Publications by authors named "T M Booth"
Background: Streptomyces is a highly diverse genus known for the production of secondary or specialized metabolites with a wide range of applications in the medical and agricultural industries. Several thousand complete or nearly complete Streptomyces genome sequences are now available, affording the opportunity to deeply investigate the biosynthetic potential within these organisms and to advance natural product discovery initiatives.
Results: We perform pangenome analysis on 2371 Streptomyces genomes, including approximately 1200 complete assemblies.
Artificial intelligence (AI) tools can triage radiology scans to streamline the patient pathway and also relieve clinician workload. Validated AI tools can mitigate the delays in reporting scans by flagging time-sensitive and actionable findings. In this study, we aim to investigate current stakeholder perspectives and identify obstacles to integrating AI in clinical pathways.
View Article and Find Full Text PDFMany known and unknown historical events have remained below detection thresholds of genetic studies because subtle ancestry changes are challenging to reconstruct. Methods based on shared haplotypes and rare variants improve power but are not explicitly temporal and have not been possible to adopt in unbiased ancestry models. Here we develop Twigstats, an approach of time-stratified ancestry analysis that can improve statistical power by an order of magnitude by focusing on coalescences in recent times, while remaining unbiased by population-specific drift.
View Article and Find Full Text PDFArticle Synopsis
- The ProFATE trial investigated the impact of temporary blood flow arrest during endovascular thrombectomy on vessel recanalization in patients with acute ischemic stroke.
- Conducted across four UK centers, the study randomly assigned 134 adults to either a flow arrest or nonflow arrest group to assess the effectiveness of the procedure.
- Results showed a slight increase in vessel recanalization in the flow arrest group (74.4%) compared to the nonflow arrest group (70.8%), suggesting a potential benefit of temporary blood flow arrest during treatment.
Background: Glioblastoma is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for patient management, treatment planning, and clinical trial stratification.
Methods: We developed a highly reproducible, personalized prognostication and clinical subgrouping system using machine learning (ML) on routine clinical data, MRI, and molecular measures from 2,838 demographically diverse patients across 22 institutions and 3 continents. Patients were stratified into favorable, intermediate, and poor prognostic subgroups (I, II, III) using Kaplan-Meier analysis (Cox proportional model and hazard ratios [HR]).