PREDICT CLINICAL TRIAL FAILURE WITH CLINICALTRIALRANK.COM

Network-based prediction of drug combinations

Network-based prediction of drug combinations

Feixiong Cheng1,2,3,4,5, István A. Kovács1,2 & Albert-László Barabási1,2,6,7 Drug combinations, offering increased therapeutic efficacy and reduced toxicity, play an important role in treating multiple complex diseases. Yet, our ability to identify and...
Smart Medicine: AI plays an increasingly bigger role in health care

Smart Medicine: AI plays an increasingly bigger role in health care

Boston Business Journal highlights local companies advancing healthcare using AI Artificial intelligence is changing healthcare from how we diagnose diseases, model drug development, and predict response to therapies. The Boston Business Journal names Scipher Medicine...
Scipher Medicine Reports Positive Results for Prism

Scipher Medicine Reports Positive Results for Prism

Scipher Medicine Reports Positive Results for Prism, a Drug Response Test That Can Save the Health Insurance Industry $20 Billion by Avoiding Paying for Ineffective Therapies The blood test ensures patients with autoimmune diseases are prescribed the most effective...
Tissue Specificity of Human Disease Module

Tissue Specificity of Human Disease Module

Maksim Kitsak1,2, Amitabh Sharma1,2,3, Jörg Menche1,2,4,5, Emre Guney1,2,6, Susan Dina Ghiassian1,2,7, Joseph Loscalzo8 & Albert-László Barabási1,2,4,7,8,9 Genes carrying mutations associated with genetic diseases are present in all human cells; yet, clinical...
Network-based in silico drug efficacy screening

Network-based in silico drug efficacy screening

Published in Nature Communications Authors: Emre Guney, Jörg Menche, Marc Vidal, & Albert-László Barábasi NATURE COMMUNICATIONS | 7:10331 | DOI: 10.1038/ncomms10331 |www.nature.com/naturecommunications The increasing cost of drug...
A Proteome-Scale Map of the Human Interactome Network

A Proteome-Scale Map of the Human Interactome Network

Thomas Rolland, Murat Tasxan, Benoit Charloteaux, Samuel J. Pevzner, Quan Zhong, Nidhi Sahni, Song Yi, Irma Lemmens, Celia Fontanillo, Roberto Mosca, Atanas Kamburov, Susan D. Ghiassian, Xinping Yang, Lila Ghamsari, Dawit Balcha, Bridget E. Begg, Pascal Braun, Marc...