30 papers in 60 minutes by Russ Altman, MD, PhD, all about Translational Bioinformatics
Again, Dr. Altman, from Stanford University, presented the annual “Year in Review” to the AMIA Joint Summits on Translational Science held in San Diego, March 21-24, 2016. Click this link to his see his slides plus Endnote XML files for final papers: https://rbaltman.wordpress.com/2016/03/22/my-amia-tbi-year-in-review-2016/
As Dr. Altman describes himself, he is an “informatics and data science kind of guy.” With his expertise and help of reviewers, these 30 papers are a snapshot over the past 14 months of the scientific trends and publications in translational bioinformatics (TBI) plus some predictions for the coming year.
In case you need to know, “TBI” refers to “informatics methods that link biological entities (genes, proteins, small molecules) to clinical entities (diseases, symptoms, drugs) – or vice versa.” The session addressed several categories, many of interest to our researchers: methods for genetic discovery, mechanisms of disease, network biology, drugs, drugs & social media, in the clinic, and odds & ends.
For general appeal you will find papers about advice on journal clubs [Link], about the controversial editorials in NEJM on “research parasitism” [Link] and an interesting paper about a trend in age distribution and PI’s [Link]. FYI: Deep learning is “a new area of Machine Learning research introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence.” [Link]
Many in general medicine no doubt align with the need for more public discussion and education about the benefits and responsibilities of data sharing, particularly for clinical data.
* Follow Dr. Altman on Twitter @rbaltman
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Post submitted by Martha Adams, MD, MA