AI Medical Compendium

A multiscale attention network for mixed artifact suppression in AFM images.

Micron (Oxford, England : 1993) Jun 3, 2026

Accurate nanoscale characterization with Atomic Force Microscopy (AFM) is frequently hindered by complex mixed noise, particularly directional line artifacts and stochastic scars that stem from the instrument's electromechanical noise and feedback in... read more

AI and computer vision for wildlife identification in camera trap images: Fine-tuning SpeciesNet outperforms local models for species classification.

The Science of the total environment Jun 3, 2026

Wildlife camera traps generate millions of images that exceed the capacity of manual processing. Computer vision (CV), a branch of artificial intelligence (AI) and machine learning (ML), helps ecologists process images efficiently. The CV workflow ge... read more

Diagnostic system for tebuthiuron soil ecotoxicity using morphophysiological indicators of Mucuna pruriens validated by Lactuca sativa.

Plant physiology and biochemistry : PPB Jun 3, 2026

This study developed an integrated diagnostic system for tebuthiuron-induced soil ecotoxicity based on morphophysiological indicators of Mucuna pruriens, using the germination index (GI) of Lactuca sativa as a sensitive ecotoxicological validation en... read more

Single-cell-based analysis establishes C1QA-mediated promotion of high glucose-induced tubular epithelial injury via ERS in DN.

Gene Jun 3, 2026

BACKGROUND: Diabetic nephropathy (DN) poses a growing worldwide health challenge as a leading cause of end-stage renal disease, a condition that arises from a complex, poorly defined pathophysiology. Endoplasmic reticulum stress (ERS) is recognized a... read more

Large Language Model Authorship in Ophthalmic Publications.

Ophthalmology Jun 3, 2026

PURPOSE: To assess for the likely presence of artificial intelligence (AI)-generated text in the published ophthalmology literature. METHODS: Abstract text from 27,142 research articles published in 22 journals between May 2020 and May 2025 were eval... read more

Integrative Network Toxicology and Machine Learning Identify AKR1C3 as a Candidate Functional Target of Cypermethrin in Colorectal Cancer.

Chemico-biological interactions Jun 3, 2026

The potential contribution of foodborne pesticide residues to colorectal cancer (CRC) remains insufficiently understood. In this study, we integrated computational toxicology, network analysis, machine learning, molecular docking, and in vitro valida... read more

Week-ahead prediction of depressive episodes using wearable-derived circadian biomarkers: A multicenter deep learning study with risk-based operating thresholds.

Journal of affective disorders Jun 3, 2026

Early detection of depressive episodes is important because shorter duration of untreated illness is associated with better outcomes, yet routine care remains largely reactive and dependent on retrospective self-report. Wearables enable passive, cont... read more

Life-cycle and techno-economic analyses of agro-waste-derived biodegradable plastics enhanced via AI-based parametric optimization.

Environmental research Jun 3, 2026

Growing concerns over climate change and the environmental impact of the overuse of petrochemical-based plastics have prompted the adoption of eco-friendly alternatives. Here, a starch-based biodegradable plastic sheet was synthesized from underexplo... read more

Integrating artificial intelligence into drug delivery systems: Formulation development and current challenges.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V Jun 3, 2026

Artificial intelligence (AI) is increasingly being explored as a supportive tool to address persistent challenges in drug delivery research, particularly those associated with formulation complexity, optimization efficiency, and controlled drug relea... read more

Chest Radiograph-Derived Age Acceleration as an Early Marker of Pulmonary Dysfunction in Middle-Aged Asians.

Chest Jun 3, 2026

BACKGROUND: Deep learning-derived, chest radiographic (CXR) age may capture subclinical structural changes associated with spirometric impairment. RESEARCH QUESTION: Is CXR-based accelerated aging associated with the prevalence and incidence of prese... read more

Artificial Intelligence Medical Compendium