AI Medical Compendium

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

Update on the structure-Function relationship in glaucoma.

Survey of ophthalmology Jun 3, 2026

The relationship between structural and functional damage in glaucoma, the structure-function relationship, forms the cornerstone of disease assessment, monitoring, and prognosis. We provide an updated synthesis of current knowledge on the structure-... read more

Scientific publishing in the era of artificial intelligence: Integrity and responsibility.

Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology Jun 3, 2026

Trends in Cleft Palate Incidence in the Era of Prenatal Ultrasonography and Early Detection.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association Jun 3, 2026

ObjectiveTo evaluate whether temporal changes in prenatal detection and North Carolina abortion rates are associated with live-birth cleft palate (CP ± L) severity phenotypes.DesignRetrospective cohort study linking patient-level clinical data to ann... read more

Connected-speech digital biomarkers for monitoring transcranial pulse stimulation in Alzheimer's disease: A pilot study.

Journal of Alzheimer's disease : JAD Jun 3, 2026

BackgroundAlzheimer's disease (AD) lacks effective disease-modifying therapies and scalable, ecologically valid biomarkers to monitor treatment response. Transcranial pulse stimulation (TPS) is an emerging non-invasive neuromodulation technique with ... read more

Fluorescence spectroscopy and machine learning methods for detection of Alzheimer's disease from circulating white blood cells.

Journal of Alzheimer's disease : JAD Jun 3, 2026

BackgroundAlzheimer's disease (AD) is the most common cause of dementia whose prevalence is projected to increase significantly in the coming decades. The recent advent of disease modifying therapies is a welcome development; however, it is also now ... read more

Nutritional Characteristics of Foods With Addictive Potential: A Machine-Learning Approach.

American journal of public health Jun 3, 2026

Objectives. To identify nutritional characteristics associated with the perceived addictive potential of commonly consumed foods in the US food supply, the majority of which are ultraprocessed foods (UPFs). Methods. In a demographically diverse sampl... read more

Artificial Intelligence Medical Compendium