Hello, we (*) are trying to set up a combined neuroscience/information technology project for the following purpose: ALS is a fatal neurological disease that has no known cause or cure and kills its victims within a few years. Our view is that one reason why all drugs have failed in clinical tests in spite of promising preclinical data is assumption that ALS is a single disease. On the contrary, it seems there is lots of variation regarding e.g. place of onset, preference between upper and lower neurons, associated genes, aggregating proteins, anomalous biochemical processes etc. What we are trying to do is to assemble a group of neuroscientists and computer scientists to figure out a way to code an intelligent search robot to go through the ever-expanding mass of medical publications (e.g. PubMed) in order to make it possible to distinguish between different forms of ALS. The ultimate goal is to include in this model genetic profiling data, laboratory analysis data etc. as well as information on the effect of different drugs on the biochemical processes, so that one could design a personalized medication cocktail based on the genetic profiling and lab data. The fundamental task is to design and implement an optimal data structure for this purpose. We have so far been conducting our search only in Finland, but as it seems quite a challenge to find the right kind of computer scientist for this kind of a project, I thought it makes sense to mention it here as well. (*) we = a group of private individuals trying to make things go forward - not affiliated to any research organization. My motivation is based on having ALS since 2010 and not having the possibility to live long enough to see a cure.