Datar Cancer Genetics Receives FDA Clearance for CellDx Tissue Genomic Test
Datar Cancer Genetics has received clearance from the U.S. Food and Drug Administration for its CellDx Tissue assay, announced in a press release. The comprehensive genomic profiling test is designed for use with solid tumor samples and uses targeted next generation sequencing of DNA and RNA to support clinical decision making.
CellDx Tissue analyzes 517 cancer associated genes, identifying somatic single nucleotide variants, small insertions and deletions, ERBB2 gene amplification, and gene fusions involving ALK, RET, and ROS1. The test is performed at the company’s CAP and CLIA accredited laboratory and is intended to provide standardized genomic information for oncologists.
The FDA clearance follows earlier Breakthrough Device Designations granted to Datar Cancer Genetics for its liquid biopsy platforms. The company stated that the clearance strengthens its ability to collaborate with clinical, academic, and biopharmaceutical partners in research and biomarker development programs.
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
Oct 16 Attilio appoints Buck Institute CEO Eric Verdin as cochairman Oct 16 Aignostics launches HETA Clinical for pathology workflows Oct 16 Specialty1 Partners Invests in AI for Dental Practice Operations Oct 15 Study Tracks 270 Million Clinical AI Queries on OpenEvidence Oct 15 OpenAI Offers US University Labs Free GPT-Rosalind AccessLife 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
Lunit and Discovery Life Sciences Partner on AI Tissue Analysis
Astrin Names Medical Director as Certitude Breast Expands Nationwide
FDA Clears Nutshell Therapeutics' NRF2 Degrader NTS231
Aignostics launches HETA Clinical for pathology workflows
NAVER D2SF Backs ImpriMed in $10 Million Bridge Round
Daily AI Brief: the AI news that matters, in your inbox.