Pneumonia

Current State and Impact of Implementation of In-Silico Tools in the Biopharmaceutical Industry - Proceedings of the 6th Modeling Workshop.

The sixth modeling workshop (6MW) was held in June 2025 at Collegeville, Pennsylvania, USA, and supported by the Recovery of Biological Products Conference Series. The goal of the workshop was to assemble modeling practitioners to review and discuss the current state of implementation, progress since the last modeling workshop (5MW) in 2023, gaps and opportunities for development, deployment, and ...

Pre-pandemic preventive healthcare engagement and all-cause excess mortality during COVID-19: a county-level ecological study in the United States.

OBJECTIVE: Community resilience during COVID-19 has been linked to social conditions, public-health capacity, and acute-care resources, but the contribution of pre-pandemic realized preventive-care engagement remains incompletely characterized. We examined whether county-level preventive-care engagement was associated with all-cause excess mortality during the COVID-19 period in the United States....

Neoantigen in cancer immunotherapy: mechanism, therapeutic strategies and future perspectives.

Neoantigens are tumor-specific antigens resulting from genetic, transcriptomic, and proteomic changes, making them a promising avenue for personalized...

Temporal shifts in public perceptions of influenza and its vaccine before, during, and after COVID-19 in a fragile nation.

BACKGROUND: Since the emergence of the COVID-19 pandemic, co-infection with COVID-19 and influenza has been associated with adverse health and economi...

Dissolution of Continuity of Ethical Governance in Data Science Health Research: A Diagnostic and Response Framework for Lifecycle Oversight.

Traditional research ethics governance was designed for bounded protocols, identifiable investigators, and temporally limited encounters with human pa...

Impedance-based particle tracking at micrometer scale with limited training data: a deep learning architecture analysis and optimization framework.

In this study, we present and analyze a deep learning framework designed to achieve real-time particle localization from successive electrical impedan...

Acceptability, Usability, and Clinical Appropriateness of an AI-Powered Tool for Linkage to HIV Services After HIV Self-Testing in South Africa: Mixed Methods Evaluation.

BACKGROUND: Timely linkage to HIV prevention and treatment services following HIV self-testing (HIVST) remains a challenge in many countries. While HI...

Development and clinical validation of a point-of-care cytology screening tool for oral potentially malignant disorders and oral squamous cell carcinoma using a deep learning convolutional neural network: protocol for a diagnostic accuracy study.

INTRODUCTION: Oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) present a remarkable public health challenge worldw...

Risk-aware artificial intelligence for translational vaccine design.

Artificial intelligence has accelerated epitope and antigen discovery, but prediction alone cannot determine vaccine readiness. Translational design r...

Data diversity vs. model complexity in the prediction of pediatric bipolar disorder: Evidence from academic and community clinical samples.

Pediatric bipolar disorder is challenging to diagnose accurately due to symptom heterogeneity. More standardized and data-driven approaches are needed...

Exploring Perceptions of Leveraging AI to Improve Outcomes in Maternal, Sexual, and Reproductive Health in Sub-Saharan Africa: Exploratory Qualitative Study.

BACKGROUND: AI has the potential to transform health care in low- and middle-income countries, where access to quality care remains limited. Maternal,...

Histopathological Differences Between Idiopathic and Secondary Interstitial Pneumonia: An Elastic Fiber-Oriented Deep Learning Analysis.

Fibrotic interstitial lung diseases (ILDs) are classified into histopathological patterns by the idiopathic interstitial pneumonia (IIP) classificatio...

Vendor-Agnostic Multisite Automated Dual-Energy X-Ray Absorptiometry Reporting Using Artificial Intelligence-Based Optical Character Recognition: Impact on Workflow Efficiency and Accuracy.

To evaluate the operational impact and accuracy of a vendor-agnostic, artificial intelligence (AI)-based optical character recognition (OCR) system fo...

Can Anthropic's invisible watermarks curb 'AI slop'? Researchers remain sceptical.

AI alignment in medical imaging: Unveiling hidden biases through counterfactual analysis.

Machine learning (ML) systems for medical imaging have demonstrated remarkable diagnostic capabilities. However, their susceptibility to learning spur...

Somalia's lifeline: Digitalization and AI.

Somalia's fragile health system, strained by decades of conflict, climate shocks, and persistently low immunization coverage, remains dangerously vuln...

Planning the development of an AI-driven decision support architecture for the recognition of sudden cardiac arrest by 9-1-1 telecommunicators: report of a community engagement and brainstorming meeting.

OBJECTIVES: Sudden cardiac arrest is a leading cause of mortality in Canada (40,000 treatable deaths annually). Despite the benefits of 9-1-1 telecomm...

Biologically adaptive radiation oncology in oligometastatic and oligoprogressive disease: MR- and CBCT-guided adaptation, molecular imaging, dose painting, biomarkers, and AI.

Oligometastatic disease (OMD) and oligoprogression are clinically actionable states in which local treatment of limited tumour burden can prolong dise...

Critical Care-Specific vs General-Purpose Large Language Models in Emergency Intensive Care Unit Diagnosis: Single-Center Retrospective Paired Comparative Study.

BACKGROUND: The emergency intensive care unit (EICU) manages the most critically ill patients, where rapid and accurate diagnosis is essential yet cha...

Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms.

BACKGROUND: Anthrax remains a life-threatening zoonotic disease in resource-limited settings. Adsorbed anthrax vaccine (AVA, BioThrax) is the only Uni...