New AI Could Predict Fertility, Obesity, Cancer Risk, Financial Status; Works Like the Death Calculator

The creators of Life2vec AI work aim to explore one's patterns and relationships using artificial intelligence (AI). This time, they want to predict a wide range of health and social "life-events."

New AI Program From Live2vec Creators

Sune Lehmann, a professor at the Technical University of Denmark (DTU) and one of the authors of the study, said the new AI is a "very general framework for making predictions about human lives." It can reportedly predict anything where one has training data and the possibilities are endless.

"It could predict health outcomes. So it could predict fertility or obesity, or you could maybe predict who will get cancer or who won't get cancer. But it could also predict if you're going to make a lot of money," he explained.

The program employs a methodology akin to ChatGPT's but instead examines life-influencing factors like birth, education, social advantages, and even work schedules.

The group is attempting to "examine the evolution and predictability of human lives based on detailed event sequences" by modifying the advancements that made language-processing algorithms possible.

According to one viewpoint, lives are just collections of events -- people are born, go to the pediatrician, begin school, relocate, get married, and so on, Lehmann added.

"For now, it's a research project where we're exploring what's possible and what's not possible," Lehmann said.

The new AI spawned rumors of being the new "death calculator." It basically works in the same way as both make predictions.

However, one should be aware of fake sites that dupe people into using their AI program for a life expectancy prediction only to get access to one's personal data.

The software, according to the researchers, is confidential and not currently accessible online or to the larger scientific community.

Life2vec's Death Calculator

Life2vec operates in a manner similar to a chatbot like ChatGPT, as opposed to other models. It makes the most of the information now available to forecast potential future events in these areas.

It is said that scientists from Denmark and the US developed the bot. These experts used a sizable Danish data collection to train the machine learning algorithm. Different data from over six million real people were fed into the system. The information covered the years 2008 to 2016 and included information on occupation, income, place of living, past pregnancies, and injuries.

Because of this, the model was able to comprehend plain language and forecast things like a person's chance of dying young and their potential lifetime income. It forecasts a person's potential course based on the written data offered.

Having a mental health diagnosis, being male, or working in a specialized field were some of the characteristics associated with an earlier death. Among other things, being in a leadership position and earning more money were linked to a longer lifetime.

The program was able to estimate with 78 percent accuracy who would die by 2020 based on demographic statistics.

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