AIMC Topic: Humans

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Emerging biomedical applications of surface-enhanced Raman spectroscopy integrated with artificial intelligence and microfluidic technologies.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
The integration of surface-enhanced Raman spectroscopy (SERS), artificial intelligence (AI), and microfluidics represent a transformative approach for biomedical applications. By combining the molecular sensitivity of SERS, AI-driven spectral analysi...

Prediction of Lymphoma Aggressiveness Using Machine Learning Algorithms.

International journal of laboratory hematology
INTRODUCTION: Lymph nodes are essential to diagnose lymphoid neoplasms, metastases, and infections. Some lymphomas, particularly aggressive non-Hodgkin lymphomas (NHL), need urgent diagnosis. Combining lymph node cytology (LNC) and flow cytometry (FC...

Unveiling mitochondrial-targeting compounds in Qishenyiqi dropping pills for heart failure treatment: An integrative UHPLC-QTOF MS and high-content imaging strategy.

Journal of pharmaceutical and biomedical analysis
Mitochondrial dysfunction, a central pathogenic driver of heart failure (HF), underscores the therapeutic imperative to preserve mitochondrial homeostasis. Qishenyiqi dropping pills (QSYQ), a clinically validated traditional Chinese formulation, exhi...

Assessing the risk of problem gambling among lottery loyalty program members: A machine learning approach.

Addictive behaviors
BACKGROUND AND AIMS: Lottery gambling is a relatively benign form of gambling. Nonetheless, individuals with gambling problems may engage in lottery play and/or play the lottery exclusively. Lottery loyalty programs have data that could be used to sc...

SEISMIC-HF 1: key findings from AHA24 and implications for remote cardiac monitoring.

Heart failure reviews
While there is continued progress in developing therapies for patients with heart failure, the condition results in significant morbidity and a sizeable economic impact on our society. Recent advances in wearable sensors combined with machine learnin...

Decoding the crossroads of aging and cancer through single-cell analysis: Implications for precision oncology.

International journal of cancer
Single-cell analysis is a transformative approach to understanding cellular heterogeneity in aging and cancer, interconnected processes driven by mechanisms like senescence and immune modulation. This review explores how aging influences cancer initi...

Exercise Therapy in Down Syndrome: A Systematic Review and Meta-Analysis Focused on Muscle Strength, Redox Balance, and Inflammatory Profile.

Medicine and science in sports and exercise
OBJECTIVE: This study systematically reviewed and meta-analyzed randomized and quasi-randomized controlled trials investigating the impact of exercise therapy on muscle strength, redox balance, and inflammatory profile in individuals with Down syndro...

Development and validation of a predictive model for depression in patients with advanced stage of cardiovascular-kidney-metabolic syndrome.

Journal of affective disorders
Depression is highly prevalent among patients with chronic disease advanced and with poor clinical outcomes. However, effective tools for identifying individuals at risk remain limited. This study aimed to develop and validate a predictive model for ...

Linking cellular-level phenomena to brain architecture: the case of spiking cerebellar controllers.

Neural networks : the official journal of the International Neural Network Society
Linking cellular-level phenomena to brain architecture and behavior is a holy grail for theoretical and computational neuroscience. Advances in neuroinformatics have recently allowed scientists to embed spiking neural networks of the cerebellum with ...