LASARRUS Secures Three New U.S. Patents Powering the WearME Respiratory Platform

This Thanksgiving season, the LASARRUS team is celebrating a major milestone in our journey to transform respiratory care. Over the past few months, we have achieved three new U.S. patent wins that strengthen the core technology behind our WearME system and Telehealth-IoT platform for respiratory analysis.

These patents build on our earlier protection for a Wearable Multi-Modal System for Remote COPD Monitoring (US 12,148,525 B2), further expanding the intellectual property foundation for next‑generation, AI‑enabled respiratory care.

1. Bilateral Acoustic Sensing for Predicting FEV1/FVC

Our newly allowed U.S. patent application, “Bilateral Acoustic Sensing for Predicting FEV1/FVC” (Appl. No. 18/629,640), protects a system that uses bilateral chest acoustic sensors and a machine learning–enabled remote server to estimate lung function metrics traditionally obtained only with spirometry.

By extracting passive acoustic features such as respiratory rate, inhalation and exhalation durations, etc., the system predicts FEV₁ and FVC values using a model trained on spirometry data.

In practical terms, this means bringing spirometry‑like insights directly into the home-turning WearME into a powerful tool for remote lung function monitoring.

2. Smart Multi-Modal Telehealth‑IoT System for Respiratory Analysis

Our second patent, US 12,476,006 B2 – “Smart Multi-Modal Telehealth‑IoT System for Respiratory Analysis”, covers the end‑to‑end Telehealth‑IoT architecture that underpins WearME.

The system uses a meshed body area sensor network embedded in clothing to measure full torso range of motion, muscle sounds, and physiological vital signs, with data streaming through a gateway node to secure cloud services.

On the analytics side, the patent protects a multi‑modal AI pipeline that combines convolutional neural networks, generative adversarial networks, and data‑fusion logic to classify respiratory illnesses, including COVID‑19, asthma, pneumonia, lung inflammation and other conditions, using cough and breathing sounds alongside physiologic signals.

This Telehealth‑IoT backbone is what allows LASARRUS to move from raw sensor data to clinically meaningful insights in real time.

3. Energy‑Efficient Collection of Wearable Sensor Data

Finally, US 12,482,560 B2 – “Energy‑Efficient Collection of Wearable Sensor Data” focuses on making long‑term, continuous monitoring truly practical.

The patent describes a sample prediction–based energy optimization (SPEO) technique in which each WearME sensor node uses a long short‑term memory (LSTM) model to predict upcoming data samples and skip transmissions when the difference between predicted and actual values is below a modality‑specific threshold. It also covers optimized packet formation and adaptive quantization, minimizing bandwidth and energy use while maintaining high‑fidelity physiological signals like acoustic waveforms.

The result: dramatically extended battery life and improved wireless efficiency, enabling comfortable, lightweight wear for patients and scalable deployment for health systems.

Building the WearME Commercialization Path

Together, these three patents protect every layer of the WearME ecosystem, from sensing (bilateral acoustic lung function), to system architecture (Telehealth‑IoT and multi‑modal AI), to energy‑efficient data collection. They join our earlier COPD monitoring patent to create a robust IP portfolio that supports regulatory pathways, payer discussions, and strategic partnerships as we move toward commercialization.

A Thanksgiving Message

This Thanksgiving, we are especially grateful for:

• Our inventors and engineering teams,

• Our clinical collaborators and the patients who continue to trust us with their data,

• Our partners at the University of Maryland Carey School of Law’s MIPLRC/IPEC for their incredible IP support,

• And the broader LASARRUS community cheering us on.

  
  

From all of us at LASARRUS Clinic and Research Center, thank you for being part of this journey to deliver smarter, more accessible respiratory care.

Happy Thanksgiving from the LASARRUS family to yours. 🦃🍂