AI can accurately diagnose conditions like tuberculosis from recorded coughs.

AI has the potential to improve diagnosis and treatment in healthcare, moving beyond just drug discovery.

AI has the potential to transform healthcare by providing continuous monitoring and early detection of health issues, moving from reactive to proactive care.

AI can help improve healthcare delivery by screening populations in areas with limited access to medical professionals, as demonstrated in Thailand.

AI can bridge different scientific modalities, enhancing our understanding of diseases like cancer by integrating imaging, genomics, and other data, and can help integrate sleep data with cardiovascular health and oncology to prevent cancer, which is challenging in traditional healthcare systems.

AI can analyze health records over time to predict future health outcomes, providing individuals with insights into their potential health trajectories.

AI can help create a new gold standard in medical diagnosis by providing consistent results where human experts may disagree.

AI can enhance efficiency in various sectors, such as providing voice customer support, which was previously not cost-effective for large-scale use.

AI can reveal insights from tissue samples without the need for staining, preserving the sample for future tests.