top of page

About Us

Lasarrus

Currently, there are over 16.4 million people in the U.S. who suffer from COPD. Of those, 24% of them will be readmitted to the hospitals due to increased symptoms or severity. At LASARRUS we are creating device-enabled solutions for remote monitoring of Chronic Obstructive Pulmonary Disease (COPD) that is reliable, accurate and easy to use.

  • Facebook
  • LinkedIn

Our Founders

LASARRUS is founded by four brothers with over 50 years of cumulative professional experience, with each bringing a unique value to the success of the company. 

Our Team

Our Advisors

Financial Strategy and Operations Team

AS FEATURED ON

indel_dev.webp
logo_dk.webp
Analog-Devices-800x600-1.png
Terasic_Supplier_Logo.webp
download.png
4ae6e7_fd2690d618cd408f9f17c4ff12562549_mv2_d_4736_3157_s_4_2.webp

We Take Pride In Being The 2018 Intel Design Contest Winners

WearME_Front_v1_edited.png

Intel FPGA Innovation Day

"A master class in FPGA-inspired technology innovation."
Intel_logo_(2006-2020).svg.png

The Possibilities Are Endless

Partners

thumbnail_TidalHealth-Media-Logo.png
logo-300x84.png
UMBC_Retrievers_logo.svg.png
Towson_Tigers_logo.svg.png
NSF.svg.png

Publications & Awards

  • 1. A wearable multi-modal acoustic system for breathing analysis
    Lloyd E. Emokpae, Roland N. Emokpae Jr., Ese Bowry, Jaeed Bin Saif, Muntasir Mahmud, Wassila Lalouani, Mohamed Younis, and Robert L. Joyner Jr. , "A wearable multi-modal acoustic system for breathing analysis", The Journal of the Acoustical Society of America 151, 1033-1038 (2022) https://doi.org/10.1121/10.0009487
  • 2. Smart Multimodal Telehealth-IoT System for COVID-19 Patients
    L. E. Emokpae, R. N. Emokpae, W. Lalouani and M. Younis, "Smart Multimodal Telehealth-IoT System for COVID-19 Patients," in IEEE Pervasive Computing, vol. 20, no. 2, pp. 73-80, 1 April-June 2021, doi: 10.1109/MPRV.2021.3068183.
  • 3. Energy-efficient collection of wearable sensor data through predictive sampling,
    W. Lalouani, M. Younis, I. White-Gittens, R. N. Emokpae, L. E. Emokpae, "Energy-efficient collection of wearable sensor data through predictive sampling," Smart Health, Volume 21, 2021, 100208, ISSN 2352-6483, https://doi.org/10.1016/j.smhl.2021.100208.
  • 4. Blockchain-Enabled and Data-Driven Smart Healthcare Solution for Secure and Privacy-Preserving Data Access,
    M. Younis, W. Lalouani, N. Lasla, L. Emokpae and M. Abdallah, "Blockchain-Enabled and Data-Driven Smart Healthcare Solution for Secure and Privacy-Preserving Data Access," in IEEE Systems Journal, 2021, doi: 10.1109/JSYST.2021.3092519.
  • 5. A Body Area Sensor Network Bio-feedback System, U.S. Patent Application No. 16/861,824
    L. Emokpae, A Body Area Sensor Network Bio-feedback System, U.S. Patent Application No. 16/861,824, Filed, December 2019.
  • 6. Flex Force Smart Glove, U.S. Patent Award No. US10890970B2
    L. Emokpae, Flex Force Smart Glove, U.S. Patent Award No. US10890970B2, Issued on January, 2021.
  • 7. Enabling effective breathing sound analysis for automated diagnosis of lung diseases.
    Lalouani, Wassila et al. “Enabling effective breathing sound analysis for automated diagnosis of lung diseases.” Smart health (Amsterdam, Netherlands) vol. 26 (2022): 100329. doi:10.1016/j.smhl.2022.100329

Contact

1100 Wicomico St Suite 330, Baltimore, MD 21230 USA

301-388-5453

  • Instagram
  • Facebook
  • LinkedIn

Thanks for submitting!

bottom of page