With respect to the DSM-5, I am agnostic about the diagnostic criteria for individual conditions, such as panic disorder or generalized anxiety disorder; in the end, I am not certain that either of these categories capture nature or will even appear in the DSM-6. When it comes to individual diagnostic categories, I would recommend that the DSM-5 take a conservative approach, leaving criteria unchanged unless compelling new evidence suggests that a change would be beneficial. Whatever the ultimate approach to the DSM-5, it is critical that the scientific community escape the artificial diagnostic silos that control so much research, ultimately to our detriment.

"… The results indicate that advanced topological texture features can provide superior classification performance in computer-assisted diagnosis of interstitial lung diseases when compared to standard texture analysis methods."

"About ten years ago I attended an event hosted by a couple of medical academics. It was a concert at a pretty big auditorium in Denver, and the invitees were almost all participants in the academics’ prostate cancer research trials (I was there for other reasons). This was before I had begun to study the pharmaceutical industry’s role in the obesity panic, and I remember thinking at the time, who is paying for all this? (The event was on a scale that must have cost well into six figures). That’s not a question I would ask today."

"The mean spectra were provided as input sequences to the Implicit Context Representation Cartesian Genetic Programming algorithm (IRCGP)[14,15]. IRCGP uses evolutionary computing methodology to learn classifiers that are capable of distinguishing between data classes. Induced classifiers take the form of programmatic expressions applied to particular offsets within the input data sequences. These expressions are composed from a set of simple mathematical functions. Both the choice and connectivity of the functions, and the choice of offsets used within the input sequences, are determined by the algorithm's evolutionary process. The input sequences were divided equally into training and test sets. To prevent over-learning, training of the classifiers was stopped once classification accuracy of the test sequences started to fall."

"Open source healthcare is forging forward quickly on the Internet. But, fast developments often produce many failures. But, many medicinal open source projects that have gained success development. This success shows that open source alone is not the solitary factor in development. Instead, look to great management, public relations, marketing and a sound program that stands up under the scrutiny of a growing number of peer users and, often, patients."

"The Depressive Pessimist will complain that the task that they're doing isn't enjoyable, and make statements doubting the group's ability to succeed.

The Jerk will say that other people's ideas are not adequate, but will offer no alternatives himself. He'll say "you guys need to listen to the expert: me."

The Slacker will say "whatever", and "I really don't care."