Type
Company
Country
United States
US
Documents
24
through any edge
Papers
24
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Roche (United States) on the authorship, newest first.
2025-12-01 · 11 authors here
Leveraging Large Language Models to Derive Multiple Sclerosis Progression Assessments from Clinical Notes: A Feasibility Study
2025-06-10 · 17 authors here
Roche Digital Pathology Dx whole slide imaging system is comparable to traditional microscopy for primary diagnosis in surgical pathology
2025-05-28 · 6 authors here
Validation of LungFlag Lean machine-learning model to identify individuals with lung cancer using multinational data.
2025-04-14 · 5 authors here
Clustering-Enhanced Multimodal Pre-Training for Histology-Gene Joint Representation Learning
2025-03-06 · 13 authors here
The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection
2025-01-13 · 6 authors here
Concurrent Viewing of H&E and Multiplex Immunohistochemistry in Clinical Specimens
2024-11-21 · 10 authors here
Chatbot for patient education for prenatal aneuploidy testing: A multicenter randomized controlled trial
2024-11-14 · 9 authors here
Digital profiling of gene expression from histology images with linearized attention
2024-04-02 · 3 authors here
A generative AI approach for interference study on chromogenic triplex images
2024-02-08 · 3 authors here
Cluster-based histopathology phenotype representation learning by self-supervised multi-class-token hierarchical ViT
2024-01-01 · 24 authors here
Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP
2023-01-27 · 14 authors here
Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images
2023-01-01 · 7 authors here
Sliding-Bert: Striding Towards Conversational Machine Comprehension in Long Contex
2022-07-25 · 21 authors here
Pathology Education Powered by Virtual and Digital Transformation: Now and the Future
2022-03-28 · 3 authors here
Artifact Identification in Digital Histopathology Images Using Few-Shot Learning
2021-12-28 · 5 authors here
Conventional histological and cytological staining with simultaneous immunohistochemistry enabled by invisible chromogens
2021-10-14 · 3 authors here
Making a science out of preanalytics: An analytical method to determine optimal tissue fixation in real-time
2021-03-17 · 13 authors here
Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association
2021-01-01 · 5 authors here
Selection of Representative Histologic Slides in Interobserver Reproducibility Studies: Insights from Expert Review for Ovarian Carcinoma Subtype Classification
2021-01-01 · 8 authors here
Programmed Cell Death Ligand 1 Pathologist Training in the Time of COVID-19: Our Experience using a Digital Solution
2020-10-27 · 6 authors here
Development of a “meta-model” to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support
2020-04-01 · 2 authors here
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation
2020-01-01 · 3 authors here
Short Keynote Paper: Mainstreaming Personalized Healthcare-Transforming Healthcare through new era of Artificial Intelligence
2020-01-01 · 17 authors here
A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to Patients
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