Abu Dhabi, UAE – Jun 24 – Insilico Medicine(“Insilico”), a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, and United Arab Emirates University (“UAEU”), a leading public university and premier academic institution in the UAE and the Middle East, have signed a Memorandum of Understanding (MoU) to advance the development of local scientific talents and drive research collaborations within the nation’s rapidly growing biotechnology sector. 

Predicting cognitive abilities from brain imaging has long been a central goal in cognitive neuroscience. Narun Pat and colleagues integrated multiple MRI modalities through a technique called stacking. Using brain imaging at age 45, the model predicted childhood cognitive scores (ages 7, 9, and 11) with a .52 Pearson’s correlation—indicating a substantial degree of predictive accuracy. 

A new study has introduced a machine learning-based approach to improve the reliability of Global Navigation Satellite System (GNSS) ambiguity resolution, a critical step for achieving high-precision positioning.

Adipose triacylglycerol lipase (ATGL) is a dynamic lipid droplet-associated protein involved in cellular lipolysis, which is conserved from bacteria to humans. Recent methods that measure the enzymatic activity of ATGL in vitro are established using lipid emulsions. However, the lipid emulsion platforms contain various membranous structures which reduce the accuracy of enzymatic activity determination. Therefore, a new platform and corresponding method are required for accurate measurement of ATGL enzymatic activity that represents cellular lipid and energy homeostasis. Adiposomes are artificial lipid nanostructures mimicking lipid droplets. Employing adiposome as a platform, the authors have developed an assay to measure the enzymatic activity of ATGL in vitro. Here, a detailed protocol is described to explain how to measure the activity of ATGL using adiposomes. This method successfully proves the concept of lipid droplet-mimetic lipase activity determining platform and provides a tool to identify the active sites of lipases.

Worker ants increase their reproductive success by caring for their siblings instead of producing their own offspring. An international research team has now uncovered the genetic basis of ant evolution.

Cutting-edge technologies addressing climate, healthcare, and digital authenticity are spotlighted in the report co-published by the World Economic Forum and Frontiers. Pooling the expertise of hundreds of leading scientists from around the world, the report identifies early-stage technologies with the potential to become fully developed and adopted within the next five years.