Preventive Care

Graph_RG: Dominating CASP16's Small Molecule Affinity Prediction Subcategory-A Pose-Free Framework for Billion-Scale Virtual Screening.

Protein-ligand interaction prediction is pivotal in early-stage drug development, enabling large-sca...

Advances in vaccine adjuvant development and future perspectives.

Use of highly purified antigens to improve vaccine safety has led to reduced immunogenicity and effi...

AI-driven discovery of brain-penetrant Galectin-3 inhibitors for Alzheimer's disease therapy.

Galectin-3 (Gal-3) has emerged as a critical regulator of neuroinflammation and a promising therapeu...

Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study.

BACKGROUND: Colorectal cancer is now the leading cause of cancer-related deaths among young American...

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study.

BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive screenin...

Cancer vaccines and the future of immunotherapy.

Vaccines have had a major impact on the control of infectious disease, most recently by helping to c...

Innovative technologies and their clinical prospects for early lung cancer screening.

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide, due to lack...

Long-term COVID-19 symptoms and post-vaccination reactions among prolonged COVID-19 patients in the Kurdistan region of Iraq.

Vaccination has long been recognized as the most effective means for disease prevention, yet concern...

Improved Prediction of Drug-Protein Interactions through Physics-Based Few-Shot Learning.

Accurate prediction of drug-protein interactions is crucial for drug discovery. Due to the bottlenec...

Artificial Intelligence-Based Hospital Malnutrition Screening: Validation of a Novel Machine Learning Model.

BACKGROUND: Despite its morbidity, mortality, and financial burden, in-hospital malnutrition remains...

Artificial Intelligence for Chronic Disease Screening in Latin America and the Caribbean: The Diagnostic Potential of Digital Health.

Canadian Radiology Update.

Radiology research at Canadian institutions is advancing patient care through multidisciplinary coll...

Barriers and Enablers Influencing the Implementation of Artificial Intelligence for Diabetic Retinopathy Screening in Clinical Practice: A Scoping Review.

BACKGROUND: Diabetic retinopathy is a leading cause of preventable blindness worldwide. Meanwhile, a...

AbEpiTope-1.0: Improved antibody target prediction by use of AlphaFold and inverse folding.

B cell epitope prediction tools are crucial for designing vaccines and disease diagnostics. However,...

Towards Artificial Intelligence-based Decision Support for Large-scale Screening for Atrial Fibrillation.

Atrial fibrillation is a prevalent cardiac arrhythmia, significantly increasing the risk of stroke, ...

Left ventricular systolic dysfunction screening in muscular dystrophies using deep learning-based electrocardiogram interpretation.

BACKGROUND: Routine echocardiographic monitoring is recommended in muscular dystrophy patients to de...

Predictive Stability in Biopharmaceuticals and Vaccines: Perspectives and Recommendations Towards Accelerating Patient Access.

The perspective review discusses predictive stability computational modeling and scientific risk-bas...

Challenges and Opportunities for Global Cervical Cancer Elimination: How Can We Build a Model for Other Cancers?

Cervical cancer remains a leading cause of cancer-related death among women globally, despite the av...

Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria.

Availability of ultraportable chest x-ray (CXR) and advancements in artificial intelligence (AI)-ena...

Bayesian optimization and machine learning for vaccine formulation development.

Developing vaccines with a better stability is an area of improvement to meet the global health need...

Evaluating large language models for information extraction from gastroscopy and colonoscopy reports through multi-strategy prompting.

OBJECTIVE: To systematically evaluate large language models (LLMs) for automated information extract...