Proteotype Unveils Alchemi Platform for Enlighten Cancer Test
Proteotype Diagnostics said in a press release that it has unveiled Alchemi®, a data and clinical workflow platform being developed for Enlighten®, its investigational blood test for multiple cancers.
Alchemi is designed to connect laboratory measurements, multi country clinical data, and healthcare workflows. The platform will standardise measurements, govern analytical and machine learning workflows, and generate traceable outputs for clinicians. It is also intended to support interoperability with laboratory and health record systems through HL7 FHIR and SNOMED CT.
The 15 month program begins on September 1, 2026, and is supported by about €499,000 from the European Innovation Council Pre-Accelerator. The funding will support machine learning optimization, data harmonisation across countries, clinician interface work, interoperability, cloud security, and documentation for medical software lifecycle and quality systems.
Proteotype said its MODERNISED and INNOVATOR studies are expanding the clinical evidence for Enlighten. Development will be led from the company’s Torres Vedras site, where it is recruiting for software engineering, data engineering, cybersecurity, and healthcare integration roles.
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
Sep 28 Deep Longevity to Launch Accrua Telehealth Platform in US Sep 28 United Imaging Intelligence Releases Medical Video AI Framework Sep 28 Orca Dental AI Brings CephX Imaging Tools to Planet DDS Cloud 9 Sep 28 AINGENS Warns AI Tool Fragmentation Complicates Medical Affairs Work Sep 28 Blue Cross Analysis Links Hospital AI to $942 Million in Added CostsLife 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
Inductive Bio launches Beacon-2 to predict human drug doses
Aignostics Opens Early Access to PathoSearch
Linearis Joins Two Canadian AI Health Data Projects
Basecamp Research Raises $140 Million for AI Designed Therapeutics
Medibyt Gets FDA Clearance for CPETWise Cardiopulmonary Test Software
Daily AI Brief: the AI news that matters, in your inbox.