Assessing the feasibility and external validity of natural language processing-extracted data for advanced lung cancer patients.

Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.

Framing a Biobanking Response to Myrtle Rust in Western Australia.

Myrtle rust is a plant disease caused through infection by the fungus and was first detected in Australia in 2010. The disease has spread through New South Wales, Victoria, Queensland, the Northern Territory, and Tasmania. In this short timeframe, myrtle rust has had a devastating impact on many native species in the family Myrtaceae, including several rainforest species that are now at risk of extinction.

A neurotransmitter atlas of males and hermaphrodites.

Mapping neurotransmitter identities to neurons is key to understanding information flow in a nervous system. It also provides valuable entry points for studying the development and plasticity of neuronal identity features. In the nervous system, neurotransmitter identities have been largely assigned by expression pattern analysis of neurotransmitter pathway genes that encode neurotransmitter biosynthetic enzymes or transporters.

Comparative analysis of new mScarlet-based red fluorescent tags in Caenorhabditis elegans.

One problem that has hampered the use of red fluorescent proteins in the fast-developing nematode Caenorhabditis elegans has been the substantial time delay in maturation of several generations of red fluorophores. The recently described mScarlet-I3 protein has properties that may overcome this limitation. We compare here the brightness and onset of expression of CRISPR/Cas9 genome-engineered mScarlet, mScarlet3, mScarlet-I3, and GFP reporter knock-ins.