AI Medical Compendium

Advances in Pathogen Detection by Nanosensors: Biorecognition Strategies, Signal Amplification, and Platform Engineering.

ACS nano Mar 10, 2026

The escalating global threat of infectious diseases, compounded by antimicrobial resistance (AMR), calls for improved diagnostic strategies. Conventional pathogen detection techniques─culture, enzyme-linked immunosorbent assay (ELISA), and microscopy... read more

Explainable Machine Learning for High-Resolution Modeling of Long-Term Atmospheric Nitrogen and Sulfur Wet Deposition across the United States.

Environmental science & technology Mar 10, 2026

Wet deposition of nitrogen and sulfur compounds is a major pathway through which atmospheric pollutants influence ecosystem nutrient cycles and regional air quality. Existing methods for estimating atmospheric nitrogen and sulfur wet deposition, such... read more

Hot Carrier Injection-Driven Nano-Interface Assembly for Hydrogen Generation.

ACS applied materials & interfaces Mar 10, 2026

Harnessing hot electron transfer (HET) at plasmonic-semiconductor interfaces is a promising route to modulate charge carrier dynamics toward solar energy-driven water splitting for hydrogen generation. Popular semiconductor photocatalysts driving sol... read more

Toward Complex-Systems Evidence for Chinese Medicine: A Four-Phase Evidence Framework.

Journal of evidence-based medicine Mar 10, 2026

Traditional Chinese medicine (TCM) faces persistent gaps between evidence generation and clinical use. Building on Qian Xuesen's theory of open complex giant systems (OCGSs) and its qualitative-to-quantitative metasynthesis, we advance a complex-syst... read more

Machine learning-based prediction model for fall risk among individuals with arthritis in China: an analysis using the China Health and Retirement Longitudinal Study (CHARLS) database.

Journal of health, population, and nutrition Mar 10, 2026

BACKGROUND: Falling has become a global public health problem. Individuals with arthritis have a higher risk of falling because of joint pain, poor muscle strength, and decreased proprioception; however, there is no all-inclusive risk assessment mode... read more

RGReco: a unified framework for automated R-group recognition in chemical publications.

Journal of cheminformatics Mar 10, 2026

The abundant R-group information available in chemical publications plays a crucial role in data-driven artificial intelligence (AI) research in the field of medicinal chemistry. In real-world publications, R-groups are expressed in various textual a... read more

Non-destructive monitoring of root biomass in hydroponically grown leafy vegetables: comparison between machine learning-based RGB and hyperspectral imaging.

Plant methods Mar 10, 2026

BACKGROUND: Root biomass serves as a critical indicator of plant eco-physiological status and crop productivity, yet its non-destructive monitoring remains challenging because of its underground location. The use of transparent nutrient film techniqu... read more

Implementing a machine learning model to predict continuation of contraception among women aged 15-49: secondary data analysis of the last 4 demographic and health surveys in the majority of West African countries.

Reproductive health Mar 10, 2026

Enhanced predictive performance of artificial intelligence in individualized ovarian stimulation of in vitro fertilization: a retrospective cohort study.

BMC medicine Mar 10, 2026

BACKGROUND: Over 2.5 million cycles in vitro fertilization (IVF) are conducted annually, and numbers are expected to rise with the aging population. The controlled ovarian stimulation (COS) process, key to IVF success, is inherently complex. Given ad... read more

A SEM-ANN analysis to examine impact of AI overreliance through a social cognitive lens: the roles of dependency, FOMO, addiction, and anxiety.

BMC psychology Mar 10, 2026

The rapid integration of artificial intelligence (AI) has transformed how people learn, work, and make decisions, while raising growing concerns about AI overreliance. Drawing on Social Cognitive Theory (SCT), we investigated how AI dependency, fear ... read more

Artificial Intelligence Medical Compendium