We need the right data • diagnostics • vaccines before outbreaks become epidemics.
GEMstone 2.0: Detecting Evidence of Genetic Engineering — Project Report
IQT Labs B.Next and Lab41 have explored how applying machine learning (ML) approaches to DNA sequence analysis may provide “triage” tools that enable users to quickly assess the likelihood that the genome of a suspect organism has been engineered.
The Promise of Ubiquitous DNA Sequencing: Sequencers as Sensors
This paper explores how new DNA sequencing technology is poised to transform epidemic detection and management through the broad availability of inexpensive, portable, and increasingly powerful devices.
Interactive Data Visualization for Public Health Applications: An Evaluation of Plotly’s Capabilities
This report outlines the methods and results of a B.Next project with Plotly, a company that creates open source tools for visualization, to further develop their existing web-based interface to create interactive cross-filtering visualizations with multivariate datasets for non-coders.
Tackling the Next Epidemic: Data Technology to the Rescue
Integrating novel and available data technologies into public health practice will improve situational awareness, help shape outbreak interventions more precisely, facilitate faster and more efficient response activities, and save lives.
Tech Corner – A Technology Overview from IQT Portfolio Company Quanterix
To supplement the IQT Quarterly’s focus on technology trends, Tech Corner provides a practitioner’s point of view of a current challenge in the field and insight into an effective response.
The Weakest Link in Diagnostics May Be the Sample Itself
In the past two decades, two trends have given rise to a revolution in the next generation of diagnostic technologies.
Five Major Challenges for Pandemic Prediction and Prevention
Pandemics (diseases that spread globally) are rare events that are often devastating, causing substantial mortality and economic damage. Just like hurricanes or earthquakes, efforts to understand the origins of pandemics and predict their emergence would help reduce their impact and ultimately prevent them.
IQT Lab B.Next and the National Security Implications of 21st Century Life Sciences
B.Next, an IQT Lab, will explore a complex and increasingly urgent problem: how can we rapidly detect and quench epidemics of infectious disease.
In Silico Vaccine Design: Accelerating the Response to BioThreats and Emerging Infectious Disease
Smallpox, polio, measles — control of these lethal diseases is possible because of vaccines.
Early Warning for Infectious Disease Outbreaks: A Q&A with Larry Madoff
An interview with Larry Madoff, Editor of The Program for Monitoring Emerging Diseases (ProMED-mail).
Capabilities and Problems Associated with Detecting Engineered Microorganisms & Deducing Function
This paper reports on a September 15, 2016 Roundtable Discussion convened by B.Next, an IQT Lab.
Portable Sequencing for Infectious Disease Detection, Diagnosis, Discrimination, & Discovery
This paper reports on a February 28, 2017 Roundtable Discussion convened by B.Next, an IQT Lab.
The Biorevolution is Enabling New Opportunities
We are living through a period of what may justly be called a revolution in our understanding of living organisms and how they operate.
Biothreats Need to be Recognized as a Top National Security Concern
Large-scale, lethal epidemics are becoming more frequent, affecting more people, and spreading faster and farther than has been the case historically.
Outbreaks, Attacks and Accidents: Combatting Biological Threats
Testimony to the U.S. House of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigation.
Building an effective defense against biological threats: the Technology Advantage
The United States faces significant and growing national security threats from increasingly frequent and disruptive natural epidemics of infectious disease.
On our Radar: Defeating Infectious Disease
Why do outbreaks of infectious disease occur? Can we predict them? How do they spread? How can we respond to outbreaks more effectively? What is the role of technology in this response?