Regulatory Affairs Professionals Society

IMDRF drafts framework on best practices for using AI in medical devices

The International Medical Device Regulators Forum (IMDRF) has released a draft technical document to create a harmonized set of best practices in mitigating risks associated with the use of artificial ...
TheServerSide

AWS Machine Learning Associate Practice Exams

Over the past few months, I have been helping data engineers, developers, and machine learning professionals prepare for the AWS Certified Machine Learning Associate exam. This certification validates ...
RAPS

IMDRF finalizes good machine learning practice, software risk documents

IMDRF finalizes good machine learning practice, software risk documents The International Medical Device Regulators Forum (IMDRF) on Wednesday finalized two highly anticipated technical documents ...
JD Supra

Medical Devices updates: Annual performance report, new guiding principles for PCCPs for machine learning-enabled medical devices, and regulatory enrolment processes

In September 2023, Health Canada published the Medical Devices Directorate Performance Annual Report for April 1, 2022, through March 31, 2023. The report provides detailed metrics about the ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
National Academies of Sciences%2c Engineering%2c and Medicine

Machine Learning for Safety-Critical Applications: Opportunities, Challenges, and a Research Agenda

As discussed in Chapter 3, extending safety engineering to cyber-physical systems that include artificial intelligence (AI) components brings a new set of challenges that suggest changing how this ...

Proposed AI evidence rule highlights new challenges for federal practitioners

Jonathan D. Uslaner and Matthew Goldstein of Bernstein Litowitz Berger & Grossmann LLP examine the proposed new Federal Rule ...
ascopubs.org

Artificial Intelligence and Machine Learning Innovations to Improve Design and Representativeness in Oncology Clinical Trials

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...
sciencex

Advancing scalability, efficiency, and reliability of over-parameterized machine learning models

Salar Fattahi has been awarded a $406,825 grant from the Office of Naval Research (ONR) for his project titled "Understanding Implicit Regularization of Gradient-based Algorithms in Over-Parameterized ...