AI Medical Compendium

Evaluating model generalizability for suicide attempt risk prediction: traditional machine vs deep learning.

Npj mental health research Apr 30, 2026

Suicide remains a leading cause of death and a significant public health concern in the United States. A majority (83%) of suicide decedents had a healthcare visit within the prior 365 days, presenting unique opportunities to utilize healthcare data ... read more

Machine learning in prediction and classification of type 1 diabetes.

Nature genetics Apr 30, 2026

Genetic association and machine learning improve the prediction of type 1 diabetes risk.

Nature genetics Apr 30, 2026

Type 1 diabetes (T1D) has a large genetic component, and expanded genetic studies of T1D can enhance biological and therapeutic discovery and improve risk prediction. Here we performed genome-wide genetic association and fine-mapping analyses in 20,3... read more

Peripheral blood mononuclear cell DNA methylation signatures guide surgical decision-making in indeterminate pulmonary nodules.

Communications medicine Apr 30, 2026

BACKGROUND: Distinguishing malignant from benign pulmonary nodules remained a significant clinical challenge. Given the involvement of DNA methylation in anti-tumor immunity, we aimed to investigated whether DNA methylation patterns in peripheral blo... read more

Imaging of ewing sarcoma: an updated analysis including presenting features, prognostic imaging biomarkers, and treatment response assessment.

Skeletal radiology Apr 30, 2026

Ewing sarcoma is a highly aggressive small round cell sarcoma primarily affecting children and adolescents. Imaging plays a central role from diagnosis to staging, treatment response assessment, and follow-up. This review synthesizes current evidence... read more

DeepSeMS: revealing the hidden biosynthetic potential of the global ocean microbiome with a large language model.

Nature computational science Apr 30, 2026

Microbial-derived secondary metabolites (SMs) hold great therapeutic potential but are predominantly discovered from cultured species, representing only a fraction of microbial biodiversity. Advances in metagenomics have unveiled reservoirs of biosyn... read more

Integration of 117 machine learning algorithms and single-cell transcriptomics identifies macrophage polarization and ER stress signatures for cancer prognosis and precision therapy.

Discover oncology Apr 30, 2026

BACKGROUND: Macrophage polarization and endoplasmic reticulum (ER) stress play critical yet incompletely understood roles in cancer progression and therapeutic resistance. METHODS: Here, we conduct a systematic pan-cancer analysis of macrophage polar... read more

Data-driven prioritization of high-risk individuals for weight loss interventions.

Nature medicine Apr 30, 2026

New obesity medications have demonstrated efficacy in trials, but their real-world deployment is partly limited by the absence of approaches that identify individuals for treatment based on risks for obesity-related complications. Here we present a r... read more

The impact of scanner domain shift on deep learning performance in medical imaging: an experimental study.

International journal of computer assisted radiology and surgery Apr 30, 2026

PURPOSE: Medical images acquired using different scanners and protocols can differ substantially in their appearance. This phenomenon, scanner domain shift, can result in a drop in the performance of deep neural networks which are trained on data acq... read more

An integrated in silico and multi-omics workflow identifies novel microbiota-derived umami peptides and elucidates T1R1/T1R3 binding mechanisms.

Food chemistry Apr 30, 2026

Microbiota-derived umami peptides show strong potential for industrial applications, yet efficient high-throughput screening remains challenging. To address this limitation, this study developed an integrated workflow combining multi-omics analysis w... read more

Artificial Intelligence Medical Compendium