Lantern Laboratory is developing a device platform that utilizes EEG biomarkers to guide pharmacological decisions for administering analgesics and sedatives in operating rooms and intensive care units. This technology aims to facilitate faster and safer awakenings from anesthesia, reduce post-operative neurocognitive dysfunction, and lower the lifetime risk of dementia in surgical patients.
Funding
$560K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Administering analgesics and sedatives in operating rooms and intensive care units relies on subjective assessments, potentially leading to over- or under-dosing. Inconsistent anesthetic depth can result in delayed or unsafe awakenings, increased risk of post-operative neurocognitive dysfunction, and potentially long-term cognitive decline.
Solution
Lantern Laboratory is creating a device platform that uses EEG biomarkers to provide objective, real-time guidance for administering analgesics and sedatives. By continuously monitoring brain activity, the platform helps clinicians optimize drug delivery to achieve the desired level of sedation and analgesia. This approach aims to facilitate faster, safer, and more predictable awakenings from anesthesia. The technology also seeks to minimize the risk of post-operative complications and long-term neurocognitive effects associated with suboptimal anesthetic management.
Target Audience
The primary target audience includes anesthesiologists, intensivists, and other healthcare professionals involved in the administration of analgesics and sedatives in operating rooms and intensive care units.
Features
- Real-time EEG monitoring to quantify brain activity and anesthetic depth
- Proprietary algorithms that correlate EEG biomarkers with drug response
- Integrated display providing clinicians with actionable insights for drug titration
- Automated alerts for deviations from target anesthetic levels
- Data logging and analytics for post-operative review and quality improvement