From Outsourced to Open Source: Denalis R-Driven Transformation in Biometrics
Source category: Submissions & Agencies (SA)
Author collections: Thomas Neitmann
THE COMMUNITY ARCHIVE
Browse practical work on assembling, validating and documenting clinical data for regulatory review. Conference examples reflect their publication date; consult current agency guidance when deciding how an approach applies to a new submission.
622 papers · Showing 101–120
Source category: Submissions & Agencies (SA)
Author collections: Thomas Neitmann
Source category: Poster Presentations
Author collections: Jasperlynn Kao
Source category: Standards Implementation (SI)
Author collections: Sebastià Barceló
Source category: Open Source Technologies (OS)
Author collections: Christian Olsen · Stephen McCawille
Source category: Submission Standards
Author collections: Himanshu Patel · Chintan Pandya
Source category: Submissions & Agencies
Author collections: Ritesh Dhimmar · Raman Bassi
Source category: Submission Standards
Author collections: Sumanjali Mangalarapu
Source category: Machine Learning, AI and Large Language Models
Author collections: Pinku Hooda
Source category: Standards Implementation (SI)
Author collections: Bill Qubeck · Sridhar Vijendra
Source category: Submission Standards
Author collections: Ramesh Potluri
Source category: Real World Evidence and Big Data
Author collections: Rachana Agarwal
Source category: Submission Standards
Source category: Poster Presentations
Source category: Submissions & Agencies
Author collections: Elisabeth Pyle · Madhusudhan Reddy Papasani
Source category: Regulatory Environment
Author collections: Christine Rossin · Randi McFarland
Source category: Submissions & Agencies (SA)
Author collections: Zach Dorman
Source category: Submissions & Agencies
Author collections: Kishore Pothuri
Source category: Submissions & Agencies
Author collections: Saumil Tripathi
Source category: Submission Standards
Author collections: Srivathsa Ravikiran · Sri raghunadh Kakani
Source category: Machine Learning, AI & Large Language Models (ML)