Researchers have applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain responds to heroin use, withdrawal and relapse. Object ...

Researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy. Artificial ...

A new study suggests wrist-worn sleep trackers may help predict depression relapse weeks early—explore what this means for ...

Liposomal irinotecan together with vincristine and temozolomide (NALIRI-VT) for patients with relapsed or refractory Ewing sarcoma: A two-cohort, phase 1a/1b study.

Recovery from addiction is a challenging journey, filled with both triumphs and setbacks. For individuals seeking long-term sobriety, relapse can be a disheartening reality. However, recent findings ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways and by many consumers to unlock their cell phones or pay for their morning ...