Piscataway, NJ – (work wire) – IEEE, the world’s largest technical professional organization dedicated to advancing technology for humanity, and IEEE Engineering in Medicine and Biology Society (EMBS) today announced the publication of a study on a new framework for artificial intelligence (AI) to identify a specific type of genetic mutation and its relationship to improved survival. Alive for colorectal cancer patients. The report, drawn from research by a team of members of the Chinese University of Hong Kong and a startup, GMed IT Ltd, has been published in IEEE Open Journal of Engineering in Medicine and Biologyand is freely available for open access and full-text view to all readers worldwide.

The report, “Identification of tissue types and genetic mutations from histopathological images to enhance the biology of colorectal cancer,” is available at IEEE Xplore® A digital library, detailing how AI can be used to more quickly predict mutated KRAS (Kirsten sarcoma) genes in cancer patients–a key step in evaluating and recommending treatment options. Patients with the predicted mutant KRAS genes in the study showed a higher survival rate two and a half years after diagnosis.

“Artificial intelligence is emerging as a very useful aid to clinicians in making decisions about care because it can show them insights they cannot see with their naked eyes and provide an important benchmark for many procedures,” said one of the report’s authors, Dr. Carmen Poon with GMed IT Ltd. “In the current field of cancer biology, we typically associate KRAS gene mutations with a poor prognosis for patients with colorectal cancer. But our study showed improved survival rates when a unique AI framework that takes advantage of endoscopy and histopathology information was used to predict mutations.”

In typical clinical practice, the endoscopy specialist or surgeon will examine the patient’s tissues and then send the sample to a pathologist for deeper, microscopic analysis to identify KRAS mutations associated with colorectal cancer and other types of cancer. The IEEE Open Journal of Engineering in Medicine and Biology The report details a study in which this process is compressed by leveraging artificial intelligence to classify tissue types and identify KRAS mutations in real time. The study was based on data collected from 501 patients.

Paolo Bonato, Editor-in-Chief, said: IEEE Open Journal of Engineering in Medicine and Biology. “We are dedicated to a unique group of readers in our journal from science and engineering across medicine and biology to build on study findings and offer innovative capabilities to impact real-world clinical practice.”

About IEEE

IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. Through its publications, conferences, technology standards, and professional and educational activities, IEEE is the trusted voice in a variety of fields ranging from aerospace systems, computers and communications to biomedical engineering, electrical power, and consumer electronics. Learn more.

About the IEEE Engineering in Medicine and Biology Society

IEEE Engineering in Medicine and Biology (EMBS) is the largest international association of biomedical engineers in the world. With over 9,500 members residing in approximately 97 countries around the world, this is a truly global connection, providing access to the most amazing people, practices, information, ideas, opinions and fellowship from one of the fastest growing scientific fields: Biomedical Engineering. From formal mathematical theory through experimental sciences, from technological development to practical clinical applications, IEEE EMBS members support scientific, technological, and educational activities as they apply to the concepts and methods of the physical and engineering sciences in biology and medicine. By working together, we can change and revolutionize the future of medicine and healthcare. For more information about IEEE EMBS, please visit www.embs.org.

about IEEE Open Journal of Engineering in Medicine and Biology

The IEEE Open Journal of Engineering in Medicine and Biology Covers the development and application of engineering concepts and methods in biology, medicine and the health sciences to provide effective solutions to biological, medical, and healthcare problems.

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