Artificial Intelligence Medical Compendium

Accurate prediction of protein-ligand binding affinity is vital for accelerating drug discovery, yet challenges persist in efficiently capturing critical structural and chemical interactions efficiently. This study introduces amino acid pair position... read more 

Molecular dynamics simulations hold great promise for providing insight into the microscopic behavior of complex molecular systems. However, their effectiveness is often constrained by long timescales associated with rare events. Enhanced sampling me... read more 

OBJECTIVES: Traumatic dental injuries (TDIs) are complex clinical conditions that require timely and accurate decision-making. With the rise of large language models (LLMs), there is growing interest in their potential to support dental management. T... read more 

BackgroundThe incidence of anastomotic leakage (AL) following radical gastrectomy for gastric cancer ranges from 2.1% to 14.6%, with mortality rates up to 50%. Existing predictive methods lack both timeliness and accuracy. This study aimed to develop... read more 

PURPOSE: Time-dependent diffusion MRI enables quantification of tumor microstructural parameters useful for diagnosis and prognosis. Nevertheless, current model fitting approaches exhibit suboptimal bias-variance trade-offs; specifically, nonlinear l... read more 

Pancreatic disease affects over 10% of the world population, and the most dangerous is pancreatic cancer (PC). The disease is mostly of late age of onset, especially in developed countries, and is associated with poor prognosis due to late presentati... read more 

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PURPOSE OF REVIEW: Osteochondrosis encompasses a heterogenous group of pathologies affecting endochondral ossification in the growing child and adolescent. The cause of each disease is multifactorial, though many are often related to overuse injury, ... read more 

ETHNOPHARMACOLOGICAL RELEVANCE: Eleven Flavored Shenqi Tablets (EFST) is a classical multi-herbal prescription in traditional Chinese medicine, traditionally prescribed for kidney tonification and systemic regulation. Despite its reported anti-inflam... read more 

Biosensors have emerged as transformative tools in modern diagnostics, enabling rapid, accurate, and sensitive detection of biological markers for disease diagnosis, real-time monitoring, and personalized healthcare. However, current biosensors still... read more