We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App




Early Sepsis Recognition Platform Could Identify Pre-Symptomatic Patients at POC Using Culture-Free Diagnostic Test

By HospiMedica International staff writers
Posted on 14 Nov 2022

Early sepsis recognition is vital in improving patient prognosis and reducing mortality. Now, a new diagnostic system for early-stage sepsis condition could allow doctors to predict the future appearance and evolution of sepsis within a short period of time and thus, provide a suitable clinical response even before the symptoms arise.

DeepUll (Barcelona, Spain), a biotech company, is creating rapid, affordable and accessible diagnostic solutions with a specific focus on culture-free diagnostics to enable sepsis recognition in pre-symptomatic patients. DeepUll’s technology aims to not only rapidly identify the causative infective agent(s) within a few hours, but will also provide phenotypic antimicrobial susceptibility results, thus reducing the unnecessary use of antimicrobials. The product will also utilize artificial intelligence (AI) to offer seamless medical decision support across all phases of patient management, from early disease recognition, to precise diagnostics, up to therapy guidance.

DeepUll’s first-in-class sepsis recognition platform is designed to detect more than 250 different pathogens and about 15 resistance genes in one hour starting from 10mL of whole blood. The product will generate phenotypic antimicrobial susceptibility results in about eight hours, without requiring a positive blood culture. The product will be a desktop system with end-to-end automation with the aim to be placed in any clinical setting (laboratory, ER, ICU).

“Early identification of sepsis is absolutely crucial to a patient’s prognosis, but the tools caregivers have available today are woefully inadequate,” said Jordi Carrera, Chief Executive Officer and Co-Founder of DeepUll. “Our mission is to change this and this financing will allow us to ramp up our efforts to bring our first-in-class sepsis recognition platform to market.”

Related Links:
DeepUll

Platinum Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
Enteral Feeding Pump
SENTINELplus
OR Table Accessory
Angular Accessory Rail
Autoclave
Advance
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Surgical Techniques

view channel
Image: Miniaturized electric generators based on hydrogels for use in biomedical devices (Photo courtesy of HKU)

Hydrogel-Based Miniaturized Electric Generators to Power Biomedical Devices

The development of engineered devices that can harvest and convert the mechanical motion of the human body into electricity is essential for powering bioelectronic devices. This mechanoelectrical energy... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.