AI Medical Compendium

The multilevel exploration test, a novel paradigm to measure exploratory behavior in depression animal models and the involvement of the PL-ZI circuit.

Acta pharmacologica Sinica May 19, 2026

Diminished drive is one of the core symptoms of major depressive disorder (MDD) diagnosis, yet its underlying neural mechanisms remain elusive, primarily due to a lack of appropriate animal models. We developed a novel Multilevel Exploration Test (ME... read more

Analysis, control, and forecasting the dynamics of SIRD models with saturated treatment and nonlinear incidence.

Scientific reports May 19, 2026

This study addresses the challenge of managing complex epidemic dynamics exhibited by a novel Susceptible-Infected-Recovered-Deceased (SIRD) model. The introduced model incorporates a biologically and behaviorally mediated nonlinear incidence rate al... read more

Personalized machine learning guided intervention for optimizing lifestyle behaviors in depression: a pilot study.

NPP - digital psychiatry and neuroscience May 19, 2026

Personalized data-driven interventions for depression are much needed. Here, we leveraged N-of-1 machine learning (ML) to optimally target behavioral lifestyle interventions for depression. 50 individuals with mild-to-moderate depression enrolled in ... read more

An interpretable machine learning model integrating [18F]FDG PET/CT radiomics and clinical features for predicting perforation following chemotherapy in gastrointestinal lymphoma: a multicenter study.

European journal of nuclear medicine and molecular imaging May 19, 2026

BACKGROUND: Perforation following chemotherapy in gastrointestinal lymphoma (PFCGL) is a rare but severe and life-threatening complication. Early pre-chemotherapy prediction is crucial for optimizing treatment and improving outcomes, yet it remains c... read more

A clinically interpretable deep learning pipeline for diabetic retinopathy classification using EfficientNet, advanced data augmentation and GradCAM.

BMC ophthalmology May 19, 2026

BACKGROUND: Early and reliable grading of diabetic retinopathy is important for preventing avoidable vision loss. Although deep learning methods have shown strong performance on retinal fundus images, grading remains difficult because of class imbala... read more

Causal direct drivers of greenhouse gas emissions in 40,722 wastewater treatment plants in China.

Environmental science and ecotechnology May 19, 2026

Wastewater treatment plants (WWTPs) are essential for public health but are highly energy-intensive, accounting for approximately 1.6% of global greenhouse gas (GHG) emissions. Developing cost-effective carbon mitigation strategies requires identifyi... read more

NeuraMFs: A deep learning model for airborne microfiber identification in plant biomonitors.

Journal of hazardous materials May 19, 2026

Airborne anthropogenic microfibers (A-MFs), including synthetic and industrially modified cellulosic fibers, are an emerging class of atmospheric contaminants of growing concern due to their persistence, inhalation exposure, and potential to transpor... read more

BRPtools: An AutoML-Powered web platform for multiclass disease prediction from bulk blood RNA-seq data.

Molecular therapy. Nucleic acids May 19, 2026

Blood-based transcriptomic profiling provides a minimally invasive approach for disease diagnosis; however, the integration of large-scale, heterogeneous RNA sequencing (RNA-seq) datasets remains challenging. Here, we manually curated and uniformly r... read more

Artificial Intelligence for Molecular Subtyping in Unresectable Gallbladder Cancer: A Proof-of-Concept Study for CT-based HER2 Status Prediction.

Journal of clinical and experimental hepatology May 19, 2026

BACKGROUND/AIMS: Human epidermal growth factor receptor 2 (HER2) overexpression is a critical therapeutic target in gallbladder cancer (GBC), but detection requires invasive sampling. We developed a fully automated computed tomography (CT)-based fram... read more

Technology-Enabled Crisis Care for Youth: Bridging the Gap.

Child and adolescent psychiatric clinics of North America May 19, 2026

The article discusses technological advancements in mental health care for youth in crisis, addressing workforce shortages and enhancing care delivery. Technologies like remote patient monitoring, telehealth, mobile health applications, virtual reali... read more

Artificial Intelligence Medical Compendium