Strategies in Biomedical Data Science

Conclusion

Congratulations on reaching the end of Strategies in Biomedical Data Science. (And if you’ve skipped ahead and are sneaking a peek at the ending, that’s fine too. You can read this book in whatever order you choose!)

When you finish your first pass through the book, you should have gained a deeper understanding of biomedical data challenges and strategies, tools, and opportunities. I hope you are better prepared to help the organization you work for and ultimately the individual patients who receive medical care and benefit from medical research. Certainly, this book is not exhaustive in its scope. Your reading may well have pointed you to other topics, applications, and resources. We wish you all the luck in your continued education and development.

Strategies in Biomedical Data Science has set out to survey some very rapidly changing fields, namely data-intensive research analytics, research data management, genomics-genetics, and high-performance computing. There is every reason to believe that these fields will continue to change rapidly. So this book’s specific technical recommendations probably will not have a very long shelf life. For this I apologize, but the alternative approach, given the rapid pace of change, was simply to leave out these specifics entirely. The broader concepts and strategies presented in this book should have longer-lasting utility. And it is my sincere hope that these concepts and strategies offer more durable tools for meeting ever-changing ...