Explore our company resources and materials.

Explore our company resources and materials.

Explore our company resources and materials.

Explore our company resources and materials.

Literature Summary

Surveillance Cut Infections and Costs

Surveillance, targeted screening, and focused contact precautions consistently reduce infection rates and deliver strong returns on investment.

Literature Summary

Surveillance Cut Infections and Costs

Surveillance, targeted screening, and focused contact precautions consistently reduce infection rates and deliver strong returns on investment.

Literature Summary

Surveillance Cut Infections and Costs

Surveillance, targeted screening, and focused contact precautions consistently reduce infection rates and deliver strong returns on investment.

Literature Summary

Surveillance Cut Infections and Costs

Surveillance, targeted screening, and focused contact precautions consistently reduce infection rates and deliver strong returns on investment.

Recent Post

Deployment at Thailand's Largest Military Hospital

Case study

Identifying a Missed Outbreak of Antibiotic Resistance

Research Study

Predicting Viral Infections across Hospitals

Research Study

All resource

All

Literature Summary

Case Study

Report

Research Study

Blog

Podcast

Press

Literature Summary

We Can Now Detect Infections Earlier

Infection risk models using electronic health records can identify infections days before clinical confirmation.

Case Study

Deployment at Thailand's Largest Military Hospital

Deployment and onboarding of our surveillance platform, a high-prevalence setting for infection and AMR. Demonstrated feasibility, adoption, and early clinical impact.

Research Study

Identifying a Missed Outbreak of Antibiotic Resistance

Using patient movement and genomics, a multi-institute outbreak of carbapenem-resistant plasmids was uncovered which was originally unseen.

Research Study

Predicting Viral Infections across Hospitals

Validated predictive models achieved 0.89 AUC-ROC for predicting COVID-19 acquisition among 100,000+ patients across multiple hospitals.

Report

Predicting Viral Infections across Hospitals

Real-time, prospective prediction of MDROs within hospital settings, with sustained accuracy across multiple pathogens, and across time.

Research Study

Network-based Surveillance for COVID-19

Implementation of a hospital-onset COVID-19 infection surveillance system for an acute healthcare setting to target prevention interventions.

Case Study

Forecasting Infection Demand for Hospital Capacity Planning

Forecasted weekly infection surges to support operational planning at Imperial College Healthcare NHS Trust during the pandemic.

Blog

The Case for Predictive Surveillance

Predictive surveillance helps hospitals prevent infections using AI-driven risk forecasting, smarter screening, and targeted infection control strategies.

Blog

Can LLMs turbo-charge IPC?

From Manual Monitoring to Machine-Augmented Insights: How LLMs Are Reshaping Infection Detection and Prevention

Podcast

In conversation with the Lancet: Predicting infections

Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework to predict hospital-onset COVID-19 infections.

Press

Collaboration with Bio-artist Anna Dumitriu

NEX collaborates with Bio-artist Anna Dumitriu and Researchers at Brighton and Sussex Medical school of the use of AI in Infection Prevention and Control

Press

AI Showcase in Singapore

NEX heads off to Singapore as parts of Imperial’s AI venture showcase in Singapore.

Press

Featuring at NEX Scientist Event

NEX features at a new Scientist event in London on artificial intelligence.

Press

Backed by MedTech Supperconnector

NEX receives backing from Imperial’s MedTech Supperconnector, selected as one of four teams across the ecosystem to receive investment.

Press

Transformative Technology Award

NEX wins an Innovate UK transformative technology grant to develop safe and transparent artificial intelligence for use in infection surveillance.

All resource

All

Literature

Case Study

Report

Research Study

Blog

Podcast

Press

Literature Summary

We Can Now Detect Infections Earlier

Infection risk models using electronic health records can identify infections days before clinical confirmation.

Case Study

Deployment at Thailand's Largest Military Hospital

Deployment and onboarding of our surveillance platform, a high-prevalence setting for infection and AMR. Demonstrated feasibility, adoption, and early clinical impact.

Research Study

Identifying a Missed Outbreak of Antibiotic Resistance

Using patient movement and genomics, a multi-institute outbreak of carbapenem-resistant plasmids was uncovered which was originally unseen.

Research Study

Predicting Viral Infections across Hospitals

Validated predictive models achieved 0.89 AUC-ROC for predicting COVID-19 acquisition among 100,000+ patients across multiple hospitals.

Report

Predicting Viral Infections across Hospitals

Real-time, prospective prediction of MDROs within hospital settings, with sustained accuracy across multiple pathogens, and across time.

Research Study

Network-based Surveillance for COVID-19

Implementation of a hospital-onset COVID-19 infection surveillance system for an acute healthcare setting to target prevention interventions.

Case Study

Forecasting Infection Demand for Hospital Capacity Planning

Forecasted weekly infection surges to support operational planning at Imperial College Healthcare NHS Trust during the pandemic.

Blog

The Case for Predictive Surveillance

Predictive surveillance helps hospitals prevent infections using AI-driven risk forecasting, smarter screening, and targeted infection control strategies.

Blog

Can LLMs turbo-charge IPC?

From Manual Monitoring to Machine-Augmented Insights: How LLMs Are Reshaping Infection Detection and Prevention

Podcast

In conversation with the Lancet: Predicting infections

Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework to predict hospital-onset COVID-19 infections.

Press

Collaboration with Bio-artist Anna Dumitriu

NEX collaborates with Bio-artist Anna Dumitriu and Researchers at Brighton and Sussex Medical school of the use of AI in Infection Prevention and Control

Press

AI Showcase in Singapore

NEX heads off to Singapore as parts of Imperial’s AI venture showcase in Singapore.

Press

Featuring at NEX Scientist Event

NEX features at a new Scientist event in London on artificial intelligence.

Press

Backed by MedTech Supperconnector

NEX receives backing from Imperial’s MedTech Supperconnector, selected as one of four teams across the ecosystem to receive investment.

Press

Transformative Technology Award

NEX wins an Innovate UK transformative technology grant to develop safe and transparent artificial intelligence for use in infection surveillance.

All resource

All

Literature

Case Study

Report

Research Study

Blog

Podcast

Press

Literature Summary

We Can Now Detect Infections Earlier

Infection risk models using electronic health records can identify infections days before clinical confirmation.

Case Study

Deployment at Thailand's Largest Military Hospital

Deployment and onboarding of our surveillance platform, a high-prevalence setting for infection and AMR. Demonstrated feasibility, adoption, and early clinical impact.

Research Study

Identifying a Missed Outbreak of Antibiotic Resistance

Using patient movement and genomics, a multi-institute outbreak of carbapenem-resistant plasmids was uncovered which was originally unseen.

Research Study

Predicting Viral Infections across Hospitals

Validated predictive models achieved 0.89 AUC-ROC for predicting COVID-19 acquisition among 100,000+ patients across multiple hospitals.

Report

Predicting Viral Infections across Hospitals

Real-time, prospective prediction of MDROs within hospital settings, with sustained accuracy across multiple pathogens, and across time.

Research Study

Network-based Surveillance for COVID-19

Implementation of a hospital-onset COVID-19 infection surveillance system for an acute healthcare setting to target prevention interventions.

Case Study

Forecasting Infection Demand for Hospital Capacity Planning

Forecasted weekly infection surges to support operational planning at Imperial College Healthcare NHS Trust during the pandemic.

Blog

The Case for Predictive Surveillance

Predictive surveillance helps hospitals prevent infections using AI-driven risk forecasting, smarter screening, and targeted infection control strategies.

Blog

Can LLMs turbo-charge IPC?

From Manual Monitoring to Machine-Augmented Insights: How LLMs Are Reshaping Infection Detection and Prevention

Podcast

In conversation with the Lancet: Predicting infections

Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework to predict hospital-onset COVID-19 infections.

Press

Collaboration with Bio-artist Anna Dumitriu

NEX collaborates with Bio-artist Anna Dumitriu and Researchers at Brighton and Sussex Medical school of the use of AI in Infection Prevention and Control

Press

AI Showcase in Singapore

NEX heads off to Singapore as parts of Imperial’s AI venture showcase in Singapore.

Press

Featuring at NEX Scientist Event

NEX features at a new Scientist event in London on artificial intelligence.

Press

Backed by MedTech Supperconnector

NEX receives backing from Imperial’s MedTech Supperconnector, selected as one of four teams across the ecosystem to receive investment.

Press

Transformative Technology Award

NEX wins an Innovate UK transformative technology grant to develop safe and transparent artificial intelligence for use in infection surveillance.

All resource

All

Literature

Case Study

Report

Research Study

Blog

Podcast

Press

Literature Summary

We Can Now Detect Infections Earlier

Infection risk models using electronic health records can identify infections days before clinical confirmation.

Case Study

Deployment at Thailand's Largest Military Hospital

Deployment and onboarding of our surveillance platform, a high-prevalence setting for infection and AMR. Demonstrated feasibility, adoption, and early clinical impact.

Research Study

Identifying a Missed Outbreak of Antibiotic Resistance

Using patient movement and genomics, a multi-institute outbreak of carbapenem-resistant plasmids was uncovered which was originally unseen.

Research Study

Predicting Viral Infections across Hospitals

Validated predictive models achieved 0.89 AUC-ROC for predicting COVID-19 acquisition among 100,000+ patients across multiple hospitals.

Report

Predicting Viral Infections across Hospitals

Real-time, prospective prediction of MDROs within hospital settings, with sustained accuracy across multiple pathogens, and across time.

Research Study

Network-based Surveillance for COVID-19

Implementation of a hospital-onset COVID-19 infection surveillance system for an acute healthcare setting to target prevention interventions.

Case Study

Forecasting Infection Demand for Hospital Capacity Planning

Forecasted weekly infection surges to support operational planning at Imperial College Healthcare NHS Trust during the pandemic.

Blog

The Case for Predictive Surveillance

Predictive surveillance helps hospitals prevent infections using AI-driven risk forecasting, smarter screening, and targeted infection control strategies.

Blog

Can LLMs turbo-charge IPC?

From Manual Monitoring to Machine-Augmented Insights: How LLMs Are Reshaping Infection Detection and Prevention

Podcast

In conversation with the Lancet: Predicting infections

Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework to predict hospital-onset COVID-19 infections.

Press

Collaboration with Bio-artist Anna Dumitriu

NEX collaborates with Bio-artist Anna Dumitriu and Researchers at Brighton and Sussex Medical school of the use of AI in Infection Prevention and Control

Press

AI Showcase in Singapore

NEX heads off to Singapore as parts of Imperial’s AI venture showcase in Singapore.

Press

Featuring at NEX Scientist Event

NEX features at a new Scientist event in London on artificial intelligence.

Press

Backed by MedTech Supperconnector

NEX receives backing from Imperial’s MedTech Supperconnector, selected as one of four teams across the ecosystem to receive investment.

Press

Transformative Technology Award

NEX wins an Innovate UK transformative technology grant to develop safe and transparent artificial intelligence for use in infection surveillance.

Get Started Today

Join hospitals and health systems already using NEX to stay ahead of infection threats.

Explore the Platform

Get Started Today

Join hospitals and health systems already using NEX to stay ahead of infection threats.

Explore the Platform

Get Started Today

Join hospitals and health systems already using NEX to stay ahead of infection threats.

Explore the Platform

Get Started Today

Join hospitals and health systems already using NEX to stay ahead of infection threats.

Explore the Platform