Nucs AI and AstraZeneca Collaborate on AI Response Prediction for Radioconjugate Research

May 29, 2026
Nucs AI has announced a collaboration with AstraZeneca to develop AI models that predict patient response to PSMA-targeted radioconjugate therapies for metastatic prostate cancer.

Nucs AI has announced a collaboration with AstraZeneca to develop AI models that predict patient response to PSMA targeted radioconjugate therapies for metastatic prostate cancer, according to a press release.

The project will focus on adapting and validating predictive imaging algorithms for radioconjugates used in metastatic castration resistant prostate cancer. The models will be tuned to the properties of emerging therapies, building on Nucs AI's existing work in Lutetium based therapy prediction.

The collaboration extends Nucs AI's platform, which includes SelectPSMA for outcome prediction, DeepPSMA for tumor burden quantification, and TrackPSMA for automated treatment response evaluation. These tools form part of the company's precision medicine engine designed to support the development and optimization of therapeutic radioconjugates.

We hope you enjoyed this article

Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.