AI Medical Compendium

Kinetic parameter prediction using neural networks identifies limitations to C4 photosynthesis.

The New phytologist May 28, 2026

Kinetic models of photosynthesis enable time-resolved predictions of traits related to this key process and provide the means to identify factors limiting photosynthesis. However, the use of large-scale models is currently limited by the lack of effi... read more

Colorectal cancer sidedness: prognostic implications and the predictive role of artificial intelligence.

BMC medical informatics and decision making May 28, 2026

BACKGROUND: Colorectal cancer (CRC) is a biologically heterogeneous disease in which tumor sidedness has emerged as a relevant prognostic factor. Conventional TNM staging does not incorporate several clinically and biologically meaningful variables t... read more

Language barriers, mobility, and health equity: clinical risks, economic burden, and policy options for universal language access.

International journal for equity in health May 28, 2026

BACKGROUND: International mobility has intensified routine contact between health systems and patients who do not speak the dominant language of care. In these encounters, language discordance is not a minor inconvenience but a mechanism through whic... read more

Molecular prevalence, genomic characterization, and zoonotic potential of novel paramyxovirus and hepacivirus in Alexandromys fortis, Republic of Korea.

Veterinary research May 28, 2026

Rodents are substantial reservoirs of zoonotic viruses with regular human exposure restricted to a limited number of species. Numerous rodent species have been shown to harbor emerging viruses, including paramyxoviruses and hepaciviruses. Reed voles ... read more

Elevated ST2+ Tregs in RA-ILD: correlation with pulmonary fibrosis and the IL-33/ST2/AREG axis.

Arthritis research & therapy May 28, 2026

BACKGROUND: Interstitial lung disease (ILD) represents a significant extra-articular complication associated with rheumatoid arthritis (RA), contributing substantially to the morbidity and mortality observed in affected patients. Despite its clinical... read more

2NPLGBM: a genomic model that merges the strengths of classical and machine learning methods in genomic prediction.

Plant methods May 28, 2026

BACKGROUND: Genomic prediction (GP) is a central component of modern plant breeding, enabling the early selection of superior genotypes based on genomic marker data. Classical GP models, such as genomic best linear unbiased prediction (GBLUP), operat... read more

Preoperative low-attenuation area on computed tomography is associated with recurrence after curative resection for non-small-cell lung cancer.

Cancer imaging : the official publication of the International Cancer Imaging Society May 28, 2026

BACKGROUND: Recurrence after curative-intent resection remains a major determinant of long-term outcomes in non-small-cell lung cancer (NSCLC). Preoperative computed tomography (CT)-derived low-attenuation area (LAA) is an objective marker of smoking... read more

Utility of artificial intelligence for the diagnosis, prognosis, and management of central serous chorioretinopathy: a narrative review.

International journal of retina and vitreous May 28, 2026

Central serous chorioretinopathy (CSC) represents a significant cause of visual impairment, particularly in working-age individuals. Despite advances in multimodal imaging and evidence supporting photodynamic therapy (PDT) as the mainstay of chronic ... read more

Capsid Engineering of Adeno-Associated Viruses for Targeted Gene Therapy in Kidney Diseases.

Human gene therapy May 28, 2026

The global burden of chronic and genetic kidney diseases poses a significant challenge to healthcare systems. Current therapies, including dialysis, transplantation, and supportive pharmacotherapies, cannot halt disease progression or address root ca... read more

PoroNet: An Intrinsically Interpretable Pore Graph Neural Network for Resolving Pore-Level Adsorption in Metal-Organic Frameworks.

Journal of chemical theory and computation May 28, 2026

Machine learning (ML) models have been widely used as efficient surrogates to predict adsorption in metal-organic frameworks (MOFs) for gas storage, chemical separations, and catalysis applications. The "black box" nature of these ML models, however,... read more

Artificial Intelligence Medical Compendium