Talking patient stratification for immunotherapies and imaging agents, investigating PD-L1, and the work of the ICR.

Researchers have used an artificial intelligence model to analyse the metabolites of patients with or without ovarian cancer and have reported shocking accuracy of diagnosis.

Multi-modal signatures in healthcare combine data from various sources for improved diagnosis and treatment. While offering comprehensive insights, challenges like data integration and ethical concerns need addressing.

Digital biomarkers, collected from wearables and apps, are reshaping patient-centered healthcare with real-time insights and personalized care. Challenges like data privacy and interoperability require collaboration between healthcare, tech, and regulators for full integration.

Jasmine Plummer is Director of the Centre for Spatial Omics at St Jude Children’s Research Hospital. We spoke to her about her work in new genomic technologies for disease treatment and development ahead of her opening keynote presentation at NextGen Omics US and Synthetic Biology US 2024.

Envisioning a future where spatial technologies pave the way for more accurate diagnoses, targeted treatments, and ultimately, improved patient outcomes. Download our eBook today!

Advancements in biosensors, notably graphene-based ones, show promise in swiftly identifying elusive lung cancer biomarkers, potentially revolutionising early diagnosis.

While the landscape for spatial transcriptomics technologies is booming, it could face a bottleneck similar to that seen in scRNA-seq.

On-Demand Webinar with Aditya Pratapa, Senior Data Scientist & Amélie Viratham at Akoya Biosciences

Here, we speak to Matthias von Herrath about Biomarkers US 2023 and some current trends in the industry concerning research and technological development.

Here, we speak to UT Southwestern’s Shuang Liang about monitoring TREM2 as a non-invasive diagnostic biomarker for NASH.

CRISPR-based animal models expedite drug development by enhancing accuracy, replicating human physiology, reducing time and cost, aiding in predicting treatment efficacy, and addressing safety concerns in clinical trials.