New AI Tool May Help Predict Best Treatments for Colorectal Cancer

Researchers have developed an artificial intelligence machine-learning platform that can predict the prognosis and likely treatment response of patients with colorectal cancer (CRC) using histopathology images, according to a new study published in Nature Communications.

Specifically, the tool can aid doctors in identifying a "molecular diagnosis" based on a patient's tumor and cancer characteristics, Kun-Hsing Yu, MD, PhD, the study's senior author and an assistant professor of biomedical informatics at Harvard Medical School in Boston, Massachusetts, told Medscape Medical News.

The Multi-omics Multi-cohort Assessment (MOMA) "successfully identified indicators of how aggressive a tumor was and how likely it was to behave in response to a particular treatment," as well as patients' overall and disease-free survival, noted Harvard Medical School in a press release. "Based on an image alone, the model also pinpointed characteristics associated with the presence or absence of specific genetic mutations — something that typically requires genomic sequencing of the tumor."

The researchers designed the tool to offer "transparent reasoning," so that if a clinician asks it why it made a certain prediction, it would be able to explain its reasoning and the variables it used, the press release noted.

Source: MEDspace