Proteotype Diagnostics Joins EU-Funded HER-CARE Network for Breast Cancer Research
Proteotype Diagnostics has been selected as an industrial beneficiary in the HER-CARE Doctoral Network, a European Union-funded research program focused on hereditary and early-stage breast cancer, announced in a press release. The network is supported by the EU's Horizon Europe programme under the Marie Skłodowska-Curie Actions.
The HER-CARE consortium includes major academic and clinical partners such as Karolinska Institutet, University of Cambridge, the Institute of Cancer Research in London, Institut Gustave Roussy, the Netherlands Cancer Institute, and the Medical University of Vienna. The program aims to integrate genomics, proteomics, imaging, and clinical data science to improve early detection, risk assessment, and treatment strategies.
As part of the project, Proteotype Diagnostics will recruit a doctoral candidate for a three-year PhD focused on developing circulating proteomic biomarkers for early breast cancer detection and prediction of treatment response. The researcher will be employed by Proteotype and enrolled at the Medical University of Vienna under the supervision of Dr. Yen Tan and Dr. Klaus Kratochwill.
The work builds on Proteotype’s proprietary proteomic biomarker platform, which measures amino acid resolved protein signatures in blood samples. The platform has shown potential in detecting early-stage breast cancer and predicting response to cyclin-dependent kinase 4/6 inhibitor therapies. Recruitment for the PhD position is expected to begin in autumn 2026.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Nov 13 Bracco and Avicenna.AI win FDA clearance for AI that flags brain aneurysms on CT scans Nov 13 Zus Health raises $33 million to build the data layer for healthcare AI Nov 13 Google DeepMind releases AlphaGenome 2 to predict DNA variant effects in specific cell types Nov 13 Taiwan hospital accelerator T+ MedIC names AI ECG and CT screening tools as first winners Nov 13 Sheinbaum meets OpenAI president Greg Brockman on AI in Mexican healthcareLife 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 moreYou may also like
BRIGHT Receives €3.7 Million for AI Cancer Microscope
NVIDIA Debuts RFD4-Proteina and Expands Radiotherapy Work
Genedata Adds NVIDIA RFD4-Proteina to Biologics Discovery Workflows
Boehringer Ingelheim and Microsoft to Study Digital Patient Twins
Sophont launches Holon-S1 to predict gene activity from pathology slides
Daily AI Brief: the AI news that matters, in your inbox.