Multiomics – News and Features

A new study has revealed genes and cellular pathways that haven’t been linked to Alzheimer’s before, providing new drug targets.

Read how the North African Dementia Registry will use multiomics data to reveal new insights on Alzheimer’s genetic risk.

AI analysis has identified genes that affect nitrogen use efficiency in corn, which could mean cost savings and better crops for farmers.

Liquid biopsies offer a less invasive, yet highly informative, alternative to traditional diagnostic methods. This article examines how liquid biopsies are aiding cancer drug development and guiding treatment strategies.

An AI model called EVE-Vax uses evolutionary, biological and structural information about a virus to predict and design surface proteins likely to occur as the pathogen mutates.

Today, our approach to irAE management is predominantly reactive. Clinical guidelines, while increasingly robust, are designed to detect and treat toxicity after it arises. This framework, though necessary, falls short of what is now possible.

A new computational method brings an ecology-inspired lens to tissue analysis, offering a pipeline to interpret spatial omics data to understand disease progression.

Mapping a tumor's cellular neighborhood in three dimensions could identify potential targets for personalized cancer therapy.

Phenotypic screening has re-emerged as a powerful strategy for identifying drugs based on their observable effects. Discover how phenotypic screening accelerates drug discovery, supports drug repurposing and enables novel therapeutic breakthroughs.

Researchers have developed a CRISPR technique that allows gene editing in trees like poplar without integrating foreign DNA, overcoming regulatory hurdles. This method uses transient transformation, ensuring no permanent DNA alterations.