Why Validation In Life Sciences Can No Longer Be A One-Time Event

Regulators are modernizing their expectations, and it's become clear that validation can no longer function as a point-in-time event.
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
GEN

Machine Learning an Ideal Fit for Process Validation

Validating drug production processes need not be a headache, according to AI researchers, who say machine learning could be a single answer to biopharma’s multivariate problem. The FDA defines process ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization studio built for multimodal time-series with full provenance you can replay “dFL ...
Automation World

Validating Automation Machine Learning Models – The Oracle Problem

One of my more aspirational career goals has been to increase the efficiency of validation testing without lowering the quality. Testing of automated systems is essential to ensure quality in both the ...
TechCrunch

AWS launches new SageMaker features to make scaling machine learning easier

At its annual re:Invent conference, AWS today rolled out a slew of new features for SageMaker, the company’s managed service for building, training and deploying machine learning (ML) models. Swami ...
GEN

Machine Learning for Process Validation

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...