AI Medical Compendium

Machine learning meets ecology: XGBoost-based prediction of endangered species habitats using multi-source environmental data.

Environmental monitoring and assessment Jul 18, 2026

Buxus hyrcana, an endangered and ecologically significant tree species of the Hyrcanian forests, faces severe threats from climate change, land-use pressures, and habitat degradation. Accurate prediction of its potential distribution is therefore cri... read more

Predicting postoperative coronal imbalance in Lenke 1/2 adolescent idiopathic scoliosis: A machine learning model with clinical interpretability.

International orthopaedics Jul 18, 2026

OBJECTIVES: Selective posterior thoracic fusion (sPTF) for Lenke 1/2 adolescent idiopathic scoliosis (AIS) aims to reconcile multi-planar correction with motion preservation. Nevertheless, postoperative coronal imbalance (CIB) frequently compromises ... read more

Associations of employment status with social media addiction, anxiety, and parenting self-efficacy among mothers of infants: a cross-sectional study using machine learning.

BMC public health Jul 18, 2026

BACKGROUND: Differences in social media addiction, anxiety, and parenting self-efficacy according to maternal employment status have important implications for maternal and child public health. However, evidence comparing these psychosocial outcomes ... read more

Oculomics: advances and perspectives from traditional Chinese medicine to modern multimodal biomarkers.

International journal of ophthalmology Jul 18, 2026

Oculomics, the study of the relationship between ophthalmic biomarkers (changes or abnormalities in the eye) and systemic health or disease states, posits that the eye can serve as a window into the overall health of the body. This concept aligns clo... read more

Artificial intelligence for diagnosis of keratoconus using Scheimpflug based corneal tomography.

International journal of ophthalmology Jul 18, 2026

AIM: To develop and evaluate the diagnostic accuracy of deep learning (DL) models in differentiating keratoconus (KC) from normal eyes with regular astigmatism. METHODS: A comparative cross-sectional study was conducted at the Cornea and Diagnostic D... read more

AI-assisted fragment-based drug discovery of SARS-CoV-2 macrodomain binders validated by NMR and X-ray crystallography.

Communications chemistry Jul 17, 2026

Fragment-based drug discovery (FBDD) is an effective approach for exploring chemical space using small, low-affinity fragments as starting points to facilitate development of lead compounds. Strategies to improve fragment potency include fragment mer... read more

Explainable machine learning for early prediction and anatomical classification of pulmonary embolism in the emergency department.

BMC emergency medicine Jul 17, 2026

BACKGROUND: Pulmonary thromboembolism (PTE) is a life‑threatening condition that requires prompt and accurate evaluation in the emergency department (ED). Standardized clinical scoring systems, including the Wells and revised Geneva scores, form the ... read more

Human salivary microbiome as a potential non-invasive biomarker for early-onset colorectal cancer screening: a prospective study.

BMC microbiology Jul 17, 2026

BACKGROUND: The incidence of early-onset colorectal cancer (EOCRC) has been increasing in recent years, the carcinogenesis of which has been linked to oral microbiota alterations. However, it is unknown if the salivary microbiome could help detect EO... read more

Biosensor-Based Detection and Quantification of Arsenic in Drinking Water.

ACS synthetic biology Jul 17, 2026

Arsenic contamination of drinking water remains a persistent global health burden and an environmental justice challenge, particularly for low-resource communities that lack access to reliable monitoring tools. Synthetic-biology-driven biosensors off... read more

Mechanistic Insights into Effector-Mediated Modulation of Rice Mitochondrial Proteins by Magnaporthe oryzae.

Molecular biotechnology Jul 17, 2026

Mitochondria are crucial for the plant and animal immunity. The effector protein MoCDIP4 reduces rice immunity by targeting the mitochondria-associated OsDjA9-OsDRP1E protein complex. The present study is focussed on how Magnaporthe oryzae, the fungu... read more

Artificial Intelligence Medical Compendium