Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1136/bmjebm-2022-112002 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A preliminary ex vivo diffusion tensor imaging study of distinct aortic morphologies.
J Anat
January 2025
Trinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
Changes in the microstructure of the aortic wall precede the progression of various aortic pathologies, including aneurysms and dissection. Current clinical decisions with regards to surgical planning and/or radiological intervention are guided by geometric features, such as aortic diameter, since clinical imaging lacks tissue microstructural information. The aim of this proof-of-concept work is to investigate a non-invasive imaging method, diffusion tensor imaging (DTI), in ex vivo aortic tissue to gain insights into the microstructure.
View Article and Find Full Text PDFPredicting brain tumour growth patterns using a novel MRI-based tumour spread map: application to radiotherapy planning.
Med Phys
January 2025
Paul Albrechtsen Research Institute, CancerCare Manitoba, Winnipeg, Canada.
Background: The treatment of glioblastomas (GBM) with radiation therapy is extremely challenging due to their invasive nature and high recurrence rate within normal brain tissue.
Purpose: In this work, we present a new metric called the tumour spread (TS) map, which utilizes diffusion tensor imaging (DTI) to predict the probable direction of tumour cells spread along fiber tracts. We hypothesized that the TS map could serve as a predictive tool for identifying patterns of likely recurrence in patients with GBM and, therefore, be used to modify the delivery of radiation treatment to pre-emptively target regions at high risk of tumour spread.
Towards evaluating and building versatile large language models for medicine.
NPJ Digit Med
January 2025
Shanghai Jiao Tong University, Shanghai, China.
In this study, we present MedS-Bench, a comprehensive benchmark to evaluate large language models (LLMs) in clinical contexts, MedS-Bench, spanning 11 high-level clinical tasks. We evaluate nine leading LLMs, e.g.
View Article and Find Full Text PDFMachine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms.
NPJ Digit Med
January 2025
Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Noninvasive methods for intracranial pressure (ICP) monitoring have emerged, but none has successfully replaced invasive techniques. This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a cranial extensometer device (brain4care [B4C] System). The model explored multiple waveform parameters to optimize mean ICP estimation.
View Article and Find Full Text PDFModular metabolic flux control for kick-starting cascade catalysis through engineering customizable compartment.
Bioresour Technol
January 2025
School of Life Sciences, Anhui University, Hefei 230601, China; Key Laboratory of Human Microenvironment and Precision Medicine of Anhui Higher Education Institutes, Anhui University, Hefei 230601 Anhui, China; Anhui Key Laboratory of Modern Biomanufacturing, Hefei 230601 Anhui, China. Electronic address:
Microbial compartment provides a promising approach for achieving high-valued chemical biosynthesis from renewable feedstock. However, volatile precursor could be utilized by pathway enzyme, which may hinder and adverse the cascade catalysis within microbial cell factory. Here, a customizable compartment was developed for pathway sequestration using spatially assembled cascade catalysis reaction.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!