Artificial Intelligence Medical Compendium

Understanding how pedoclimatic drivers regulate soil organic carbon (SOC) stock is crucial for gaining insights into terrestrial carbon-climate feedback and thus adaptation to climate change. However, current data-driven SOC predictive models often n... read more 

The discharge of sulfate-rich wastewater from chemical and pharmaceutical and food processing industries results in serious environmental problems that impact both the natural environment and human health. The conventional sulfate removal process usi... read more 

Predicting protein function is a key challenge in computational biology with broad implications for understanding biological systems and disease mechanisms. Traditional deep learning approaches rely heavily on protein sequence data and protein-protei... read more 

Direct child sexual abuse is pervasive, with consistent estimates across reviews and epidemiology at up to 20 % for girls and up to 15 % for boys; the values are in line with additional online exposure to child sexual abuse materials (CSAM). The 1989... read more 

Many ethno-racial minority populations had disproportionately high rates of COVID-19 infection and mortality during the initial years of the pandemic, but it is currently unclear whether Middle Eastern and North African populations in the USA experie... read more 

Coronary heart disease is one of the leading causes of global death. Early detection and accurate risk assessment are critical for improving patient health and reducing fatality rates. Recently, machine learning has emerged as a powerful approach for... read more 

BACKGROUND AND OBJECTIVES: Bone metastases, affecting more than 4.8% of patients with cancer annually, and particularly spinal metastases require urgent intervention to prevent neurological complications. However, the current process of manually revi... read more 

Diabetic encephalopathy is a progressive complication of type 2 diabetes, yet its region-specific biochemical changes remain unclear. In this study, we applied Fourier Transform Infrared Microspectroscopy (FTIRM) to assess metabolic alterations in th... read more 

Vascular aging-related remodeling is a common pathological basis for many chronic diseases, so early detection of physical arterial aging is important for their prevention and control. Existing staining methods can only analyze a limited number of ti... read more 

Hematopathology workflows are complex, since they include numerous data points necessary for guiding further testing, diagnosis, and patient management. The workflows start with complete blood cell counts, with subsequent morphologic evaluation of pe... read more