Lab of the Future – News and Features

Explore how advanced AI models enhance skin cancer diagnostics and facilitate early detection of melanoma through patient metadata analysis.

A new study, published in Nature, reveals a conserved genetic region that preserves species history through waves of gene flow and may be crucial to the development of some common X-linked diseases.

Researchers from the University of Queensland and Illumina analyzed DNA from 347,630 UK Biobank participants to determine how genes influence human traits. The study found that genetics explain roughly 30% of trait variation on average.

AI tools are reshaping how labs handle compliance, from automating audit trails to improving data reuse and accuracy. In this article, we examine how the rise of AI is transforming compliance and how users can stay informed.

Scientists have developed HT-PELSA, a high-throughput tool that rapidly detects protein–ligand interactions across hundreds of samples daily. By automating the original PELSA workflow, it offers new insight into membrane proteins and drug targets.

Researchers in Vienna have developed CellWhisperer, an AI system that links gene activity with biological text, allowing scientists to “chat” with cellular data. Trained on 20,000 studies, it interprets genetic patterns and offers biological context.

Scientists from the Human Protein Atlas created a pan-disease blood atlas that maps thousands of proteins across 59 diseases and over 8,000 people. The study reveals distinct protein fingerprints for each condition.

Immuto Scientific’s structural surfaceomics platform reveals how wild-type proteins adopt disease-specific shapes that drive pathology. Immuto identifies previously invisible drug targets and designs conformation-selective therapies.

Researchers have developed an actionable roadmap to reduce the environmental impact of the large data centers needed to power the AI boom.

New study reveals a structural association between circulating microclots and neutrophil extracellular traps (NETs) in patients with long COVID.