Previously, research on controlling gene networks has been carried out based on a single stimulus-response of cells. More recently, studies have been proposed to precisely analyze complex gene networks to identify control ...
Georgia Tech researchers have developed biosensors with advanced sleuthing skills and the technology may revolutionize cancer detection and monitoring.
You can probably think of a time when you've used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play in solving complex problems ...
Researchers at the University of Twente have developed a new method that allows them to precisely control chemical reactions using metal ions. This marks an important step toward computers that function like the human brain. ...
Researchers have transformed guide RNAs, which direct enzymes, into a smart RNA capable of controlling networks in response to various signals. A research team consisting of Professor Jongmin Kim and Ph.D. candidates Hansol ...
Researchers from the Institute for Molecules and Materials at Radboud University, Netherlands, have demonstrated that a complex self-organizing chemical reaction network can perform various computational tasks, such as nonlinear ...
Over the past 20 years, synthetic biologists have been trying to build biological circuits in living cells to enact specific behaviors such as Boolean logic gates, signal filters, oscillators, state machines, sensors, and ...
Over the last 20 years, researchers in biology and medicine have created Boolean network models to simulate complex systems and find solutions, including new treatments for colorectal cancer.
Bioengineers can tailor the genomes of cells to create "cellular therapies" that fight disease, but they have found it difficult to design specialized activating proteins called transcription factors that can throw the switch ...
Neuromorphic computers do not calculate using zeros and ones. They instead use physical phenomena to detect patterns in large data streams at blazing fast speed and in an extremely energy-efficient manner.
