Regulatory Affairs Professionals Society

This Week at FDA: Reactions to FDA’s Bayesian methods guidance, GDUFA science report, and more

Welcome to another installment of This Week at FDA, your weekly source for updates – big and small – on FDA, drug, and medical device regulation and what we’re reading from around the web. This week, ...

Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Contract Pharma

How AI Is Reshaping Early Drug Development Through a Landmark Partnership

Christine Allen, CEO and Co-Founder of Intrepid Labs, and Andy Lewis, CSO at Quotient Sciences, highlight their strategic ...
Que.com on MSN

AI-guided LNP design for targeted in vivo mRNA delivery

Messenger RNA (mRNA) therapeutics have moved from a promising idea to clinical reality, accelerating vaccine development and ...
Nuclear Engineering International

AI, uncertainty and fusion

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as ...
Phys.org

Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
International Monetary Fund

Nowcasting GCC GDP: A Machine Learning Solution for Enhanced Non-Oil GDP Prediction

This paper presents a machine learning–based nowcasting framework for estimating quarterly non-oil GDP growth in the Gulf Cooperation Council (GCC) countries. Leveraging machine learning models ...
TechSpot

Machine learning just helped researchers create the biggest 3D map of buildings around the world

Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...