A selection of our favorite talks that are currently available to watch:
- Michelle Whirl-Carrillo (Associate Director of PharmGKB, Stanford University) discusses the benefits and barriers of implementing pharmacogenetics into a patient's electronic medical record and the hope that big data could enable us to overcome some of these barriers.
- Philip Bourne (NIH) raises current issues in data science (including a need for reproducibility, data citation and reward) and discusses some of the options that could begin to address these issues.
- Vinod Khosla (Khosla Ventures) controversially argues for taking humans out of the decision-making process to improve healthcare, and that medical monitoring devices and machine learning will lead us to new discoveries and guide new research opportunities.
- John Ioannidis (Stanford University) argues that we have been most successful in finding genetic associations when consortia groups have pooled cohorts together, and that we need more big data of big data.
- Teri Manolio (NHGRI) uses the example of HLA-B*1502 as a strong predictor for carbamazepine-induced Steven-Johnson-Syndrome to argue for the clinical implementation of genomic information, discusses assessing clinically-relevant variants and raises the next big questions in genomic medicine implementation.
- Dan Roden (Vanderbilt University) reiterates the need for large numbers of patients in order to extract rare phenotypes or genetic variants, and discusses using Vanderbilt's electronic medical records to discover novel genetic associations.
