AI estimates your organic age and this is good news for your health
Chronological age has been calculated since birth and biological age is the real aging of cells that is influenced by genetics, stress, physical activity and lifestyle such as smoking or alcohol consumption.
Better medical treatments with AI
Facing was trained on nearly 60,000 adult portraits over 60 in good health. The tests carried out on more than 6,000 patients with cancer in the United States and the Netherlands have shown that these diseases have a biological age greater than 4.79 years at their real age. The greater the gap, the more the chances of survival decrease, regardless of chronological age, sex or the type of tumor.
“Our hypothesis is that faceage could be used as a biomarker in the treatment of cancer to quantify the biological age of a patient and help the doctor make these difficult decisions”explains Raymond Mak, oncologist at Mass General Brigham, as reported Bfmtv.
Example: Between a septuagenarian whose biological age is 65 years and a sixty -something woman whose biological age is 70 years, invasive radiotherapy could suit the first but not in the second, more risky.
AI is not based on the classic signs of aging such as gray hair or baldness, facial muscle tone, etc. The algorithm is effective as has proven an experience. Eight doctors identified, among photos of terminal phase, those who died within six months. The success rate has improved considerably with faceage.
Facing will allow you to personalize heavy medical treatments but questions arise in terms of ethics. Hugo Aerts, co -author of the study and head of AI at Mass General Brigham, calls for “Ensure that these technologies are only used in the patient’s interest”. Insurers or employers may be tempted to use this data for other purposes.
The AI continues its development with the creation of a second generation of faceage which will be led to a sample of 20,000 patients.
