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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

Sector: Hospital • Location: United Kingdom

Source: Open Contracting Data Standard (OCDS)

Tender
Complete

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 i

Status
Closed
Sector
Hospital
Location
United Kingdom
Updated
3 Nov 2026
Source
Open Contracting Data Standard (OCDS)

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The tender “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” is a tender record in Taiyo, linked to the Hospital sector. It is issued for works, goods, or services related to United Kingdom.

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Not available for this record.

Status

Original status

complete

Taiyo status

Closed

Taiyo last update

2026-11-03

Contact

Not available for this record.

Description

Description

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.

Location

Country

United Kingdom (UK)

Source

Source

Open Contracting Data Standard (OCDS)

URL

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Record type

Tender

Sector

Hospital

Article published date

2026-04-02

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