Al Ain (WAM)
The United Arab Emirates University signed a memorandum of understanding with the French medical company Sanofi yesterday, to cooperate in the fields of scientific research to develop new medical mechanisms, using artificial intelligence techniques, to contribute to the early diagnosis of rare genetic diseases.
The memorandum was signed by Dr. Ahmed Murad, Associate Vice President for Scientific Research, on the Emirates University side, while Jean-Paul Schober – President and General Manager of Sanofi in the Gulf region
Dr. Ahmed Ali Murad emphasized that this partnership is part of the efforts made by the UAE University in order to achieve its desired goals and positively contribute to the system of applied scientific research in the country, and to support pioneering research that would address the health challenges prevailing in the region and bring about a qualitative change in human life. As the university attaches utmost importance to scientific research by providing research facilities that help researchers to conduct scientific research in all fields. He pointed out that cooperation in scientific research between the university and the private industries sector, such as the global “Sanofi” company, paves the way for further scientific development and improving the quality of health care in the country, through promising research projects that contribute to improving the quality of life for individuals and societies. “At Sanofi, our commitment to the health and comfort of our patients goes beyond the stages of treatment, as we believe in the great role that effective partnership plays in addressing forgotten needs and closing diagnostic gaps. Therefore, we are pleased to collaborate with the United Arab Emirates University to promote private research in the field of rare diseases and ultimately help provide better health outcomes for patients. ” The memorandum of understanding provides for strengthening cooperation between the two parties in the field of scientific research on some rare genetic diseases, which due to their rarity and similarity of symptoms to other diseases, the correct diagnosis of them is delayed up to 15 years from the first appearance of symptoms on the patient, using artificial intelligence and learning algorithms. Automated search in medical files, which helps to suspect infection, and then examining patients and conducting the necessary genetic tests to confirm disease infection, to start directly providing treatment and appropriate health care for each case.