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 ...
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 ...
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 ...
BIOENGINEER

Machine learning method dicast spots disease-causing DNA deletions short-read tools miss

Structural variants—large-scale rearrangements of the genome that include deletions, duplications, inversions and insertions ...

How Far Can Machine Learning Be Used for Human Pharmacokinetic Prediction? — Roles of Allometry, PBPK, and Machine Learning

Hello.This is Pharmer.In this article, I will organize how far machine learning can be used for human pharmacokinetics (PK) ...
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 ...
Growing Produce

Machine Learning on the Case to Help Protect Important Pollinators

Researchers have developed a machine learning-based method to identify chemical compounds that can safely repel honey bees from pesticide-treated crops.

The Frontier of Avian Observation Data and Probabilistic Machine Learning

The Frontier of Avian Observation Data and Probabilistic Machine Learning—From Hierarchical Bayes to Causal, Geometric, ...
BIOENGINEER

Machine Learning Reads Tea Leaves’ Chemical Fingerprints to Pinpoint Their Mountain Origins

In the mist-wrapped mountains of Enshi Prefecture in China’s Hubei Province, every tea leaf carries a chemical diary of the ...

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 ...
StreetInsider.com

Python, Statistics, and Machine Learning: 5 Data Science Certificate Programs for Different Skill Levels

Data science brings several skills together. Python helps learners work with data programmatically, statistics provides a way to test assumptions and interpret uncertainty, and machine learning adds ...