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Microbial molecule of ageing gut nudges blood stem cells towards cancer
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Monitoring utilisation patterns of home- and community-based services for healthy ageing: a cross-sectional study
CONCLUSIONS: This study highlights that HCBS have not been fully utilised and are influenced by various factors. Moving forward, it is crucial to address the care needs of different income groups, with particular attention to the unique challenges faced by rural older adults. Targeted policies and interventions are necessary to enhance accessibility for those with chronic illnesses and limited family support. Local governments should work in partnership with families to develop higher-quality,...
Cathepsin B Regulates Ovarian Reserve Quality and Quantity via Mitophagy by Modulating IGF1R Turnover
The quality and quantity of the ovarian reserve are meticulously regulated through various cell death pathways to guarantee the availability of high-quality oocytes for fertilization. While apoptosis is recognized for contributing to maintaining ovarian reserve, the involvement of other cell death pathways remains unclear. Employing chemical genetics and proteomics, this study reveals the crucial involvement of Cathepsin B in maintaining the ovarian reserve. Results indicate that apoptosis and...
Normative characterization of age-related periodic and aperiodic activity in resting-state real-world clinical EEG recordings
CONCLUSION: Decomposing the power spectrum into periodic and aperiodic components allows for the characterization of age-related changes.
TCF7-Linked Immune Resilience: A Salutogenic Biological Warranty for Longevity
Immune resilience as a salutogenic force to preserve healthspan and resilience to challenges. The figure was created with BioRender (https://www.BioRender.com/).
Age-Associated Decline in Autophagy Pathways in the Retinal Pigment Epithelium and Protective Effects of Topical Trehalose in Light-Induced Outer Retinal Degeneration in Mice
Age is a primary risk factor for chronic conditions, including age-related macular degeneration (AMD). Impairments in autophagy processes are implicated in AMD progression, but the extent of autophagy's contribution and its therapeutic potential remain ambiguous. This study investigated age-associated transcriptomic changes in autophagy pathways in the retinal pigment epithelium (RPE) and evaluated the protective effects of topical trehalose, an autophagy-enhancing small molecule, against...
‘Fear extinction’ signal in mouse brain offers clues about how to treat PTSD
Microbial molecule of ageing gut nudges blood stem cells towards cancer
A forensic investigator of glacier change
Publisher Correction: irCLIP-RNP and Re-CLIP reveal patterns of dynamic protein assemblies on RNA
Valuing caregiving is a prerequisite for the wellbeing economy and mental wealth
My fight to unlock cannabis and psychedelic drugs for use in medical research
Academia needs a more honest, scientific approach to DEI
How the world’s largest language family spread — and why others go extinct
Built-in safeguards might stop AI from designing bioweapons
Researchers propose modifying protein-design algorithms to keep bad actors from misusing them
High-flying ecologist blurred boundaries, broke financial rules, ETH Zürich report finds
Thomas Crowther has lost his post at the university but denies any misconduct
Modern farming has carved away earth faster than during the ice age
Minnesota study adds to growing evidence of human-accelerated erosion, which could jeopardize agriculture
Enhanced EEG-based Alzheimer's disease detection using synchrosqueezing transform and deep transfer learning
The most prevalent type of dementia and a progressive neurodegenerative disease, Alzheimer's disease has a major influence on day-to-day functioning due to memory loss, cognitive decline, and behavioral problems. By using synchrosqueezing representations of EEG signals classified by fine-tuned pre-trained convolutional neural networks, this paper presents an EEG-based classification model for Alzheimer's detection. EEG signals are converted into image patterns with time-varying oscillatory...
A review of multimodal fusion-based deep learning for Alzheimer's disease
Alzheimer's Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, characterized by significant memory and cognitive decline in its later stages, severely impacting daily lives. Consequently, early diagnosis and accurate assessment are crucial for delaying disease progression. In recent years, multimodal imaging has gained widespread adoption in AD diagnosis and research, particularly the combined use of Magnetic Resonance Imaging (MRI) and Positron Emission Tomography...
scMultiMap: Cell-type-specific mapping of enhancers and target genes from single-cell multimodal data
Mapping enhancers and target genes in disease-related cell types provides critical insights into the functional mechanisms of genome-wide association studies (GWAS) variants. Single-cell multimodal data, which measure gene expression and chromatin accessibility in the same cells, enable the cell-type-specific inference of enhancer-gene pairs. However, this task is challenged by high data sparsity, sequencing depth variation, and the computational burden of analyzing a large number of pairs. We...