Nature

Custom CRISPR–Cas9 PAM variants via scalable engineering and machine learning

Here we undertook a scalable protein engineering campaign to deeply profile the contribution of SpCas9 PAM-interacting (PI) domain amino acids to the PAM requirement. By generating experimental PAM ...
Nature

Explainable machine learning model based on EEG, ECG, and clinical features for predicting ...

Early and accurate prediction of neurological outcomes in comatose patients following cardiac arrest is critical for informed clinical decision-making. Existing studies have predominantly focused on ...
GEN

Machine Learning Engineers Bespoke Cas9 Enzymes for Gene Editing

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 Medical ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...