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To Develop New Algorithm That Will Predict Americans' Health Needs, NIH Funds AI Project

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These days, artificial intelligence is practically ubiquitous. AI has actually expanded, with applications ranging from turning your photos into anime characters to gathering real-time data on the climate issue. After the National Institutes of Health (NIH) awarded a $170 million funding to a programme called Nutrition Precision Health (NPH) to launch a five-year research with close to 10,000 participants, AI was once again used in the field of health earlier this year. The NPH's primary objective is to develop algorithms that forecast each person's responses to food and dietary habits. The study is expanded upon by relying on recent developments in artificial intelligence (AI), microbiome research, and biomedical science, as well as with the help of the All of Us Research Program. [caption id="" align="aligncenter" width="600"]NIH Funds Ambitious AI Project that will Create Algorithms Predicting the Health Needs of Americans | Tech Times Image credit- Tech Times[/caption] The NIH Office of Nutrition Research's Holly Nicastro, the programme director, told CNN that their approach is distinct since it depends on a variety of factors, many of which are not commonly examined in nutrition science. She stated that the NPH research will look into the effects of a person's genes, microbiome, biology, and physiology, health history, environment, psychology, and social determinants of health on how they respond to nutrition. All of Us is inviting one million people from around the US to take part in building one of the most diverse health databases in history. It is anticipated that the majority of participants will come from underrepresented groups in the biological sciences. [caption id="" align="aligncenter" width="690"]NIH Grant to Fund AI-Driven Chronic Disease Disparity Project Image credit- HealthITAnalytic[/caption] In order to gather information from the participants in All of Us, biological samples, electronic health records, digital health technologies, and surveys will all be used. NPH will be able to analyse elements including sex, race, and age thanks to the research program's varied participant base. Nicastro claims that the NPH is divided into three modules. Data on each participant's average daily dietary habits will be gathered in the first module. Then, in Module 2, a subset of the Module 1 individuals will follow three alternative diets. In Module 3, a more limited and unique set of volunteers from Module 1 will participate in a two-week study in a research facility where their diets will be closely observed by researchers.

By Monica Green

I am specialised in latest tech and tech discoveries.

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