Artificial Intelligence Medical Compendium

In recent years, neural ordinary differential equation frameworks such as Biologically-Informed Neural Networks (BINNs) have shown promise for learning mechanistic laws from sparse data. However, most existing approaches implicitly assume homoscedast... read more 

Artificial intelligence (AI) and machine learning (ML) are transforming immunohematology, offering significant enhancements in precision, accuracy, and personalized transfusion care. This expert overview summarizes current applications of AI/ML in ph... read more 

This paper describes a mathematical model of tumor growth during chemotherapy, employing a fractional calculus approach to account for the interactions between cancer cells, normal cells, immune cells, and drugs. This method better reflects the role ... read more 

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly termed nonalcoholic fatty liver disease (NAFLD), encompasses a heterogeneous clinical spectrum ranging from isolated hepatic steatosis to metabolic dysfunction-associated stea... read more 

PURPOSE: Chronic pain (CP) is highly prevalent in the U.S. and imposes substantial health and economic burdens. Understanding which biopsychosocial and treatment-related factors drive pain progression and improvement is essential for developing targe... read more 

Accurate knowledge of brain tissue mechanics is essential for understanding the pathologies that cause mechanical changes and for developing reliable computer models for neurosurgical procedures. However, the age-related changes in brain mechanics an... read more 

Penetration enhancers (PEs) are widely used in transdermal drug delivery systems (TDDS) due to their cost-effectiveness and excellent biocompatibility. However, the rapid selection of PEs for TDDS is hindered by two critical challenges: first, in vit... read more 

INTRODUCTION AND OBJECTIVES: Hepatocellular carcinoma (HCC) is a major complication of chronic liver disease (CLD) requiring improved risk stratification. Esophageal varices (EVs), as manifestations of severe portal hypertension, may promote HCC deve... read more 

Three-dimensional (3D) spheroid and microtissue models are increasingly used in phenotypic drug discovery, yet their scalability for high-throughput screening often remains limited, constrained by the cost and complexity of conventional imaging-based... read more 

Lung adenocarcinoma (LUAD) remains a leading cause of cancer-related mortality. Integrative multi-omics and machine-learning analyses across independent cohorts identified CYYR1 as a frequently downregulated transmembrane protein in LUAD, with low ex... read more