KAUST's director of Social and Community Development highlighted the university's commitment to women's health and empowerment through such initiatives. Why it matters: This event demonstrates KAUST's commitment to social responsibility and community engagement by promoting health awareness and empowering women, aligning with Saudi Vision 2030.
KAUST is highlighted for its commitment to multidisciplinary research, innovation, and strong leadership, particularly regarding women's education. The university was the first mixed-gender university in Saudi Arabia, with women comprising around 40% of its student population. KAUST actively recruits female faculty members and appoints them to leadership positions, demonstrated through workshops like Women in Science and Engineering (WISE). Why it matters: This underscores the increasing role of women in STEM fields within Saudi Arabia, facilitated by institutions like KAUST.
KAUST hosted a regional Women in Data Science (WiDS) conference, part of a global event held at over 100 regional institutions led by Stanford University. The KAUST event featured exclusively female speakers and aimed to highlight data science research and applications. KAUST is launching a 'Women in Data Sciences and Technology' initiative to support women's education and careers in the field. Why it matters: This initiative can help address the underrepresentation of women in data science in Saudi Arabia and the broader region.
A panel discussion on women in biology was held as part of the 2016 Fall Enrichment Program at KAUST. Jasmeen Merzaban, Ashwag Abdullah Albukhari, Bettina Berger and Peiying Hong were the speakers. The event featured successful female scientists sharing their experiences. Why it matters: Showcases KAUST's commitment to promoting women in STEM fields and providing a platform for their voices.
A report discusses using AI to optimize healthcare delivery across the entire medical process cycle, including pre-hospital screening, in-hospital treatment, and post-hospital rehabilitation. It considers optimal management of workflow, medical resources, and comprehensive healthcare coverage. Dr. Jingshan Li from Tsinghua University is the author, with extensive publications and experience in production and healthcare systems. Why it matters: AI-driven improvements to healthcare processes could lead to better resource allocation and enhanced patient outcomes across the GCC region.
The third annual Women in Science and Engineering (WISE) Workshop was held at KAUST, with 1635 online and 140 in-person attendees. The workshop focused on empowering women in STEM with strategies for mental wellness and balance in their personal and professional lives. Participants shared personal and professional experiences and approaches to achieving success. Why it matters: Promoting inclusivity and addressing the unique challenges faced by women in STEM fields is crucial for fostering a more diverse and equitable research environment in Saudi Arabia.
A 2016 KAUST Winter Enrichment Program seminar, "Women in Science and Engineering," convened female scientists from KAUST and abroad. Panelists like Jasmeen Merzaban and Charlotte Hauser shared their career experiences and addressed challenges faced by women in STEM. They noted that women constitute 60% of higher education graduates in Saudi Arabia and will be vital to the Kingdom's knowledge economy. Why it matters: The event highlights the increasing role of women in Saudi Arabia's STEM fields and KAUST's commitment to supporting female scientists.
MBZUAI's BioMedIA lab, led by Mohammad Yaqub, is developing AI solutions for healthcare challenges in cardiology, pulmonology, and oncology using computer vision. Yaqub's previous research analyzed fetal ultrasound images to correlate bone development with maternal vitamin D levels. The lab is now applying image analysis to improve the treatment of head and neck cancer using PET and CT scans. Why it matters: This research demonstrates the potential of AI and computer vision to improve diagnostic accuracy and accessibility of healthcare in the region and beyond.