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A new artificial intelligence (AI) model developed by scientists has the potential to revolutionise tuberculosis (TB) treatment by predicting personalised treatment outcomes. Published in the journal iScience, the study analysed diverse biomedical data from TB patients, including clinical tests, genomics, medical imaging, and drug prescriptions.
Researchers have developed an artificial intelligence (AI) tool that uses sequences of life events — such as health history, education, job and income — to predict everything from an individual’s personality to their lifespan.
Google’s Gemini signals the emergence of a major competitor. Of course, OpenAI is almost certainly working on GPT-5, and we can expect that it will also be multimodal.
Google has integrated the new Gemini Pro with its chatbot Bard, which is a direct competitor of ChatGPT
An AI model can accurately estimate an individual's age and chronic disease risks by analysing chest X-rays, according to research from Osaka Metropolitan University in Japan. The AI system was trained using the chest radiographs of over 100,000 individuals, providing a significant new tool for early disease detection and intervention.