A deeper dive into Viziflu, a visualization tool developed by IQT Labs that displays multiple predictions about the timing of national “Peak Week,” the week with the highest predicted number of flu cases, in the United States.
B.Next and Lab41 set out to answer the following question: Given a DNA sequence, can we use machine learning to determine if it was purposefully modified?
Viziflu is a visualization tool that displays multiple predictions about the timing of “Peak Week,” the week with the highest predicted number of flu cases.
A look into DNA sequences as part of Lab41's genomics research.
In Part 1 of the SIG-DB blog series, we introduced a concept for comparing an encrypted genomic sequence against a privately held genomic database while maintaining the security and privacy of the data. Since then, we have completed the tuning and testing of the SIG-DB algorithm using Paillier Homomorphic Encryption, which is described in this post.
Lab41 details their collaboration with B.Next on PySEAL, an open source Python port of the Microsoft homomorphic encryption SEAL library.
B.Next completed a project with Plotly to enhance its web-based interface to enable the creation of interactive cross-filtering visualizations with multivariate datasets for non-coders.
B.Next explores how to map risks associated with vector-borne diseases such as the Zika virus using remotely sensed data.
B.Next explores the development of a new Privacy Preserving Query method for microbial genomic studies.
Cyber Reboot and B.Next explain how scientists encoded malware into DNA molecules in order to hack a computer.
A look into how seasonal population movement can impact disease dynamics.
The genetic information of the causal pathogen can provide important information on how to respond to the outbreak.