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"As soon as 20 years from now, 45 percent of American jobs may be performed by computers, as many as 10 million self-driving cars will be on the roads, and robots-computerized machines-will infiltrate almost every arena of our daily lives, from healthcare to energy production."

"Participants used an app on their phones to record 30-second intervals of themselves reading a piece of text, describing a positive experience, then describing a negative experience. Doctors also took recordings from a control group of 25 patients who were either healthy or getting non-heart-related tests. The doctors found 13 different voice characteristics associated with coronary artery disease. Most notably, the biggest differences between heart patients and non-heart patients' voices occurred when they talked about a negative experience."

"From another perspective, the idea that people seem comfortable offloading their troubles not on to a sympathetic human, but a sympathetic-sounding computer program, might present an opportunity. Even before the pandemic, there were not enough mental health professionals to meet demand. In the UK, there are 7.6 psychiatrists per 100,000 people; in some low-income countries, the average is 0.1 per 100,000."

"Imagine having a digital twin that gets ill, and can be experimented on to identify the best possible treatment, without you having to go near a pill or a surgeon's knife. Scientists believe that within five to 10 years, "in silico" trials - in which hundreds of virtual organs are used to assess the safety and efficacy of drugs - could become routine, while patient-specific organ models could be used to personalise treatment and avoid medical complications. Digital twins are computational models of physical objects or processes, updated using data from their real-world counterparts. Within medicine, this means combining vast amounts of data about the workings of genes, proteins, cells and whole-body systems with patients' personal data to create virtual models of their organs - and eventually, potentially their entire body"

""I think, without question, having access to quantitative data about our conversations, about facial expressions and intonations, would provide another dimension to the clinical interaction that's not detected right now," said Barron, a psychiatrist based in Seattle and author of the new book Reading Our Minds: The Rise of Big Data Psychiatry."