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Presented by: Matt Might Precision medicine promises to deliver ultra-personalized care by casting medicine as an optimization problem: identifying the best possible treatment with respect to all available data. A slew of recent advances in biology, starting with the ability to sequence the human genome, have caused an explosion in the amount of data one can collect on a single patient and a similar explosion in the complexity of reasoning about this data in order to solve this optimization problem. Computational support for the practicing physician is no longer an option. This talk covers precision medicine from the ground up for computer scientists — through a personal journey from programming languages research into academic medicine. It will demonstrate progress to date, including the now-routine use of relational programming in miniKanren to identify personalized treatments for patients with some of the rarest and most challenging diseases in the world.
2019 at OCamlPro OCamlPro a pour ambition d’aider les industriels dans leur adoption du langage OCaml et des méthodes formelles. L’entreprise est passée d’1 à 21 personnes et est restée fidèle à cet objectif. L’année 2019 chez OCamlPro a été très animée, et le nombre de réalisati...
2019 at OCamlPro OCamlPro was created to help OCaml and formal methods spread into the industry. We grew from 1 to 21 engineers, still strongly sharing this ambitious goal! The year 2019 at OCamlPro was very lively, with fantastic accomplishments all along! Let's quickly review the past years' works...
When we set up a schedule on a computer, such as a list of commands torun every day at particular times via Linux cronjobs, weexpect that schedule to execute...

