Type
Company
Country
United States
US
Documents
55
through any edge
Papers
55
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Merck & Co., Inc., Rahway, NJ, USA (United States) on the authorship, newest first.
2026-05-29 · 16 authors here
DevelopingPredictive Models by Sharing Predictions– An Investigation of a Federated Learning Approach for ADMETPredictions
2026-05-01 · 9 authors here
Assessing community resilience during the first COVID-19 wave peak in a megacity in eastern China: a cross-sectional study using social media data
2026-05-01 · 10 authors here
D12-03 Machine Learning-based Analysis of Treatment Sequences in Pulmonary Arterial Hypertension in the US
2026-05-01 · 7 authors here
A24-10 A Machine Learning Framework for Early Recognition of Pulmonary Arterial Hypertension Using Electronic Health Record Data
2026-05-01 · 10 authors here
A37-07 Real-world Study of Clinical Characteristics of Patients With Pulmonary Arterial Hypertension
2026-04-08 · 5 authors here
Enhanced Diagnostic Performance Via Large-Resolution Inference Optimization for Pathology Foundation Models
2026-03-17 · 8 authors here
377P Risk prediction for non-small cell lung cancer using longitudinal EMR data: A machine learning model in a national Israeli cohort
2026-01-29 · 13 authors here
AI-assisted fibrosis scoring in MASH: Exploring pathologist decision-making with an SHG-based AI digital pathology tool
2025-12-29 · 3 authors here
Evidence Behind the Automation of Clinical Trial Statistical Programming: A Scoping Review of Technology Adoption, Validation Frameworks, and AI/ML Integration (2020–2025)
2025-12-15 · 7 authors here
Crossing borders securely: synthetic data and federated networks for privacy-preserving access to real-world data and emerging use cases
2025-12-09 · 1 authors here
AI Powered Fraud Detection in SAP S/4HANA Finance
2025-12-01 · 12 authors here
Digital Cytopathology Quality Guidelines
2025-11-20 · 7 authors here
Analysis of article screening and data extraction performance by an AI systematic literature review platform
2025-10-10 · 13 authors here
Early detection of non-small cell lung cancer: an electronic health record data-driven approach
2025-08-29 · 8 authors here
A Bayesian approach towards the identification of latent subgroups
2025-08-19 · 13 authors here
Company Sponsored Platform Trials: Recommendations and Lessons Learned from Cross-Industry Interviews
2025-08-13 · 14 authors here
The Alliance for Continuing Education in the Health Professions’ Position on Artificial Intelligence in CPD
2025-08-07 · 4 authors here
ICU Length of Stay Prediction for Patients with Diabetes Using Machine Learning and Clinical Notes
2025-07-26 · 25 authors here
Towards responsible artificial intelligence in healthcare—getting real about real-world data and evidence
2025-06-25 · 23 authors here
Generative AI: a generation-defining shift for biopharma regulatory affairs
2025-06-03 · 10 authors here
Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks
2025-01-28 · 9 authors here
SpaCE: a spatial counterfactual explainable deep learning model for predicting out-of-hospital cardiac arrest survival outcome
2024-12-01 · 3 authors here
Integrated Disease Chronicity Modeling to Map Longitudinal Biomarker Relationships in Alzheimer’s Disease
2024-10-29 · 13 authors here
Early detection of non-small cell lung cancer using electronic health record data
2024-09-01 · 5 authors here
Barriers and facilitators to implementing imaging-based diagnostic artificial intelligence-assisted decision-making software in hospitals in China: a qualitative study using the updated Consolidated Framework for Implementation Research
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number