IS ON

Speed-related crashes rack up a combined cost of more than $40 billion across the nation each year, but of far greater significance, the National Highway Traffic Safety Administration reports that speeding-related deaths in 2021 totalled 12,330. That is a lot of people. Even more unfortunate, NHTSA statistics for 2021 say that the number of speeding drivers in fatal crashes who were not wearing seat belts was 51 percent.

Since every one of us knows that speeding is dangerous and wearing seat belts is the law, it’s especially lamentable that so many deaths are easily preventable. No wonder the GOHS actively pursues its mission to educate us all (on things we already know) and offer their support to traffic enforcement.

After all, it isn’t all impersonal numbers from national statistics. GOHS says almost 20% of all fatal crashes in Georgia every year involve speeding. That translates to hundreds of annual deaths that might have been avoided by more moderate speeds.

One note about excessive speed that many drivers overlook: speeding could actually mean driving 40 mph in a 55 mph stretch of road; it isn’t always defined solely by speed limit signs posted alongside the road. Driving down a poorly lit and unfamiliar road at night; on a perfectly straight road in broad daylight during a torrential rainstorm; or driving past a collision or through a construction zone are all examples of situations where the brainless sign on the shoulder should be ignored by the intelligent safe driver who opts for a slower, safer speed.

It’s a great way to avoid the H.E.A.T.

cancer of the body’s blood-forming tissues, including the bone marrow and the lymphatic system, and usually involves the white blood cells. The bone marrow produces excessive abnormal white blood cells, which don’t function properly. Lymphomas are cancers that originate in the lymphatic system. Lymphoma is a major global health problem; non-Hodgkin lymphoma, in particular, is the tenth most common type of cancer worldwide. AI’s ability to enhance medical imaging capabilities enables medical professionals to perform early diagnostic analysis of blood cultures, metabolic activity/disorders, and the anatomical structure of lymphomas.

Imagine the impact of AI’s deep learning capability as a diagnostic and predictive tool for doctors. When this tool is finally mainstream, positive early detection and treatment results could become the norm for high-risk patients. The future looks promising for this application of technology, and that, my friends, is no technobabble.