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Disrupted brain networks underlying high-fidelity memory retrieval in subjective cognitive decline: A task-based fMRI study.
Alzheimers Dement
December 2024
Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Introduction: Subjective cognitive decline (SCD) is linked to memory complaints and disruptions in certain brain regions identified by molecular imaging and resting-state functional magnetic resonance imaging studies. However, it remains unclear how these regions interact to contribute to both subjective and potential objective memory issues in SCD.
Methods: To address this gap, task-based imaging studies are essential.
Development and evaluation of high fidelity, multidisciplinary simulation training course for high consequence infectious diseases using fluorescence visualisation.
J Hosp Infect
December 2024
Health - Exposure and Control Group, Health and Safety Executive Science and Research Centre, Buxton, UK. Electronic address:
Background: High consequence infectious diseases (HCID) include contact-transmissible viral haemorrhagic fevers and airborne-transmissible infections such as Middle Eastern Respiratory Syndrome. Assessing suspected HCID cases requires specialised infection control measures including patient isolation, personal protective equipment (PPE), and decontamination. There is need for an accessible course for NHS staff to improve confidence and competence in using HCID PPE outside specialist HCID centres.
View Article and Find Full Text PDFFast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators.
NPJ Digit Med
December 2024
ELEM Biotech S.L., Pier 07, Via Laietana, 26, Barcelona, 08003, Spain.
In silico trials for drug safety assessment require many high-fidelity 3D cardiac simulations to predict drug-induced QT interval prolongation, which is often computationally prohibitive. To streamline this process, we developed sex-specific emulators for a fast prediction of QT interval, trained on a dataset of 900 simulations. Our results show significant differences between 3D and 0D single-cell models as risk levels increase, underscoring the ability of 3D modeling to capture more complex cardiac responses.
View Article and Find Full Text PDFFusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network.
BMC Med Inform Decis Mak
December 2024
School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD, 4000, Australia.
Background: The detection and classification of lung nodules are crucial in medical imaging, as they significantly impact patient outcomes related to lung cancer diagnosis and treatment. However, existing models often suffer from mode collapse and poor generalizability, as they fail to capture the complete diversity of the data distribution. This study addresses these challenges by proposing a novel generative adversarial network (GAN) architecture tailored for semi-supervised lung nodule classification.
View Article and Find Full Text PDFElucidating subcellular architecture and dynamics at isotropic 100-nm resolution with 4Pi-SIM.
Nat Methods
December 2024
Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
Three-dimensional structured illumination microscopy (3D-SIM) provides excellent optical sectioning and doubles the resolution in all dimensions compared with wide-field microscopy. However, its much lower axial resolution results in blurred fine details in that direction and overall image distortion. Here we present 4Pi-SIM, a substantial revamp of IS that synergizes 3D-SIM with interferometric microscopy to achieve isotropic optical resolution through interference in both the illumination and detection wavefronts.
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