AIMC Topic: Humans

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Neuronal and therapeutic perspectives on empathic pain: A rational insight.

Neuropharmacology
Empathy is the capacity to experience and understand the feelings of others, thereby playing a key role in a person's mental well-being essentially by promoting kindness and a sense of belongingness to the group. However, too much empathy may result ...

Therapeutic potential of Da Cheng Qi Decoction and its ingredients in regulating ferroptosis via the NOX2-GPX4 signaling pathway to alleviate and predict severe acute pancreatitis.

Cellular signalling
OBJECTIVE: This study aimed to elucidate the protective effects of Da Cheng Qi Decoction (DCQD) on severe acute pancreatitis (SAP) by targeting ferroptosis in pancreatic acinar cells and to establish a predictive signature and nomogram for acute panc...

Use and Usefulness of Risk Prediction Tools in Urologic Surgery: Current State and Path Forward.

Urology practice
INTRODUCTION: Although the enthusiasm for artificial intelligence (AI) to enhance surgical decision-making continues to grow, the preceding advance of risk prediction tools (RPTs) has had limited impact to date. To help inform the development of AI-p...

Altered resting-state brain activity in patients with major depression disorder and bipolar disorder: A regional homogeneity analysis.

Journal of affective disorders
BACKGROUND: Major Depressive Disorder (MDD) and Bipolar Disorder (BD) exhibit overlapping depressive symptoms, complicating their differentiation in clinical practice. Traditional neuroimaging studies have focused on specific regions of interest, but...

Using machine learning methods to predict the outcome of psychological therapies for post-traumatic stress disorder: A systematic review.

Journal of anxiety disorders
BACKGROUND: A number of treatments are available for post-traumatic stress disorder (PTSD), however, there is currently a lack of data-driven treatment selection and adaptation methods for this condition. Machine learning (ML) could potentially help ...

Early differential diagnosis models of Talaromycosis and Tuberculosis in HIV-negative hosts using clinical data and machine learning.

Journal of infection and public health
BACKGROUND: Talaromyces marneffei is an emerging pathogen, and the number of infections in HIV-negative individuals is increasing. In HIV-negative individuals, talaromycosis is usually misdiagnosed as another disease, especially tuberculosis (TB).

A machine learning approach using gait parameters to cluster TKA subjects into stable and unstable joints for discovery analysis.

The Knee
BACKGROUND: Patient-reported joint instability after total knee arthroplasty (TKA) is difficult to quantify objectively. Here, we apply machine learning to cluster TKA subjects using nine literature-proposed gait parameters as knee instability predic...

Identifying individuals at risk for weight gain using machine learning in electronic medical records from the United States.

Diabetes, obesity & metabolism
AIMS: Numerous risk factors for the development of obesity have been identified, yet the aetiology is not well understood. Traditional statistical methods for analysing observational data are limited by the volume and characteristics of large dataset...

The dawn of the revolution that will allow us to precisely describe how microbiomes function.

Journal of proteomics
The community of microorganisms inhabiting a specific environment, such as the human gut - including bacteria, fungi, archaea, viruses, protozoa, and others - is known as the microbiota. A holobiont, in turn, refers to an integrated ecological unit w...