Over The Horizon
Category: robotics/AI – Page 67
A mobile robot scientist capable of carrying out experiments by itself
We live in a time when robots can clean our homes, drive our vehicles, deactivate bombs, offer prosthetic limbs, help healthcare workers, read the news, entertain, teach, and many more. And now, there is a robot scientist that can work on behalf of humans 24 hours a day, seven days a week.
Researchers at the University of Liverpool have built an intelligent “robot scientist” capable of moving around a laboratory and carrying out scientific experiments by itself. The first of its kind machine with humanoid dimensions are designed to work in a standard laboratory, using instruments much as a human researcher does. It can also make its own decisions about which chemistry experiments to perform next.
The robot scientist is 1.75-meter tall, weighs around 400 kg, and can roam around the laboratory, performing a wide range of different tasks. Unlike a human being, the robot has infinite patience, can think in 10 dimensions, and works for 21.5 hours each day, pausing only to recharge its battery for two hours. This will allow scientists to automate time-consuming and tedious research they wouldn’t otherwise tackle.
The hidden meanings of texts and tweets
A ‘spherical’ AI model finds hidden themes in large collections of headlines and other short texts.
From tweets and chat messages to headlines and status updates, short bursts of text are everywhere. These snippets may be brief, but they are packed with the potential to reveal anything from emerging trends to business decisions or circulating misinformation.
While AI is becoming increasingly adept at extracting meaning from long-form text, it still struggles with these bite-sized ones.
AI may help researchers with medical chart review, Stanford Medicine study finds
Stanford Medicine researchers trained a large language model to read medical charts, looking for signs that kids with ADHD received the right follow-up care when using new medications.
AI-Validated Brain Targeted mRNA Lipid Nanoparticles with Neuronal TropismClick to copy article linkArticle link copied!
Targeting therapeutic nanoparticles to the brain poses a challenge due to the restrictive nature of the blood–brain barrier (BBB). Here we report the development of mRNA-loaded lipid nanoparticles (LNPs) functionalized with BBB-interacting small molecules, thereby enhancing brain delivery and gene expression. Screening brain-targeted mRNA-LNPs in central nervous system (CNS) in vitro models and through intravenous administration in mice demonstrated that acetylcholine-conjugated LNPs achieved superior brain tropism and gene expression, outperforming LNP modifications with nicotine, glucose, memantine, cocaine, tryptophan, and other small molecules. An artificial intelligence (AI)-based model designed to predict the BBB permeability of small-molecule ligands showed strong alignment with our experimental results, providing in vivo validation of its predictive capacity. Cell-specific biodistribution analysis in Cre-reporter Ai9 mice showed that acetylcholine-functionalized LNPs preferentially transfected neurons and astrocytes following either intravenous or intracerebral administration. Mechanistic studies suggest that acetylcholine-LNP uptake is mediated by the functional engagement of acetylcholine receptors (AchRs) followed by endocytosis, which synergistically enhances intracellular mRNA delivery. Moreover, acetylcholine-LNPs successfully crossed a human BBB-on-a-chip model, enabling transgene expression in human iPSC-derived neurons. Their effective penetration and transfection in human brain organoids further support their potential activity in human-based systems. These findings establish a predictive and modular framework for engineering CNS-targeted LNPs, advancing precision gene delivery for brain disorders.