A study shows that AI can test brain tumor

Artificial intelligence (AI) has made a breakthrough in the detection of genetic cancer markers in the brain, according to a study by the University of Michigan. The team of neurosurgeons and engineers has developed a new AI-based diagnostic tool called DeepGlioma that can pinpoint genetic mutations in brain tumors during surgery in just 90 seconds. The system uses optical imaging to capture real-time images of brain tumor tissue and analyzes tumor specimens from over 150 patients who had diffuse glioma, a cancerous tumor that originates in the brain or spinal cord.

The new system was said to identify genetic markers consistent with diffuse glioma with an average accuracy of more than 90%, making it easier and faster for doctors to detect those indicators. “This AI-based tool has the potential to improve the access and speed of diagnosis and care of patients with deadly brain tumors,” said Dr. Todd Hollon, a neurosurgeon at University of Michigan Health and assistant professor of neurosurgery at U-M Medical School, in a press release announcing the results.

Molecular testing usually takes days or weeks to get results, and barriers to molecular diagnosis can result in suboptimal care for patients with brain tumors, complicating surgical decision-making and selection of chemoradiation regimens, according to Dr. Hollon. Therefore, he is hopeful that the new technology will result in faster diagnosis and treatment.

The “median survival time for patients with malignant diffuse gliomas is only 18 months,” according to the University of Michigan’s press release. However, the DeepGlioma test could potentially help more patients get into clinical trials sooner by quickly identifying genomic data in cancerous tumors. Fewer than 10% of patients with tumors in the brain or spinal cord are enrolled in clinical trials for new medications, as stated by UM. The trials typically only include patients who are in certain “molecular subgroups.”

Dr. Dung Trinh, chief medical officer of Healthy Brain Clinic in Long Beach, California, who was not involved in the study, said the findings open up the door for “precision medicine” that is personalized and could result in better outcomes for patients with brain tumors. “With the help of AI and other advanced technologies, doctors can analyze large amounts of genomic and other medical data to identify mutations and select personalized treatment plans,” he told Fox News Digital.

The Food and Drug Administration (FDA) defines “precision medicine” as “an innovative approach to tailoring disease prevention and treatment that takes into account differences in people’s genes, environments and lifestyles, with the goal of “target[ing] the right treatments to the right patients at the right time.”

The breakthrough in AI testing of brain tumors offers hope for patients with brain tumors and their families. It also highlights the potential of AI to revolutionize the way cancer is detected, diagnosed, and treated. By identifying genetic markers for brain cancer in less than 90 seconds, doctors can quickly develop personalized treatment plans that can result in better outcomes for patients. The study by the University of Michigan is a significant step towards the use of AI in precision medicine and could pave the way for new and more effective treatments for brain cancer.

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