Individual early-detection tests like blood biopsies or MRIs are imperfect, leading to false positives and negatives. The next step in diagnostics is a "multimodal" approach, layering different screening types, such as genomic blood tests and imaging, to create a more accurate and comprehensive picture of a patient's health.
AI platforms can analyze existing medical images, like CT scans ordered for a cough, to find subtle, early signs of cancers. This repurposes vast amounts of routine diagnostic data into a powerful, passive screening tool, allowing for incidental discoveries of diseases like pancreatic cancer without new procedures.
Cancer screening is moving beyond broad demographic guidelines (e.g., age) to a model based on individual risk. This includes not only genetics and environmental exposures but also novel, passive data streams from smart devices like toilet sensors monitoring stool or even subtle changes in a person's typing patterns over time.