Preventive Care

Patient acceptability of CITOBOT for cervical cancer screening: A mixed-method study.

This study assessed the acceptability of CITOBOT, a device for early cervical cancer screening in a real-world pilot setting as part of a translational research project aimed at designing and clinically validating a portable, cost-effective device supported by artificial intelligence. The authors adopted the Theoretical Framework of Acceptability for its utility in evaluating patient acceptability...

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-scale virtual screening, drug optimization, and reverse target searching. In this work, we present Graph_RG, our top-performing model in the CASP16 small molecule track's protein-ligand affinity prediction category, achieving a N-weighted Kendall's Tau of 0.42-significantly outperforming other submissi...

Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat.

The N-heptad repeat (NHR) of the HIV-1 gp41 prehairpin intermediate (PHI) is an attractive potential vaccine target with high sequence conservation ac...

Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment for Real-Time Screening of Depression and Anxiety (SWARTS-DA) observational study in Korea.

INTRODUCTION: Depression and anxiety are highly prevalent mental health conditions that significantly affect quality of life and cause societal burden...

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 screening. Paper-based cognitive screening examinations ar...

Cancer vaccines and the future of immunotherapy.

Vaccines have had a major impact on the control of infectious disease, most recently by helping to combat the COVID-19 pandemic. Prophylactic cancer v...

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 bottleneck of traditional scoring functions, many machine l...

Canadian Radiology Update.

Radiology research at Canadian institutions is advancing patient care through multidisciplinary collaboration, technological innovation, and quality i...

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, predicting which antigens a specific antibody bin...

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

The perspective review discusses predictive stability computational modeling and scientific risk-based approaches to prospectively assess long-term st...

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)-enabled CXR interpretation are promising developments...

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 availability of effective prevention through human p...

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 needs of preventing infectious diseases. With the adva...

Machine learning is changing osteoporosis detection: an integrative review.

Machine learning drives osteoporosis detection and screening with higher clinical accuracy and accessibility than traditional osteoporosis screening t...

Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project.

The increasing demand for population-wide genomic screening and the limited availability of genetic counseling resources have created a pressing need ...

Use of natural language processing to identify inflammatory breast cancer cases across a healthcare system.

Early identification and referral of inflammatory breast cancer (IBC) remains challenging within large healthcare systems, limiting access to speciali...

Screening of Biomaterials for Stem Cell Culture Applications.

Stem cells have a considerable role to play in future biomedical breakthroughs due to their therapeutic potential. As stem cells may be studied in a v...

Identification and validation of blood leukocyte DNA methylation biomarkers for early detection of colorectal neoplasm.

BACKGROUND: Identifying high-risk populations for colorectal cancer (CRC) is critical for precise screening. This study aimed to develop a novel risk ...

Interpretable machine learning models for predicting childhood myopia from school-based screening data.

This study assessed the efficacy of various diagnostic indicators and machine learning (ML) models in predicting childhood myopia. A total of 2,365 ch...

A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens.

Identifying protective antigens (PAs), i.e., targets for bacterial vaccines, is challenging as conducting in-vivo tests at the proteome scale is impra...