Sera Prognostics Joins ARPA-H Program to Develop Point of Care Birth Diagnostic
Sera Prognostics has joined a research collaboration led by University of California San Diego and Allegro MicroSystems, supported by up to 10.4 million dollars from ARPA-H. The goal is to create a point of care diagnostic test that improves safety during labor and delivery, announced in a press release.
The project is part of ARPA-H's Making Obstetrics Care Smart program and focuses on developing a diagnostic tool that can evaluate the risk of low fetal oxygen levels, or fetal hypoxia, using a small maternal blood sample. The test aims to provide clinicians with timely and objective data to support intervention decisions.
Sera Prognostics will contribute its expertise in protein biomarker discovery and validation to identify biomarker signatures linked to placental dysfunction, fetal stress, or hypoxia risk. The research team plans to integrate these biomarkers into a rapid testing platform designed for use during childbirth.
The collaboration seeks to advance maternal and neonatal care by enabling more precise, data supported decision making during labor.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Sep 29 Efficient Computer Raises $97 Million to Scale Its Processors Sep 29 HumanTronik Acquires CloudMoyo for Microsoft Enterprise AI Services Sep 29 Motorola Solutions Acquires AI Video Analytics Company DeepNeuronic Sep 29 Reco Raises $55 Million for AI Agent Security Platform Sep 29 OpenAI Offered $100 Million to Hugging Face Before NVIDIA DealMore from Life Sciences
Sep 29 Truven launches MarketScan Snapshot for healthcare data checks Sep 29 Omega Healthcare Wins Gold in 2026 AI Breakthrough Awards Sep 29 Phylo Launches Target Atlas for Drug Target Prioritization Sep 29 ChromAgeNet Detects Aging Signs in Blood Stem Cell Images Sep 29 Axxess Partners With Eazewell for Hospice Family SupportLife 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
QC Healthcare Partners With Sanguina for AI Blood Health Screening
ARPA-H Awards UpDoc Up to $9.2 Million for Clinical AI
HealthIQ Solutions and Eirion.ai Partner on Predictive AI for Remote Care
Linearis Joins Two Canadian AI Health Data Projects
NAVER D2SF Backs ImpriMed in $10 Million Bridge Round
Daily AI Brief: the AI news that matters, in your inbox.