An AI tool that creates digital twins of patients can predict our future health, according to a new study. Named Foresight, the tool uses generative pre-trained transformers, the same family of large language models (LLMs) used by ChatGPT.
Researchers in the UK first trained the models on medical records. Next, they fed their tool fresh healthcare data to create vetual duplicates of patients.
Finally, the digital twins forecast various outcomes, from disease development to medication needs. Scientists are particularly excited about the prospect of accelerating diagnosis.
AI-generated digital twins have the potential to play a significant role in predicting future health statuses in developing countries. A digital twin is a virtual representation of an individual that incorporates various data sources, such as medical records, genetic information, lifestyle data, and environmental factors. By applying advanced AI algorithms to analyze and interpret these data, digital twins can provide personalized health insights and make predictions about an individual’s future health.
In the context of developing countries, where healthcare resources and infrastructure may be limited, digital twins can offer several advantages like:
Early disease detection, risk assessment, treatment optimization, and healthcare planning. However, addressing challenges related to data availability, ethics, and access is crucial to realizing the full potential of digital twins in these settings.
Source: thenextweb.com
