---
title: "715521450 Research into non-invasive assessment of cerebral perfusion in traumatic brain injury using machine learning analysis of continuous trans-cranial Doppler waveforms - a pilot study"
ocid: "ocds-h6vhtk-066b8f"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-066b8f"
markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-066b8f.md"
json_url: "https://d3tenders.com/contract/ocds-h6vhtk-066b8f.json"
source: "Find A Tender Service"
current_stage: "Award"
buyer: "MINISTRY OF DEFENCE"
published: "2026-03-16"
---

# 715521450 Research into non-invasive assessment of cerebral perfusion in traumatic brain injury using machine learning analysis of continuous trans-cranial Doppler waveforms - a pilot study

Buyer: MINISTRY OF DEFENCE  
Current stage: Award  
OCID: ocds-h6vhtk-066b8f

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## Summary

The Ministry of Defence has completed a procurement process for conducting research on the non-invasive assessment of cerebral perfusion in traumatic brain injury using machine learning. The contract was awarded to King's College Hospital NHS Foundation Trust. This initiative falls under the medical education services category and is situated in Lichfield, United Kingdom. The procurement followed a direct method, classified as below threshold without competition, and is currently in the award stage. The contract commenced on 16th February 2026 and will conclude on 31st March 2027. This project is crucial for advancing understanding and management of severe brain injuries, particularly in military contexts.

This tender presents a significant opportunity for businesses and institutions specialising in medical research, especially those focusing on machine learning applications in healthcare. Organisations with expertise in health technology and innovation may find this an ideal avenue for collaboration or support roles. Business growth can be fostered through engagement in groundbreaking research that has the potential to impact both military and civilian healthcare settings positively. Large entities with a robust foundation in medical research, like King's College Hospital NHS Foundation Trust, are particularly well-suited to successfully leverage this contract.

## Notice

Patients with severe brain injury following trauma are at high risk of death and long-term disability. This is particularly important in military settings where some of the standard elements of management available in developed healthcare systems may not be available. One specific area where management is challenging relates to the detection and treatment of brain swelling that typically follows injury. Failure to act on increased brain swelling can lead to a devastating reduction in brain blood flow and a worse outcome for the patient. This project will look to understand early signals of brain swelling in the waveform by using machine learning technique.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Find A Tender Service |
| Latest notice | https://www.find-tender.service.gov.uk/Notice/023749-2026 |
| Notice type | UK7 - Contract Details Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Direct |
| Procurement method details | Below threshold - without competition |
| Tender suitability | Not specified |
| Awardee scale | Large |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 16 Mar 2026 |
| Submission deadline | Not specified |
| Future notice date | Not specified |
| Award date | 16 Feb 2026 |
| Contract period | 16 Feb 2026 - 31 Mar 2027 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | £41,807 |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Complete |
| Awards status | Active |
| Contracts status | Active |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | MINISTRY OF DEFENCE |
| Locality | LICHFIELD |
| Post town | Walsall |
| Postcode | WS14 9PY |
| Country | England |
| ITL 1 | TLG West Midlands (England) |
| ITL 2 | TLG2 Shropshire and Staffordshire |
| ITL 3 | TLG24 Staffordshire CC |
| Local authority | Lichfield |
| Electoral ward | Whittington & Streethay |
| Westminster constituency | Tamworth |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | KING'S COLLEGE HOSPITAL NHS FOUNDATION TRUST |

## CPV Codes

### Divisions

- 80 - Education and training services

### Codes

- 80320000 - Medical education services

## Release History

- 16 Mar 2026 at 17:12 - Award - UK7 - Contract Details Notice - https://www.find-tender.service.gov.uk/Notice/023749-2026

## Documents

- https://www.find-tender.service.gov.uk/Notice/023749-2026
  16th March 2026 - Contract details notice on Find a Tender

## Notice URLs

- https://www.gov.uk/government/organisations/ministry-of-defence
- https://www.legislation.gov.uk/ukpga/2023/54/contents

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-066b8f. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-066b8f.json.