Among the numerous new tactics that aim to spotlight the so-called cancer driver genes, which produce the most accurate results? To help solve this puzzle, a team of Johns Hopkins computational scientists and cancer experts have devised their own bioinformatics software to evaluate how well the current strategies identify cancer-promoting mutations and distinguish them from benign mutations in cancer cells.
Recent news from The Johns Hopkins University
This section contains regularly updated highlights of the news from around The Johns Hopkins University. Links to the complete news reports from the nine schools, the Applied Physics Laboratory and other centers and institutes are to the left, as are links to help news media contact the Johns Hopkins communications offices.
Using high-tech human heart models and mouse experiments, scientists at Johns Hopkins and Germany’s University of Bonn have shown that beams of light could replace electric shocks in patients reeling from a deadly heart rhythm disorder. The findings, published online Sept. 12 in the October 2016 edition of The Journal of Clinical Investigation, could pave the way for a new type of implantable defibrillators.
Johns Hopkins biomedical engineers have developed a free, browser-based online tool that could speed up the creation of new drugs to treat or prevent Ebola virus infections. The software, called MuPIT Ebola Edition, enables a researcher to visualize Ebola gene mutations in the context of three-dimensional protein structures. It also offers views of antibody binding sites called epitopes that are situated on protein surfaces. These sites may give researchers new targets for preventive vaccines and serums to treat those who are already infected.
Computational medicine, a fast-growing method of using computer models and sophisticated software to figure out how disease develops–and how to thwart it–has begun to leap off the drawing board and land in the hands of doctors who treat patients for heart ailments, cancer and other illnesses. Using digital tools, researchers have begun to use experimental and clinical data to build models that can unravel complex medical mysteries. These are some of the conclusions of a new review of the field, written by four Johns Hopkins professors affiliated with the university’s Institute for Computational Medicine.
Srivdevi Sarma, a Johns Hopkins biomedical engineer, has devised new seizure detection software that, in early testing, significantly cuts the number of unneeded pulses of current that epilepsy patients would receive from new brain implants devices.
Biomedical engineer Feilim Mac Gabhann of The Johns Hopkins University has won a 2012 Sloan Research Fellowship to support his combined experimental-computational approach to developing new ways to treat major human diseases, including cancer, peripheral artery disease and HIV.