AI Medical Compendium

Integrated genomic profiling identifies predictive biomarkers for neoadjuvant therapy response in Chinese breast cancer patients.

Cancer letters Apr 12, 2026

Neoadjuvant therapy (NAT) has emerged as a standard treatment strategy for locally advanced breast cancer (BC), yet robust biomarkers for response prediction remain elusive. Here, we established a real-world NAT cohort of 1161 Chinese BC patients, in... read more

Learning to take it personally: Precision drug repurposing through patient-specific loss on knowledge graphs using Biobank data.

Journal of biomedical informatics Apr 12, 2026

OBJECTIVE: Precision medicine requires drug repurposing methods that adapt to individual patient profiles while working within regulatory frameworks. Existing approaches apply uniform models to all patients, only using individual factors as inputs or... read more

Foundation models for brain imaging: A systematic review.

NeuroImage Apr 12, 2026

Foundation models (FMs), large neural networks pretrained on extensive and diverse datasets, have revolutionized artificial intelligence and demonstrated significant promise in medical imaging by enabling robust performance with limited labeled data.... read more

Biomarkers discovery of diabetic retinopathy through serum metabolomics - Retinal image association analysis with machine learning.

Experimental eye research Apr 12, 2026

The aim of this study is to develop an innovative method of machine learning combining metabolomic and radiomic analyses for identifying biomarkers to distinguish diabetic retinopathy (DR) patients, non-retinopathy diabetic (NDR) patients and healthy... read more

Chatbot Responses to Frequently Asked Questions About Cannabis and Its Use for Cancer Symptoms.

Journal of pain and symptom management Apr 12, 2026

CONTEXT: Chatbots are increasingly used by the public, but their performance in answering questions about complex health topics, such as cannabis, is unknown. OBJECTIVES: To evaluate responses of three popular chatbots regarding cannabis and its use ... read more

Construction and optimization of machine learning models based on remote sensing inversion of NH3-N and TP pollution in the Qiantang River Basin, China.

Environmental research Apr 12, 2026

Rapid industrialization, urbanization, and intensive agriculture have worsened river basin water pollution globally, including in China. Traditional water pollution monitoring, though widely used, is time-consuming, limited in coverage, and lacking i... read more

Beyond Linearity: Transfer Learning Reveals Optimal Biochar Surface Area Window and Suggests Potential Syntrophic Mechanisms in Food Waste Co-Digestion.

Bioresource technology Apr 12, 2026

UNLABELLED: Anaerobic co-digestion of food waste and paper mill wastewater offers a sustainable waste-to-energy solution, but performance instability limits its efficiency. While biochar (BC) is a promising additive, the specific surface area (SSA) r... read more

Personalized neoantigen cancer vaccines: Why clinical benefit remains inconsistent.

Critical reviews in oncology/hematology Apr 12, 2026

Personalized cancer vaccines have re-emerged as a promising strategy in precision immunotherapy, driven by advances in tumor sequencing, neoantigen identification, and vaccine delivery platforms. Early-phase clinical trials have consistently demonstr... read more

Molecular polarizability as the universal driver of HPAH fate: Evidence from DFT-validated machine learning.

Journal of hazardous materials Apr 12, 2026

A DFT-explainable machine-learning (DFT-XML) strategy integrated with an active learning mechanism was proposed and validated to connect quantum-level molecular properties with macroscopic environmental behaviors of halogenated polycyclic aromatic hy... read more

AI-driven Cu/Mn-CeO2 nanozyme-functionalized paper-based biosensor for quantitative monitoring of alternariol in food.

Food chemistry Apr 12, 2026

The lack of rapid, user-friendly methods for alternariol (AOH), a prevalent emerging mycotoxin, presents a considerable analytical challenge. This work introduces an integrated sensing strategy advancing from classical homogeneous liquid-phase detect... read more

Artificial Intelligence Medical Compendium