Tech & Engineering
Updates every hour. Last Updated: 4-Jan-2026 11:11 ET (4-Jan-2026 16:11 GMT/UTC)
UVA’s low-power, high-performance computer power player Mircea Stan earns National Academy of Inventors fellowship
University of Virginia School of Engineering and Applied ScienceGrant and Award Announcement
UVA’s Jundong Li wins ICDM’S 2025 Tao Li Award for data mining, machine learning
University of Virginia School of Engineering and Applied ScienceGrant and Award Announcement
CHANGE-seq-BE finds off-target changes in the genome from base editors
St. Jude Children's Research HospitalPeer-Reviewed Publication
Find how Circularization for High-throughput Analysis of Nuclease Genome-wide Effects by Sequencing Base Editors (CHANGE-seq-BE) improves finding off-targets.
- Journal
- Nature Biotechnology
Researchers want to find out why quick clay is so unstable
Norwegian University of Science and TechnologyPeer-Reviewed Publication
- Journal
- Journal of Colloid and Interface Science
Superradiant spins show teamwork at the quantum scale
Okinawa Institute of Science and Technology (OIST) Graduate UniversityPeer-Reviewed Publication
- Journal
- Nature Physics
- Funder
- Austrian Science Fund, MEXT Quantum Leap Flagship Program
Mathematicians tame cellular “noise” to control life at the single-cell level
Institute for Basic SciencePeer-Reviewed Publication
Why does cancer sometimes recur after chemotherapy? Why do some bacteria survive antibiotic treatment? In many cases, the answer appears to lie not in genetic differences, but in biological noise — random fluctuations in molecular activity that occur even among genetically identical cells.
Biological systems are inherently noisy, as molecules inside living cells are produced, degraded, and interact through fundamentally random processes. Understanding how biological systems cope with such fluctuations — and how they might be controlled — has been a long-standing challenge in systems and synthetic biology.
Although modern biology can regulate the average behavior of a cell population, controlling the unpredictable fluctuations of individual cells has remained a major challenge. These rare “outlier” cells, driven by stochastic variation, can behave differently from the majority and influence system-level outcomes.
This longstanding problem has been answered by a joint research team led by Professor KIM Jae Kyoung (KAIST, IBS Biomedical Mathematics Group), KIM Jinsu (POSTECH), and Professor CHO Byung-Kwan (KAIST), which has developed a novel mathematical framework called the “Noise Controller” (NC). This achievement establishes a level of single-cell precision control previously thought impossible, and it is expected to provide a key breakthrough for longstanding challenges in cancer therapy and synthetic biology.- Journal
- Nature Communications
- Funder
- Institute for Basic Science