Opportunities and Obstacles for Deep Learning in Biology and Medicine

Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood.

Deep learning techniques may be particularly well suited to solve problems of these fields. We examine applications of deep learning to a variety of biomedical problems, patient classification, fundamental biological processes, and treatment of patients and discuss whether deep learning will be able to transform these tasks or if the biomedical sphere poses unique challenges.

Download the Published Research Paper

First Name

Last Name

Email

Title

Company Name

Company Size

State

checkbox
Success!
Here is your file to download.
Oops! Something went wrong while submitting the form.

Opportunities and Obstacles for Deep Learning in Biology and Medicine

Interested in reading more published research authored by or featuring ClosedLoop? Check out the following resources:

Back to all resources

See What ClosedLoop Can Do For You.

See How ClosedLoop Can Improve Patient Outcomes & Lower the Total Cost of Care

Get in touch today to see the ClosedLoop platform in action.

Talk To An Expert