The subject technology developed by SUNY Downstate Health Sciences University researchers is a BMI system that uses a "reward/expectation" signal derived from a motor cortex within the patient's brain. This allows the system to be updated without manual intervention from the experimenter. 

University at Buffalo technology OralScan is a smartphone application combining guided image capture, on-device image-quality assessment, cloud-based artificial intelligence, and visual presentation of screening results. The platform combines results from multiple oral views into unified dental-arch visualizations and supports longitudinal tracking of oral health findings. 

Obesity caused by disrupted stress-hormone rhythms is metabolically very different from obesity caused by a high-fat diet, according to a new preclinical study by Weill Cornell Medicine investigators. The researchers found in mice that glucocorticoid-rhythm disruption concentrates insulin resistance in skeletal muscle while preserving key insulin responses in fat tissue and liver. This allows fat tissue to continue storing lipids, while the liver remains largely protected from the fat accumulation typically seen with high-fat-diet obesity.