How Much Can Machine Learning Be Used in HPLC Method Development? - Method 'Understanding' and ICH Q14

Hello.This is Pharmer.In this article, I will organize how much machine learning can be used in HPLC method development from ...

What are Machine Learning and Deep Learning?

Machine learning is a mechanism where computers learn patterns from data instead of humans writing instructions step by step.
Newswise

Organic Chemists Harness AI to Reveal Reaction Secrets - a New Method Uses Machine Learning to Extract Reaction Speeds From Yield Data Obtained During Rea…

Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions ...
BIOENGINEER

Machine Learning Cracks the Vast Code of High-Entropy Catalysts

A new review in the Journal of Materials Science maps how machine learning, from graph neural networks to large language models, is accelerating the design of high-entropy alloy catalysts across vast ...
Nature

Feature Selection Techniques in Machine Learning Systems articles from across Nature Portfolio

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
Medical Xpress

Integrating machine learning with statistical methods enhances disease risk prediction models

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
Phys.org

Machine learning method improves accuracy of inverse protein folding for drug design

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. Inverse protein folding is a critical ...
BIOENGINEER

New Contribution Scoring Method Boosts Federated Learning Accuracy

Researchers in India have developed ASHA, a federated learning algorithm that weights each client's updates by a dynamic ...

Machine learning system can identify cancer cells based on how they scatter light

Cytological tests are a common method of screening for cancer cells in stained cell samples. Using a microscope, pathologists examine cells collected from bodily fluids, looking for telltale signs of ...
Nature

Machine Learning Techniques for Climate Data Downscaling articles from across Nature Portfolio

Earth System Models (ESM) are our main tool for projecting the impacts of climate change. However, running these models at sufficient resolution for local-scale risk-assessments is not computationally ...
asce.org

Machine Learning, Wetlands, and Nature-Based Solutions for Coastal Engineering

This presentation explores how machine learning can be used to model storm surge hazards at continental and global scales. Participants will learn why broadscale storm surge information is important ...
RFID Journal

How RFID and Machine Learning Stop Tool Theft on Construction Sites

How RFID and machine learning stop tool theft on construction sites, cutting $1 billion in annual losses through digital perimeters and predictive AI.