MEDTECH AI uncovers biomarker to predict deep brain stimulation successes in depression- NIH study

“To find the biomarker, the scientists used artificial intelligence to analyze the mass of brain data collected from six of the study’s 10 participants throughout the study period; each of the patients underwent DBS therapy for six months, with the implanted devices’ electrodes specifically aimed at the subcallosal cingulate cortex region of the brain.  . . . .   Once defined, the scientists were able to develop an AI algorithm that works in the opposite direction: homing in on the biomarker to detect changes that could serve as an “early warning signal” that a patient’s depression may be worsening, per the NIH release, and letting their doctors know that it’s time to increase their DBS dose and clinical care.”      MORE

Image. Credit:   Fierce Biotech