Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Machine learning is at the forefront of detecting the impacts of climate change. Researchers utilize AI to identify patterns ...

More information: Jason Wu et al, Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model, Human Gene Therapy (2025). DOI: 10.1089/hum.2024.227 Provided ...

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

In a new study published in Nature titled, “ Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard ...

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions. A team of artificial intelligence engineers, in ...

They first used an initial round of machine learning modeling to generate a new moderately sized library, called Fit4Function, which contained capsids that were predicted to package gene cargo well.

Machine Learning-Based IR Drop Prediction Approach. February 25th, 2025 - By: Technical Paper Link. A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation ...

A new study in the peer-reviewed journal Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in vitro experiments. This in silico approach ...