Mr.Chongwei Shi Enhances Genomic Analysis Through Signal Processing and Machine Learning Integration for Gene Identification

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

AI, Genomics, and CRISPR Signal a New Phase of Biological Innovation

Future AI-guided genomic analysis offers the potential to further optimize gene constructs, expression profiles, and performance traits, accelerating the development of next-generation materials.
Healio

Q&A: Machine learning analysis of big data could transform how PCOS defined, managed

Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...
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 ...
Technology Networks

Computational Tool Identifies Host-Microbe Signatures in Cancer Genomic Data

Do microorganisms truly reside in tumors, or do the samples become contaminated before sequencing occurs? A new computational ...
Technology Networks

How Machine Learning Is Reshaping Drug Discovery

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Quanta Magazine

Fed on Reams of Cell Data, AI Maps New Neighborhoods in the Brain

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.
Chemistry World

Google’s AlphaGenome deep learning model wants to do for DNA what AlphaFold did for proteins

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...
ascopubs.org

Machine learning–based classification of cancer types using genomic profiling data from the Australian Molecular Screening and Therapeutics (MoST) program.

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...