AI Medical Compendium

Hybrid lightweight vision transformers with attention mechanism for feature extraction and classification of product designs.

PloS one Mar 3, 2026

In modern consumer markets, product packaging strongly influences customer attention and buying decisions. Attractive and informative designs help brands stand out in competitive environments. Recently, Artificial Intelligence (AI) has been widely us... read more

Integrated CTC Enrichment and Dual-Responsive Nanoprobe Identification Enable Intelligent Liquid Biopsy-Based Cancer Diagnosis.

ACS sensors Mar 3, 2026

This work addresses the challenge of accurately identifying living circulating tumor cell (CTC) from contaminating leukocytes by developing a novel, fixation-free dual-marker sensing strategy that preserves cell viability and biomolecular integrity f... read more

Unified protein-small molecule graph neural networks for binding site prediction.

Proceedings of the National Academy of Sciences of the United States of America Mar 3, 2026

Predicting small molecule binding sites on proteins remains a key challenge in structure-based drug discovery. While AlphaFold3 has transformed protein structure prediction, accurate identification of functional sites such as ligand binding pockets r... read more

Global analysis of protein degradation reveals instability of diverse regulators in Escherichia coli.

Proceedings of the National Academy of Sciences of the United States of America Mar 3, 2026

Regulated protein degradation underlies the timely execution of essential gene expression programs in bacteria. Here, we deployed time-resolved chemoproteomics, text mining of the PubMed and EcoCyc knowledge bases, and machine learning classification... read more

Machine-Learning Interatomic Potentials Achieving CCSD(T) Accuracy for Systems with Extended Covalent Networks and van der Waals Interactions.

Journal of chemical theory and computation Mar 3, 2026

Machine-learning interatomic potentials (MLIPs) enable large-scale atomistic simulations at moderate computational cost while retaining ab initio accuracy. In recent years, MLIPs trained on coupled-cluster data─particularly CCSD(T), which includes si... read more

AI-Assisted Lung Sliding Detection in Point-of-Care Ultrasound by Marine Corps Corpsmen: A Multi-Reader Study.

Journal of special operations medicine : a peer reviewed journal for SOF medical professionals Mar 3, 2026

BACKGROUND: Artificial intelligence (AI) has the potential to address training limitations and inter-operator variability that constrain the use of lung ultrasound (LUS) in austere and prehospital settings. This pilot study evaluated whether AI-based... read more

[Environmental medicine and AI, migration, and emerging and reemerging diseases in Mexico].

Revista medica del Instituto Mexicano del Seguro Social Mar 3, 2026

Mexico is facing an increasingly challenging health scenario, marked by the resurgence of emerging and re-emerging diseases. This rise is linked to factors such as climate change, unregulated urban development, and massive, uncontrolled migration flo... read more

Exploring the impact of reimbursement ratios on willingness to vaccinate: A mixed-effects modeling approach using panel data.

Human vaccines & immunotherapeutics Mar 3, 2026

Vaccination remains one of the most cost-effective methods for disease prevention. However, utilization of self-paid vaccines, including EV71, varicella, influenza, and DTaP-IPV-Hib in this study, remains insufficient among children under six in Chin... read more

Neoadjuvant Systemic Therapy in Kidney and Bladder Cancer: Current Evidence and Emerging Paradigms.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting Mar 3, 2026

Neoadjuvant systemic therapy has emerged as a strategy to improve outcomes in high-risk localized genitourinary malignancies. In bladder cancer, neoadjuvant cisplatin-based chemotherapy with or without immunotherapy is standard of care, with patholog... read more

Multimodal Wearable Sensor-Based Stress Detection: Machine Learning Pipeline with Systematic Feature Selection and Key Biomarker Insights.

Biomedical physics & engineering express Mar 3, 2026

The increasing awareness of stress-related health impacts has driven demand for accurate, non-invasive stress detection methods, particularly those leveraging wearable sensors. While multimodal sensing approaches have shown promise in enhancing menta... read more

Artificial Intelligence Medical Compendium