deep learning in oncology

Imagine an oncologist stepping out of tumor board and into clinic with a complex case at hand. The patient’s tumor has multiple high-risk features, genomic mutations, and borderline indications for therapy. In the past, the doctor might sift through guidelines,…

A deep learning model using biological age estimations from photographs improved physicians’ survival predictions in patients with incurable cancer receiving palliative care. The study, published in Lancet Digital Health, found that the faces of cancer patients averaged five years older…