Will an oncologist of the not-so-distant future be able to pull up an image of a tumor biopsy slide on a screen and—without having to order a biomarker test—see the molecular characteristics of the cancer?
Owkin’s AI model provides proof of concept that machine learning can predict gene expression across cancer types
Share on facebook
Share on twitter
Share on linkedin
Share on email
Share on print
YOU MAY BE INTERESTED IN
More than half of deaths that are not attributed to disease progression or recurrence after CAR T-cell therapy are caused by infections—an unprecedented finding that experts say marks a shift from a conventional focus on mitigating treatment-specific adverse events to including prevention and management of infections.
Christy Erickson was seven years old when her mom lost a three-year battle with breast cancer.
Two decades after uncovering the role of EGFR mutations in lung cancer, scientists are still grappling with lingering research questions.
Lei Zheng was named executive director of the Mays Cancer Center, home to UT Health San Antonio MD Anderson Cancer Center, and vice president for oncology for the University of Texas Health Science Center at San Antonio.
Mark Burkard was named director of University of Iowa Health Care Holden Comprehensive Cancer Center.
