This course reviews the key genomic technologies and computational approaches that are driving advances in prognostics, diagnostics, and treatment. Throughout the semester, emphasis will return to issues surrounding the context of genomics in medicine including: what does a physician need to know? what sorts of questions will s/he likely encounter from patients? how should s/he respond? Lecturers will guide the student through real world patient-doctor interactions. Outcome considerations and socioeconomic implications of personalized medicine are also discussed. The first part of the course introduces key basic concepts of molecular biology, computational biology, and genomics. Continuing in the informatics applications portion of the course, lecturers begin each lecture block with a scenario, in order to set the stage and engage the student by showing: why is this important to know? how will the information presented be brought to bear on medical practice? The final section presents the ethical, legal, and social issues surrounding genomic medicine. A vision of how genomic medicine relates to preventative care and public health is presented in a discussion forum with the students where the following questions are explored: what is your level of preparedness now? what challenges must be met by the healthcare industry to get to where it needs to be?

Lecturers
Dr. Atul J. Butte
Dr. Steven A. Greenberg
Dr. Alvin Thong-Juak Kho
Dr. Peter Park
Dr. Marco F. Ramoni
Dr. Alberto A. Riva
Dr. Zoltan Szallasi
Dr. Jeffrey Mark Drazen
Dr. Todd Golub
Dr. Joel Hirschhorn
Dr. Greg Tucker-Kellogg
Dr. Scott Weiss

This course will focus on understanding aspects of modern technology displaying exponential growth curves and the impact on global quality of life through a weekly updated class project integrating knowledge and providing practical tools for political and business decision-making concerning new aspects of bioengineering, personalized medicine, genetically modified organisms, and stem cells. Interplays of economic, ethical, ecological, and biophysical modeling will be explored through multi-disciplinary teams of students, and individual brief reports.

Hodges’ Health Career (Care Domains) Model provides a conceptual framework upon which users can map problems, issues and solutions across four knowledge domains: Interpersonal; Sociological; Scientific; & Political (Autonomy). The public may also be taught to use the model, enabling engagement, understanding and concordance in planning and outcome evaluation.

Brian Hodges' original notes, a resources page and links (800+) are included. Additional material on health informatics and the potential role of visualization in care assessment and evaluation can also be found.

In April 2006 a blog related to Hodges' model was created: 'Welcome to the QUAD':

http://hodges-model.blogspot.com/

The blog includes a bibliography and a growing archive of posts that are also tagged. There are plans to create a new website using the content management system Drupal. There is an eclectic mix posts that includes examples of using the domains of the model.

You can contact Peter Jones at h2cmng @ yahoo.co.uk and through twitter:

http://twitter.com/h2cm

These exercises are originally part of the KLaSS module developed by King's College London Library Services to provide information literacy e-learning to students across our faculties. They were built and developed with Adobe Captivate 9 and published in HTML5 format, suitable for use with Moodle.This set of exercises is designed to provide information literacy support to students in the Faculty of Natural & Mathematical Sciences, which encompasses subjects like Informatics, Computer Science, Mathematics and Geography. The database used to demonstrate the principles is Web of Science, a broad resource holding literature on a wide variety of STEM subjects.The lessons cover the following topics:Planning an effective literature search - how to focus a research question and identify its key topics and componentsFinding literature - how to use different search techniques like truncation in Web of ScienceFinding full text articles in Web of Science - how to use the SFX system to look up the full texts of search results, and what to do if you don't immediately get accessWeb of Science Search Tips - using slightly more advanced techniques to run better searches, like using phrase searchingCombining searches in Web of Science - how to use AND & OR to broaden and refine seaches in Web of Science to retrieve relevant articles and informationFiltering search results in Web of Science - how to use Web of Science's filtering options to futhere refine results and exclude irrelevant articlesEach topic has a demonstration video, narrated by the author Tom Edge.The exercises have been published in HTML5 format so they should be compatible with any modern LMS. The authors have only used these files in Moodle 3.0, so cannot offer support for another LMS.

This assignment was developed for students in NSF 100 Natural Sciences who attend a 1-hour library session. This session is aligned with the Inquiry and Problem Solving and Integrative core competencies in terms of exposing students to "Searching as Strategic Exploration."Strategy and exploration are the keys to effective research. Students often mistake academic research as similar to Googling. This session will stress the importance of mastering the research process in an academic context. It will encourage students to become familiar with the diverse tools and resources provided by the library. This session will give students a quick outline of the research process. It will stress the importance of identifying information needs, resources and strategies. It will also provide tips and tools for managing the search process and results effectively. LaGuardia's Core Competencies and Communication Abilities Main Course Learning Objectives: Students will be introduced to the concept of library academic resources Students will learn the strengths and weaknesses of different forms of information

This introductory unit discusses some of the underlying concepts of health, culture, and how health informatics applications can be used to study culture.

New Edition! The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.