Archived Intelligence
Researchers have developed a new base-editing tool called FATE that targets the fundamental mechanism behind rapid ageing in progeria cells. By acting like a precise genetic white-out pen, it stops toxic proteins from accumulating without disrupting the rest of the cell.
Researchers have finally measured the elusive 'dark state' relaxation time of electrons in hexagonal boron nitride. Clocking in at 24 nanoseconds, this measurement allows physicists to perfectly synchronise their lasers, vastly improving the sensitivity of quantum sensors.
A new preprint study evaluates how machine learning algorithms can forecast the vulnerability of concrete structural joints during earthquakes. By comparing various AI models, researchers aim to automate and improve building safety assessments.
Researchers have developed a highly specific base-editing technique designed to treat Hutchinson-Gilford progeria syndrome regardless of the patient's specific mutation. Early tests on lab-grown human tissues suggest the method successfully clears toxic proteins and repairs cellular damage.
Researchers have developed a deep learning model optimised by evolutionary algorithms to accurately forecast crop outputs before harvest. By feeding sensor data from the fields into this neural network, scientists can estimate harvests with unprecedented precision.
Researchers benchmarked modern AI foundation models against classical machine learning for analysing gut bacteria. Early-stage findings suggest that older, well-tuned methods remain incredibly difficult to beat.
Direct testing for excessive alcohol use in liver disease is highly accurate but too expensive for routine care. Researchers have developed MAPI, a scalable indirect biomarker panel using standard blood tests to predict liver risks. This approach could make widespread screening highly accessible.
Researchers evaluated a traditional ayurvedic formulation using molecular docking, lab tests, and clinical trials. The data measured accelerated patient recovery and reduced viral load, suggesting computationally screened plant-based medicines could serve as effective complementary therapies in future outbreaks.
Researchers conducted a systematic review to organise the messy terminology used in trail conservation. By standardising how we talk about trail damage and repair, this study provides a practical flowchart to help managers balance human recreation with ecological health.
Researchers tested a traditional herbal formulation using computer models, lab cells, and human trials. The data suggests these plant compounds can block viral replication and calm harmful inflammation, speeding up recovery when used alongside standard treatments.