Katie Nelson

“Everyone may agree upon the diagnosis, but not everyone may consent to the therapy. Indeed, for healing, things have to be sacrificed at times and separation or loss might always be heartbreak and leave scars of remorse or regret. (“Sorrow”)”
― Erik Pevernagie

“This had to be the most curious situation in all of her life. Not that she had a great deal to compare it to, of course, living, as she had, quite a sheltered existence. But if anyone had ever had a friend quite like Periapt, she had yet to read about it.
The most peculiar thing was the feeling, the conviction, that here was someone she had been looking for as a friend and companion her entire life.
When they were talking and she wasn't actually looking at him- in the dark, say, when they would go up to the top of the tower to rest their eyes and look at the stars- she never, ever even thought about the fact that he was a dragon. In fact, if she was reading a book with him and he would say something aloud, she would get a kind of shock to her system when she looked up and saw, not a person, but a huge, dusky-emerald dragon head.
The shock was getting worse, too, not better, every time she looked up and didn't see the studious young man she expected to see.”
― Mercedes Lackey, One Good Knight

“People are guests in our story, the same way we are guests in theirs. But we all meet each other for a reason because every person is a personal lesson waiting to be told.”
― lauren klarfeld

“Given the central place that technology holds in our lives, it is astonishing that technology companies have not put more resources into fixing this global problem. Advanced computer systems and artificial intelligence (AI) could play a much bigger role in shaping diagnosis and prescription. While the up-front costs of using such technology may be sizeable, the long-term benefits to the health-care system need to be factored into value assessments.
We believe that AI platforms could improve on the empirical prescription approach. Physicians work long hours under stressful conditions and have to keep up to date on the latest medical research. To make this work more manageable, the health-care system encourages doctors to specialize. However, the vast majority of antibiotics are prescribed either by generalists (e.g., general practitioners or emergency physicians) or by specialists in fields other than infectious disease, largely because of the need to treat infections quickly. An AI system can process far more information than a single human, and, even more important, it can remember everything with perfect accuracy. Such a system could theoretically enable a generalist doctor to be as effective as, or even superior to, a specialist at prescribing. The system would guide doctors and patients to different treatment options, assigning each a probability of success based on real-world data. The physician could then consider which treatment was most appropriate.”
― William Hall, Superbugs: An Arms Race against Bacteria