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Saudi Food and Drug Authority CEO Visits Agency for Science, Technology and Research in Singapore

The CEO of the Saudi Food and Drug Authority (SFDA) visited the Agency for Science, Technology and Research (A*STAR) in Singapore. SPA
The CEO of the Saudi Food and Drug Authority (SFDA) visited the Agency for Science, Technology and Research (A*STAR) in Singapore. SPA
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Saudi Food and Drug Authority CEO Visits Agency for Science, Technology and Research in Singapore

The CEO of the Saudi Food and Drug Authority (SFDA) visited the Agency for Science, Technology and Research (A*STAR) in Singapore. SPA
The CEO of the Saudi Food and Drug Authority (SFDA) visited the Agency for Science, Technology and Research (A*STAR) in Singapore. SPA

The CEO of the Saudi Food and Drug Authority (SFDA), Dr. Hisham bin Saad Al-Jadhey, visited the Agency for Science, Technology and Research (A*STAR) in Singapore, and met with the Executive Director of the A*STAR Biomedical Research Council (BMRC), Dr. Azlinda Anwar, and A*STAR Executive Director of the Singapore Institute of Food and Biotechnology Innovation (SIFBI) Dr. Sze Tan.
Al-Jadhey was briefed on the work of the BMRC, the SIFBI, and the biotechnology ecosystem in Singapore.
A*STAR is an entity affiliated with the Singapore's Ministry of Trade and Industry which supports research and development in several areas, including human health and biomedicine in the public sector.
This visit came on the sidelines of the SFDA's participation in the 5th Annual Meeting of the International Heads of Food Agencies Forum (IHFAF), which took place in Singapore from April 16 to 20.

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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.