Home
  • About
  • Archive
  • Contact
  • Subscribe
Smart Embedded Devices: Here They Come

Machine learning for an artificial pancreas and deep brain stimulation

Embedded medical devices that both detect symptoms and treat them have existed for decades. Take, for example, the heart pacemaker. But a new generation of implants could soon emerge to do something...
diabetes, epilepsy, machine learning, pancreas, Parkinsons
Oct, 19, 2012
Dogs, Doses, and Devices: The FDA's Ambitious Plans for Computational Modeling

Computational modeling can help fill gaps in how we develop and review new drugs and devices

What role does computational modeling play at the United States Food and Drug Administration (FDA)?  If you ask Paul Watkins, MD, director of the Hamner—University of North Carolina...
devices, drug discovery, FDA, modeling
Sep, 01, 2011
From SNPs to Prescriptions: Can Genes Predict Drug Response?

Decades of steady progress in pharmacogenetics have unearthed hundreds of associations between genes and drug response. But the field has to solve some theoretical and practical issues before it can deliver on the promise of personalized drug therapy.

As algorithms go, it’s deceptively simple. Just add together eight weighted pieces of patient information—age, height, weight, race, data about two genes, and a pair of clinical...
Jul, 01, 2009
The Epigenome: A New View Into the Book of Life

There is growing recognition that epigenetics may be just as important as genetics in human health and disease.

In the early 19th century, Jean-Baptiste Lamarck explained evolution as the inheritance of acquired traits; he believed that changes due to behaviors and exposures in one generation could be passed...
Jun, 01, 2010

SHARE THIS

  • Tweet
  • Email

RELATED ARTICLES

The Top Ten Advances of the Last Decade & The Top Ten Challenges of the Next Decade

A recognition of biocomputing's successes...

06/01/05 by Eric Jakobsson, PhD

On Your Mark, Get Set, Build Infrastructure: The NCBC Launch

The first four National Centers for Biomedical...

06/01/05 by Katharine Miller with an Introduction by Eric Jakobsson, PhD

Spaced out Neurons

A grant to develop software tools to analyze...

06/01/05 by Katharine Miller

More Than Fate: Computation Addresses Hot Topics in Stem Cell Research

Using computational models, researchers are...

04/01/10 by Katharine Miller

POPULAR ARTICLES

Big Data Analytics In Biomedical Research

Can the complexities of biology be boiled down to Amazon.com-style recommendations?  The examples here suggest possible pathways to an intelligent healthcare system with big data at its core.

01/02/12 by Katharine Miller

AlloPathFinder User Profile: Jung-Chi Liao

Columbia’s Jung-Chi Liao seeks pathways within proteins using AlloPathFinder, a Simbios tool he co-developed while at Stanford.

10/01/09 by Kristin Sainani, PhD, and Katharine Miller

More Than Fate: Computation Addresses Hot Topics in Stem Cell Research

Using computational models, researchers are gaining traction toward understanding what makes a stem cell a stem cell; how gene expression drives stem cell differentiation; why studying stem cell heterogeneity is important; and, ultimately, how stem cells control their fate.

04/01/10 by Katharine Miller

Popular Tags

DATA MINING  visualization

genomics  SIMULATION neuroscience

biomechanics Systems Biology

DRUG DISCOVERY Cancer DNA

Molecular Dynamics bioinformatics

SUBSCRIBE TO

RSS Feed
Subscribe to Print Edition
simbios logo

Supported by the National
Institutes of Health through
the NIH Roadmap for
Medical Research Grant.

Stanford University
James H. Clark Center S231
318 Campus Drive, MC: 5448
Stanford, CA 94305-5444

  • About
  • Archive
  • Contact
  • Subscribe