Model of Tumor Heterogeneity Can Help Predict How Disease Responds to Treatment | GenomeWeb

NEW YORK (GenomeWeb Daily News) – Based on their characterization of heterogeneity in breast cancer tumors, a team of researchers developed a stochastic computational model to predict how tumors develop and evolve.

Get the full story

This story is free
for registered users

Registering provides access to this and other free content.

Register now.

Already have an account?
Login Now.

Jeff Huber, former Google X senior vice president, joins Grail as its CEO.

In Science this week: Neanderthal-derived DNA linked to modern ailments, and more.

Japan needs to catch up on its gene-editing research efforts, the Japan News writes.

Hundreds of people have signed an online petition calling for zero tolerance to sexual harassment in the sciences.

Mar
03
Sponsored by
Agilent Technologies

This webinar will discuss the use of a hybrid capture-based FFPE DNA sequencing methodology with the potential for advancing precision oncology studies.