Who's the better strawberry farmer, a human or AI?

Using powerful analytical tools including gas chromatography mass spectrometry (GCMS) and microbial profiling, "if you analyze the samples from, let's say, skin cancer and bladder cancer and breast cancer and lung cancer -- all things that the dog has been shown to be able to detect -- they have nothing in common." Yet the dog can somehow generalize from one kind of cancer to be able to identify the others. He envisions a day when every phone will have a scent detector built in, just as cameras are now ubiquitous in phones. Such detectors, equipped with advanced algorithms developed through machine learning, could potentially pick up early signs of disease far sooner than typical screening regimes, he says -- and could even warn of smoke or a gas leak as well. They then applied a machine-learning program to tease out any similarities and differences between the samples that could help the sensor-based system to identify the disease.