Artificial Intelligence Medical Compendium

As space exploration advances into the era of deep space exploration, humanity faces unprecedented challenges in maintaining astronaut health, not only during prolonged space travel but also in adapting to low-gravity environments, such as those on t... read more 

Protein foundation models (pFMs) have emerged as pivotal tools in advancing protein science. By leveraging advanced deep learning architectures trained on large-scale protein datasets, pFMs learn generalizable patterns in proteins, enabling accurate ... read more 

Bangladesh has diverse and vibrant cultural sports, some of which have gained international recognition in recent years. However, there is a lack of standardized datasets for deep learning and computer vision tasks. To address this gap, BD Sports-10 ... read more 

BACKGROUND: Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a prevalent sleep disorder linked to brain alterations, but its brain network patterns and convenient screening methods remain unclear. This study aimed to characterize OSAHS functional... read more 

Accurate and efficient traffic flow prediction is essential for developing smart cities. Traffic flow data exhibits complex spatio-temporal dependencies, and the weights between nodes may change dynamically due to travel patterns and node attributes.... read more 

Early identification of mild cognitive impairment (MCI) progressing to Alzheimer's disease (AD) is of paramount importance. Despite the notable advances in deep learning in this domain, current approaches are largely based on global brain analysis an... read more 

BACKGROUND: Non-suicidal self-injury (NSSI) in adolescents represents a critical public health issue. While symptomatic links between NSSI and alterations in pain and social processing have been established, changes in neural responses and everyday r... read more 

OBJECTIVE: This study aims to optimize depression screening tools through a data-driven approach, identifying the most predictive core item combination from the PHQ-9 scale to construct a new simplified depression screening tool. METHODS: Using 11 in... read more 

Biomass elemental and biochemical compositions determine its conversion behavior and utilization potential. However, a standardized classification system based on these intrinsic characteristics is lacking, and different biomass types follow distinct... read more 

In deep learning, the robustness and generalizability of models significantly depend on diverse and heterogeneous training data. Acquiring such an extensive dataset is challenging in fields like disorder prediction due to data scarcity, which can be ... read more