Artificial Intelligence Medical Compendium

BACKGROUNDS: The etiology of depression involves chronic stress, a recognized determinant of onset and severity. This study adopts a translational approach, utilizing a mouse model and a clinical cohort to explore the relationship between chronic str... read more 

Flavour is a key quality attribute of cocoa, essential for industry standards and consumer preferences. Automated methods for assessing flavour quality support industrial laboratories in achieving high sample throughput. Targeted and untargeted HS-SP... read more 

Breast cancer is a malignant tumor originating from the breast epithelium, and emerging evidence suggests that the gut microbiota influences its development, progression, and treatment, although its role remains underexplored. In this study, we emplo... read more 

The advancement of an (in vitro/ex vivo) hybrid model framework for forecasting polyviral lung disease outcomes addresses the pressing need for sophisticated tools to understand the complexities of these infections. The primary objective of this stud... read more 

INTRODUCTION: Demand for surgical treatment is growing and patient complexity is increasing. The NHS England standard contract now requires that pre-operative services risk stratify and optimise patients awaiting surgery. However, current pre-operati... read more 

Brain function emerges from intricate cellular communication within neural networks. Both In silico neuronal models and primary neuron cells have revealed that the branching architecture of individual neurons determines the bioelectrical signal propa... read more 

In the field of long-tail visual recognition, the imbalance in data distribution leads to a significant performance gap between head and tail classes. Improving the tail-class performance and alleviating the decline in head class are two critical que... read more 

Bioprinting has been widely used to fabricate three-dimensional constructs for various applications. However, conventional bioprinting modalities face challenges such as low resolution, poor repeatability, limited speed, and scalability constraints. ... read more 

Energy storage batteries, as the core carriers for energy storage and conversion, are pivotal in advancing the utilization of renewable energy and the development of electric vehicles. However, existing battery systems still face bottlenecks such as ... read more 

BACKGROUND: Our previous research indicated that ChatGPT-3.5 was inadequate in generating nutritionally accurate dietary plans for patients with chronic kidney disease (CKD). Given the subsequent release of ChatGPT-40 and the emergence of DeepSeek, t... read more