[HTML][HTML] Customizing cellular signal processing by synthetic multi-level regulatory circuits
As synthetic biology permeates society, the signal processing circuits in engineered living
systems must be customized to meet practical demands. Towards this mission, novel …
systems must be customized to meet practical demands. Towards this mission, novel …
[HTML][HTML] Machine learning in structural design: an opinionated review
C Málaga-Chuquitaype - Frontiers in Built Environment, 2022 - frontiersin.org
The prominence gained by Artificial Intelligence (AI) over all aspects of human activity today
cannot be overstated. This technology is no newcomer to structural engineering, with logic …
cannot be overstated. This technology is no newcomer to structural engineering, with logic …
Machine learning-assisted optical nano-sensor arrays in microorganism analysis
Microbial infection can cause problems for public health, and to realize efficient
microorganism detection is of great importance. However, the simultaneous identification of …
microorganism detection is of great importance. However, the simultaneous identification of …
Living electronics: A catalogue of engineered living electronic components
JT Atkinson, MS Chavez, CM Niman… - Microbial …, 2023 - Wiley Online Library
Biology leverages a range of electrical phenomena to extract and store energy, control
molecular reactions and enable multicellular communication. Microbes, in particular, have …
molecular reactions and enable multicellular communication. Microbes, in particular, have …
Living Synthelectronics: A New Era for Bioelectronics Powered by Synthetic Biology
J Sun, R Yang, Q Li, R Zhu, Y Jiang, L Zang… - Advanced …, 2024 - Wiley Online Library
Bioelectronics, which converges biology and electronics, has attracted great attention due to
their vital applications in human–machine interfaces. While traditional bioelectronic devices …
their vital applications in human–machine interfaces. While traditional bioelectronic devices …
Machine learning and deep learning in synthetic biology: Key architectures, applications, and challenges
MK Goshisht - ACS omega, 2024 - ACS Publications
Machine learning (ML), particularly deep learning (DL), has made rapid and substantial
progress in synthetic biology in recent years. Biotechnological applications of biosystems …
progress in synthetic biology in recent years. Biotechnological applications of biosystems …
Realizing molecular machine learning through communications for biological ai
S Balasubramaniam, S Somathilaka… - IEEE …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) and Machine Learning (ML) are weaving their way into the fabric of
society, where they are playing a crucial role in numerous facets of our lives. As we witness …
society, where they are playing a crucial role in numerous facets of our lives. As we witness …
Construction of DNA-based molecular circuits using normally open and normally closed switches driven by lambda exonuclease
Building synthetic molecular circuits is an important way to realize ion detection, information
processing, and molecular computing. However, it is still challenging to implement the NOT …
processing, and molecular computing. However, it is still challenging to implement the NOT …
Deep learning concepts and applications for synthetic biology
Synthetic biology has a natural synergy with deep learning. It can be used to generate large
data sets to train models, for example by using DNA synthesis, and deep learning models …
data sets to train models, for example by using DNA synthesis, and deep learning models …
Distributed computing with engineered bacteria and its application in solving chemically generated 2× 2 maze problems
K Sarkar, S Chakraborty, D Bonnerjee… - ACS Synthetic …, 2021 - ACS Publications
This work presented an application of genetic distributed computing, where an abstract
computational problem was mapped on a complex truth table and solved using simple …
computational problem was mapped on a complex truth table and solved using simple …