Eric Lefkowsky – Cancer Management Through Data
Cancer is an intricate form of disease that deceives the body’s defense system by leading to accept that the damaging progressions are part of the normal processes of the body, thus prevents it from stopping the spread of the disease.
Eric Lefkofsky has been thinking since 2015 on how to battle cancer because technically it is a complicated form of disease. As the Chief Executive Officer and Founder of Tempus Labs, a top ten health techs in Chicago, he want to find means and ways to enhance the diagnosis of patients with cancer.
His technique simply is – data. To be clear, it is the collection, organizing and cleaning of voluminous quantity of data from patients with cancer. Tempus acquires such data through collaborative efforts from the nation’s best academic institutions together with comprehensive cancer center that are NCI designated. The essential objective is to have a customize care for ideal cancer treatment and therapy.
Every single patient’s treatment management are stored and saved within their respective medical files. However, there is a conflict between the access and storage of the files. The probable reason is the there are lots of information that doctors can definitely acquire from the files but there is no available system to extract the common patterns and denominators that can show evidence on what treatments were confirmed to be effective.
To address the issue cited Lekofsky initiated Tempus as a way to collect the innumerable volume of data in a single location that is centralized by utilizing a learning platform machine which would correlate molecular data and clinical records in an organize manner. Eric Lefkofsky is hopeful that this would provide a system for better informed therapy approach on cancer and a better standard of quality care.
Tempus allows information to infiltrate therapies for cancer, which reveals the massive quantities of data within a big medical system. Tempus is capable of processing patients’ data at a rate of 50,000 yearly.
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