Although great progress has been made in the effectiveness and availability of medicines, there is still more work to do assuring greater access and continuing to advance disease treatments. Recent advances in both the types of treatments that can be developed and the technology to produce, characterize, collect relevant data from, and deliver medicines to patients have accelerated in recent experience. The National Institute for Pharmaceutical Technology and Education assembled representatives from academia, industry, and health authorities to assess progress. This article gives a perspective on recent trends in advanced manufacturing of injectable pharmaceutical products and provides some insight from which pharmaceutical manufacturers may implement valuable improvements based on these technological advances.
This article examines the application of artificial intelligence technologies for training and objectively assessing basic laparoscopic skills using the BÉSTA 2.0 simulation platform. The paper presents the system architecture, computer vision algorithms, stages of neural network training, and performance results. A three-phase study demonstrated high assessment accuracy (up to 95% agreement with expert ratings) and strong reproducibility of outcomes. Key limitations and mitigation strategies are discussed. Automated evaluation of the endosurgical skills enables scalable, instructor-independent feedback, improves training efficiency, and ensures real-time insight into trainee performance. The findings emphasize the potential of incorporating AI into laparoscopic training and, more broadly, into contemporary surgical education.
AbstractCraters on Mars are a window into Mars' past and the time they were emplaced. Because the crust is heated and shocked during impact, craters can demagnetize or magnetize the crust depending on the presence or absence of a dynamo field at the time of impact. This concept has been used to constrain dynamo timing. Here, we investigate magnetic anomalies associated with craters larger than 150 km. We find that most of those craters, independent of age, exhibit demagnetization signatures in the form of a central magnetic low. We demonstrate a statistically significant association between such signatures and craters, and hypothesize that the excavation of strongly magnetic crustal material may be an important contribution to the dominance of demagnetized craters. This finding implies that the simple presence or absence of crater demagnetization signatures is not a reliable indicator for the activity of the Martian dynamo during or after crater formation.
