Researchers have used electron microscopes and machine learning to create detailed, high-resolution 3D images of subcellular structures called organelles.
Cambridge University researchers propose using the technique to predict individuals’ health issues over time and intervene early with personalized preventive care.
In cancer research settings, AI has shown strong capabilities for predicting risk, recurrence and survivability over the past 10-plus years. Yet real-world cancer mortality remains largely unchanged to the present day. Why is that?
As COVID-19 continues its latest falloff, close observers are trying to unravel the mystery of the virus’s repeating two-month cycles of surges and retreats.