Home
  • About
  • Archive
  • Contact
  • Subscribe
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
Three New Centers
The National Institutes of Health Roadmap for Medical Research has recently completed the first stage of an ambitious program to expand the computational infrastructure and software tools needed to...
Jan, 01, 2006
When Does Computational Validation Trump Biological Validation?
Many a successful investigator working at the interface between molecular biology, genetics and computation will recognize the imperative to obtain biological validation for computational...
Jul, 01, 2008
A Multi-scale Model of Drug Delivery Through the Skin
Medicinal patches applied to the skin are an attractive route for drug delivery since they can release medicine slowly into the bloodstream and avoid being metabolized by the digestive system. Yet...
Oct, 01, 2009
Error! – What Biomedical Computing Can Learn From Its Mistakes

How errors in data, software, and methodology can teach us how to do better

In 2006, a paper in Nature Medicine suggested a novel and potentially revolutionary method for predicting patient responses to cancer therapies using gene signatures. The finding piqued the interest...
publication, reproducible research, statistics, validation
Sep, 01, 2011
“Sloppy” Systems Biology

Many systems models are strikingly vulnerable to even small changes in the variables

Systems biologists seek to model many complex biological interactions all at once. Typically, they input tens or even hundreds of variables to produce predic- tions about a system—for example,...
Jan, 01, 2008
Modeling Cancer Biology: Reaching beyond human intuition and linear thinking

How mathematical models are transforming the fight against cancer

The most common test for prostate cancer (known as PSA screening) misses aggressively growing prostate tumors—the type typically seen in young patients. It’s a fact that was accepted by...
Apr, 01, 2007
De Novo Protein Design: Designing Novel Proteins that Interact

Working in silico, researchers hone in on candidate proteins worthy of laboratory work

By stringing together amino acids in a prescribed sequence that then folds into a defined structure, nature designs proteins to perform specific functions. Nowadays, computational researchers are...
protein design
Sep, 01, 2011
Computing Gene Interactions: Functional and Statistical Approaches Converge

Epistasis explored

When people work together, some individuals may hinder team performance—essentially masking the abilities of other members—while others may boost the group’s performance beyond the...
epistasis
Sep, 01, 2011
Point/Counterpoint: Should there be a separate funding mechanism for the development and maintenance of software and infrastructure?
  POINT/   NO:  Grant applications for the development and maintenance of software and infrastructure should compete with basic research applications. Biomedicine has a strong...
Jul, 01, 2009
  • ‹‹
  • 3 of 35
  • ››

SHARE THIS

  • Tweet
  • Email

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