AIMC Topic: Humans

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Federated fault diagnosis method for collaborative self-diagnosis and cross-robot peer diagnosis.

PloS one
In multi-robot collaboration, individual failures can propagate to other robots due to the topological coupling between them. Existing fault diagnosis models are designed for single robots and fail to meet the practical requirements of multi-robot sc...

Factors influencing the performance of cardiopulmonary resuscitation by lay rescuers: A qualitative study based on the Theory of Planned Behavior.

PloS one
AIMS: This study investigated the underlying causes for the current low rate of cardiopulmonary resuscitation (CPR) implementation among lay rescuers. Specifically, the study aimed to identify the factors that influence both the intention to perform ...

AlphaBind, a domain-specific model to predict and optimize antibody-antigen binding affinity.

mAbs
Antibodies are versatile therapeutic molecules that use combinatorial sequence diversity to cover a vast fitness landscape. Designing optimal antibody sequences, however, remains a major challenge. Recent advances in deep learning provide opportuniti...

Circulating cytokine profiling and clustering identify biomarker predicting efficacy of ICI in combination with chemotherapy.

Cancer letters
The combination of chemotherapy can enhance the efficacy of immune checkpoint inhibitors (ICIs), but requires precise patient stratification and biomarker screening. Cytokines influence immunotherapy outcomes, and multiplex cytokine profiling aids in...

Exploring vaccine safety and adverse events in major autoimmune diseases.

Autoimmunity reviews
This study evaluates post-vaccination adverse events by analyzing a large dataset of patients with major autoimmune diseases, including Hashimoto's n=26,330; Rheumatoid Arthritis n=9,251; psoriasis n=5,589; Systemic Lupus Erythematosus n=4,208; Infla...

Comparing the applicability of de facto population markers for spatiotemporal trend analysis in wastewater-based epidemiology.

Journal of hazardous materials
Wastewater-based epidemiology is an effective public health approach that enables early detection, monitoring, and assessment of community health trends by analysing human excretion products in wastewater. Here, accurate population normalization is e...

Early-stage assessment of investigational digital technologies in mental health: a guide for innovators.

Psychiatry research
Digital technologies, including artificial intelligence, hold great promise for transforming mental health care by enhancing diagnosis, personalizing treatments, and improving patient support. However, many innovations fail to reach clinical practice...

Multi-scale interaction and locally enhanced bridging network for medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Accurate organ segmentation is crucial for precise medical diagnosis. Recent methods in CNNs and Transformers have significantly enhanced automatic medical image segmentation. Their encoders and decoders often rely on simple skip connections, which f...

SNA-SKAN: Unpaired learning for SDOCT speckle noise removal based on self noise assist and kolmogorov-arnold network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Optical Coherence Tomography (OCT) will inevitably be contaminated by speckle noise when imaging, resulting in a decrease in the visual quality of images and affecting clinical diagnosis. Existing unsupervised denoising methods often rely on complex ...

Integrating transcriptomics, network analysis, and single-cell RNA sequencing to identify and validate key target genes of gynostemma in the treatment of non-alcoholic fatty liver disease.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
This study explores the therapeutic targets and mechanisms of Gynostemma pentaphyllum in non-alcoholic fatty liver disease (NAFLD). Using network analysis and bioinformatics, we identified target genes of Gynostemma's active metabolites in NAFLD thro...