Nearly everyone asks themselves a hard question on when they will die. The question prompts different answers as innovations are on the verge of bringing apps that could predict our lifespan.
However, there may be an abuse of these apps, such as invading of people’s privacy. Though as it stands, coming up with an app that will accurately predict one’s life expectancy may be difficult. Success may be halted by other factors such as the genetic composition of an individual. But with the new technology emerging, that app may be brought to reality sooner than we think.
Calculating life expectancy
Experts have been predicting the life expectancy of a population based on ethnicity and other such broad factors. However, mechanisms such as artificial intelligence and deep learning can now be employed in unravelling compound variables like biomedical information in predicting your biological age. Biological age means how old your body is rather than when you were given birth to. A reliable calculation of life expectancy will need the use of a refined structure which will put lifestyle, geographical, genetics and environmental factors into consideration.
The use of artificial intelligence and machine learning has made it achievable to analyze a huge bulk of information. Consequently, the use of cognitive computing and deep learning is helping physicians to make reliable diagnoses as compared to the use of human judgment alone. Using these systems, supported with other increasing computational powers and predictive analytics may lead to sophisticated apps that can predict your lifespan.
Is there already an app for this function?
Since there is equipment that can predict cancer survival rates, there may be other upcoming apps that may try to analyze information to predict your life expectancy. However, these apps may not be capable of giving your exact year of death. Since human activities and behaviors are hard to predict, it may be not easy to classify, measure and predict the precise life expectancy of an individual.
To accurately calculate, predict and measure the life span of an individual, it will require the right quantity and quality of available information. Much of this data, like the ethnicity, gender, age, height and weight, can be obtained from the user whose life expectancy is to be predicted. It could also be boosted with data from wearables and sensors, which could be vital in tracking blood pressure and heart rates.
Benefits of predicting life expectancy
Life span predictions can be essential to health providers, governments and individuals. Additionally, they would inform people of their health, whether it’s deteriorating or improving. It would therefore greatly encourage people to choose a healthy lifestyle.
Besides, pharmaceutical organizations could also use life expectancy information in coordinating medical campaigns. Also, the data could help the government in imposing different taxing methods depending on the life span of an individual.
Will these apps come to reality?
Scientists are tirelessly working on avenues to predict human life span accurately. Though it will require effort from data scientists, IT experts, health scientists, medical professionals and demographers. However, it will need a collection of enough data for this process to be effective. However, a lot of ethical concerns can arise since the information to be collected is highly sensitive and needs to be jealously protected.
Fortunately, companies like Predictive Oncology (NASDAQ: POAI) are spearheading the shift from generic remedies to personalized medicine, so this alone is likely to have a positive effect on patient’s life expectancy.
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