There are visible symptoms connected with many illnesses. Where a disease does not present visible symptoms they frequently can be diagnosed through b blood test readings. As I mentioned yesterday, Google is building artificial intelligence into its Google lens connected to its smart phone. So, with regard to disease detection and “roughcut” diagnoses, I want to suggest applying the lens to spote, for example, liver diseases such as cirrhosis or hepatitis. Initially, there may be obvious signs such as jaundice, a yellowish tinge in the skin and weight loss. Not to suggest this supplant g medical training but where doctors aren’t available initial symptom recognition at basic health clinics might be able to reduce the time in which those in significant need are transported to a hospital to be treated by a physician. Blood tests too can now be taken and sent by the web to specially trained “readers”. The connection here is between those disorders which can be initial “possible” diagnoses via an app then verified before precious funds used to transport individuals to available medical facilities. There is another potential benefit here which could reduce massive economic burdens on the global community by to identifying blood disorders of virulent infectious diseases at the earliest stages through distribution of the lend and smart phones throughout those geographic locations where epidemics are most likely to spawn. This would allow the most efficient use of resources to quell a potential epidemic with the early intervention, again to be verified once the initial alarms sound.
Jeffrey Newman
