Neuraxpharm and mjn-neuro to Launch AI Wearable for Early Seizure Detection
Neuraxpharm and mjn-neuro announced in a press release plans to launch EPISERAS, a digital health solution that uses artificial intelligence to predict the risk of epileptic seizures in real time.
EPISERAS is a non-invasive medical device that continuously records brain activity through a discreet earpiece sensor. The system analyses electrical patterns in the brain using AI algorithms to identify when a seizure is likely to occur and sends alerts minutes in advance when the risk is high.
The device connects to a mobile application that displays seizure-risk data and notifications for patients and caregivers. It is designed for individuals with drug-resistant epilepsy, providing a proactive monitoring tool to improve safety in daily life.
EPISERAS has received CE and UKCA certification as a Class IIa medical device in Europe. A multicentre clinical study, SERAS-Home_RWD, is currently being conducted across Spain, the UK, and Germany to further validate the technology.
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 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
CIPRA.ai and Murata Explore AI Wearables for Chronic Care
Theranica AI Predicts Next Day Migraine Risk With 91.2% Precision
Awear Unveils Personal AI Platform for Smart Glasses
ZBeats Receives FDA Clearance for 14 Day ECG Analysis
Everise Deploys Sanas Speech AI to 15,000 Healthcare Support Agents
Daily AI Brief: the AI news that matters, in your inbox.