AIMC Topic: Humans

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Amplification-free detection of mycoplasma pneumoniae via CRISPR-Cas12a and deep learning-optimized crRNAs on a lateral flow platform.

Journal of pharmaceutical and biomedical analysis
Accurate and rapid diagnosis of Mycoplasma pneumoniae infection is essential for reducing its significant health burden. An amplification-free CRISPR-Cas12a-mediated detection platform has been developed, incorporating a deep learning-optimized crRNA...

Neurophysiological mechanisms and predictive modeling of SSRI treatment response in depression disorder based on multidimensional EEG features.

Journal of affective disorders
BACKGROUND: Depression exhibits significant heterogeneity in antidepressant treatment response. This study aimed to develop an Electroencephalography (EEG)-based machine learning model integrating multidimensional features to predict selective seroto...

Signal detection in pharmacovigilance: Methods, tools, and workflows from case identification to adverse drug reaction database entry.

Przeglad epidemiologiczny
Adverse drug reactions (ADRs) remain a major, yet largely preventable, global public health challenge, causing significant morbidity, mortality, and healthcare costs. This review synthesises evidence on the global burden, pharmacovigilance systems, a...

Multiple Sclerosis Relapse Treatment During Pregnancy and Offspring Functional and Structural Neurodevelopment: A Cross-Sectional Study.

Neurology
BACKGROUND AND OBJECTIVES: High-dose methylprednisolone (MP) is the global standard for treating pregnancy-associated relapses in multiple sclerosis (MS). Given that glucocorticoids cross the placenta and may interfere with fetal brain development, c...

Curvature-Sensing Peptides for Virus and Extracellular Vesicle Applications.

ACS nano
Membrane curvature is a key biophysical feature that regulates diverse biological processes. A wide range of natural proteins have distinct structural motifs that can sense membrane curvature and function independently as curvature-sensing peptides. ...

Serum Fingerprinting-Based Integrative Dual-Omics Machine Learning for Endometriosis-Associated Ovarian Cancer.

Analytical chemistry
Dual-omics, by integrating molecular information from two distinct dimensions, can offer more comprehensive perspective for complex disease. Herein, we developed an efficient functionalized mesoporous nanoparticle-coupled laser desorption/ionization ...

MolAgent: Biomolecular Property Estimation in the Agentic Era.

Journal of chemical information and modeling
The advent of agentic AI systems is leading to significant transformations across scientific and technological domains. Advances in large language models (LLMs), reasoning capabilities, and integration with external tools have ushered in a new era wh...

T cell receptor specificity landscape revealed through de novo peptide design.

Proceedings of the National Academy of Sciences of the United States of America
T cells play a key role in adaptive immunity by mounting specific responses against diverse pathogens. Effective bindings between T cell receptors (TCRs) and pathogen derived peptides presented on major histocompatibility complexes (MHCs) mediate imm...

Association between atherogenic index of plasma and sepsis in critically ill patients with ischemic stroke: a retrospective cohort study using propensity score and machine learning approaches.

Lipids in health and disease
BACKGROUND: Sepsis is a severe and frequent complication among ischemic stroke patients during hospitalization. The atherogenic index of plasma (AIP), as metabolism-related markers, are closely linked to inflammation. However, their relationship with...

Patient preference predictors revisited: technically feasible, ethically desirable, yet must be clinically relevant.

Critical care (London, England)
Although goal-concordant care is central to patient-centered medicine, determining treatment preferences for incapacitated patients remains a challenge. Nearly two decades ago, algorithms were proposed to estimate the most likely treatment preference...