What if you could know exactly how food or medication would impact your health -- before you put it in your body? Genomics researcher Jun Wang is working to develop digital doppelgangers for real people; they start with genetic code, but they'll also factor in other kinds of data as well, from food intake to sleep to data collected by a "smart toilet." With all of this valuable information, Wang hopes to create an engine that will change the way we think about health, both on an individual level and as a collective.
Once a cared-for patient and now a caregiver himself, Scott Williams highlights the invaluable role of informal caregivers -- those friends and relatives who, out of love, go the extra mile for patients in need. From personal care to advocacy to emotional support, unpaid caregivers form the invisible backbone of health and social systems all over the world, Williams says -- and without them, these systems would crumble. "How can we make sure that their value to patients and society is recognized?" he asks.
