Depressed mice successfully treated with smart contact lenses that zap their brains: New study
medicalxpress - Scientists in South Korea have developed experimental contact lenses designed to send electrical signals through the retina and into brain regions linked to mood. In mice, the technology appeared to improve depression-like behavior.
AI Summary: Preclinical studies report smart contact lenses that deliver tiny electrical signals can reduce depressive-like behaviors in mice, matching effects seen with standard antidepressants. Researchers caution the work is early — promising biologically, but still a long way from fashionable therapeutic eyewear for humans — and will require safety, dosing and translational studies before any clinic-ready hype.
Omid Veiseh: First-in-Human Clinical Trial of IL-2 Cytokine Factories in Refractory Ovarian Cancer
oncodaily - Omid Veiseh, Professor and CPRIT Scholar in Cancer Research at Rice University and Co-Founder and Managing Partner of RBL LLC, shared a post on LinkedIn: “Excited to publish the results […]
AI Summary: A first‑in‑human trial of implantable IL‑2 “cytokine factories” in refractory ovarian cancer reported encouraging early safety and biological activity, offering a localized immune‑stimulation strategy that may boost tumor responses while avoiding systemic toxicity. Investigators described the device‑based platform as a potential option for patients with limited alternatives, pending larger efficacy studies.
FDA clears 1st AI sepsis monitoring tool
Giles Bruce / beckershospitalreview - A tool from tech company Bayesian Health has become the first continuous AI sepsis monitor to gain FDA approval. The solution monitors hospital patients to detect deterioration and flag sepsis early on. The application was developed at Baltimore-based Joh…
AI Summary: Regulators have cleared the first AI‑driven sepsis early‑warning system for clinical deployment, enabling hospitals to use algorithmic alerts to identify patients at risk of deterioration earlier. The clearance opens the door for broader adoption of AI in acute care while renewing debates about clinical oversight, false alarms and integration into existing workflows.