Because we each have an inherently unique ‘odorprint’—thousands of organic compounds that reveal age, genetics, lifestyle, and hometown, and even the metabolic processes that underlie our health—researchers have been attempting to build an inexpensive odor sensor for “quick, reliable, and noninvasive diagnoses.”
Two chronic illnesses—heart disease and diabetes—cost the United States billions of dollars annually, yet the advancement of new technology and analytics have the potential to cut ‘costly and unnecessary’ hospitalizations, while simultaneously improving patient care and outcomes.
The use of artificial intelligence and machine learning is altering the face of medicine, with the potential to help improve overall medical diagnosis in an enormous way.
Diabetic eye disease, formally known as Diabetic Retinopathy, is a complication resulting from diabetes that affects the eyes. Caused by damage to the blood vessels of the retina—the light-sensitive tissue found at the back of the eye—diabetic retinopathy can ultimately lead to irreversible blindness. Statistics reveal that the disease will affect up to 80% of those who have had diabetes for over two decades.