A new algorithm to solve memory problems in large-scale human brain simulations

 Researchers have come closer towards advancing technology to create computer simulations of the brain networks using exascale-class supercomputers. Their findings are published in journal  Frontiers in Neuroinformatics.Credit: Forschungszentrum JülichThe human brain is a complex network composed of approximately 100 billion neurons. With current computing power, it is impossible to simulate 100 percent working brain. Currently, researchers … Continue reading A new algorithm to solve memory problems in large-scale human brain simulations

New flu simulation map using health and social media data

Researchers at the University of Chicago have created computer simulations to predict spread of flu across the United States utilizing datasets of demographics, healthcare visits and geographic movements of 150 million people over nine years. The study is published in the journal eLife.Simulation map of flu spread. Credit: Andrey Rzhetsky, UChicagoResearchers utilized deidentified patient data from … Continue reading New flu simulation map using health and social media data

Computer simulations help understand lung cancer drug resistance

Scientists from the Universities of Bristol and Parma, Italy, have used computer simulations to understand drug resistance to osimertinib. Findings of this study are published in journal Chemical Science.Osimertinib works by binding to epidermal growth factor receptor (EGFR), which is over expressed in many tumors. EGFR is involved in a pathway that signals for cell … Continue reading Computer simulations help understand lung cancer drug resistance

Finding new uses for old medication using computer program DrugPredict

Researchers at Case Western Reserve University School of Medicine have developed a computer program called DrugPredict to discover new indications for old drugs. This program matches existing data about FDA-approved drugs to diseases, and predicts potential drug efficacy.In a recent study published in Oncogene, the researchers successfully translated DrugPredict results into the laboratory, and showed … Continue reading Finding new uses for old medication using computer program DrugPredict

Computational model uncovers progression of HIV infection in brain

University of Alberta research team successfully uncovered the progression of HIV infection in the brain using a new mathematical model. The team is utilizing this model to develop a nasal spray to administer  antiretroviral medication effectively. Their research is published in Journal of Neurovirology.Research was done by PhD student Weston Roda and Prof. Michael Li. … Continue reading Computational model uncovers progression of HIV infection in brain

Computational model to track flu using Twitter data

An international team led by Alessandro Vespignani from Northeastern University has developed a computational model to predict the spread of the flu in real time. This unique model uses posts on Twitter in combination with key parameters of each season's epidemic, including the incubation period of the disease, the immunization rate, how many people an … Continue reading Computational model to track flu using Twitter data

Dynamic undocking, a new computational method for efficient drug research

Researchers of the University of Barcelona have developed a more efficient computational method to identify new drugs. The study, published in the scientific journal Nature Chemistry, proposes a new way of facing the discovery of molecules with biological activity.Researchers devised dynamic undocking (DUck), a fast computational method to calculate the work necessary to reach a … Continue reading Dynamic undocking, a new computational method for efficient drug research

Computer models to analyze Huntington disease pathology

Rice University scientists have uncovered new details about how a repeating nucleotide sequence in the gene for a mutant protein may trigger Huntington's and other neurological diseases. Researchers used computer models to analyze proteins suspected of misfolding and forming plaques in the brains of patients with neurological diseases. Their simulations confirmed experimental results by other … Continue reading Computer models to analyze Huntington disease pathology

New tool to discover bio-markers for aging using In-silico Pathway Activation Network Decomposition Analysis (iPANDA)

Today the Biogerontology Research Foundation announced the international collaboration on signaling pathway perturbation-based transcriptomic biomarkers of aging. On November 16th scientists at the Biogerontology Research Foundation alongside collaborators from Insilico Medicine, Inc, the Johns Hopkins University, Albert Einstein College of Medicine, Boston University, Novartis, Nestle and BioTime Inc. announced the publication of their proof of … Continue reading New tool to discover bio-markers for aging using In-silico Pathway Activation Network Decomposition Analysis (iPANDA)

Virtual clinical trials use mathematical modelling to predict melanoma response

Researchers from Moffitt Cancer Center's Integrated Mathematical Oncology (IMO) Department are overcoming the limitations of common preclinical experiments and clinical trials by studying cancer through mathematical modeling. A study led by Alexander "Sandy" Anderson, Ph.D., chair of IMO, and Eunjung Kim, Ph.D., an applied research scientist, shows how mathematical modeling can accurately predict patient responses … Continue reading Virtual clinical trials use mathematical modelling to predict melanoma response