In a remarkable demonstration of the capabilities of large multimodal ResNet models applied to chest X-ray images, we've revealed how the integration of EMR data can enable accurate predictions of Type 2 diabetes. Much akin to the principles of real estate, location is paramount; the area where fat is deposited in the body significantly influences the risk. The beauty of this is that chest radiographs are common and in many cases will precede the diagnosis of diabetes.