MedPath

Newcastle University

Newcastle University logo
🇬🇧United Kingdom
Ownership
Private
Established
1963-08-01
Employees
5K
Market Cap
-
Website
http://www.ncl.ac.uk

Clinical Trials

60

Active:1
Completed:34

Trial Phases

5 Phases

Phase 1:2
Phase 2:1
Phase 3:1
+2 more phases

Drug Approvals

0

Drug Approvals

No drug approvals found

This company may not have drug approvals in our database

Clinical Trials

Distribution across different clinical trial phases (42 trials with phase data)• Click on a phase to view related trials

Not Applicable
35 (83.3%)
Phase 4
3 (7.1%)
Phase 1
2 (4.8%)
Phase 2
1 (2.4%)
Phase 3
1 (2.4%)

In This Study, we Are Testing Whether Combining Two Interventions, in the Early Stages of Tinnitus, is More Effective in Quieting Tinnitus Than Using One Treatment Alone in the Later Stages of Tinnitus

Not Applicable
Not yet recruiting
Conditions
Tinnitus
Acute
First Posted Date
2025-08-17
Last Posted Date
2025-08-17
Lead Sponsor
Newcastle University
Target Recruit Count
80
Registration Number
NCT07128004

The Effect of Huel on Markers of Inflammation

Not Applicable
Active, not recruiting
Conditions
4 Weeks Supplementation of Huel Ready to Eat Foods
First Posted Date
2025-07-03
Last Posted Date
2025-07-03
Lead Sponsor
Newcastle University
Target Recruit Count
30
Registration Number
NCT07049874
Locations
🇬🇧

Faculty of Medical Sciences, Newcastle Upon Tyne, Tyne and wear, United Kingdom

Patient Engagement Investigation of NMS Assist

Not Applicable
Not yet recruiting
Conditions
Parkinson Disease
First Posted Date
2025-06-26
Last Posted Date
2025-06-26
Lead Sponsor
Newcastle University
Target Recruit Count
30
Registration Number
NCT07038486

Bioavailability Trial

Not Applicable
Completed
Conditions
Absorption, Metabolism and Excretion in Healthy Volunteers
Bioavailability and AUC
First Posted Date
2024-11-13
Last Posted Date
2024-11-13
Lead Sponsor
Newcastle University
Target Recruit Count
8
Registration Number
NCT06686004
Locations
🇬🇧

Nutrtition Suite, DMBB Newcastle University, Newcastle Upon-Tyne, Tyne and Wear, United Kingdom

Neuromuscular Fatigability in Individuals With Heart Failure

Not Applicable
Not yet recruiting
Conditions
Heart Failure With Reduced Ejection Fraction
First Posted Date
2024-08-13
Last Posted Date
2025-03-25
Lead Sponsor
Newcastle University
Target Recruit Count
28
Registration Number
NCT06551012
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News

Eight Healthy Babies Born in Britain Using Three-Person DNA Technique to Prevent Mitochondrial Disease

Eight healthy babies were born in Britain using an experimental technique that combines DNA from three people to prevent mothers from passing devastating mitochondrial diseases to their children.

Linear Diagnostics Secures £1M to Advance 5-Minute STI Diagnostic Test

Linear Diagnostics has received £1 million in NIHR funding to develop a rapid diagnostic test that can detect sexually transmitted infections in as little as five minutes using their Exponential Amplification technology.

Newcastle University Researchers Identify Novel CD30-Targeting Combination Therapy to Overcome Immune Checkpoint Blockade Resistance in Melanoma

Newcastle University scientists led by Dr. Shoba Amarnath have discovered why over 60% of cancer patients fail to respond to immune checkpoint blockade therapy, identifying regulatory T cells as key drivers of resistance.

Newcastle University Spin-Out FibroFind Acquired by Vespa Capital to Accelerate Fibrosis Drug Development

FibroFind, a Newcastle University spin-out specializing in fibrotic disease drug development, has been acquired by private equity firm Vespa Capital to accelerate international growth.

Novel 3D Bioprinter Developed to Accelerate Drug Discovery with Enhanced Human-Like Tissue Models

Newcastle University scientists have developed ReJI, a 3D bioprinting technology that creates human-like tissue with 10 times higher cell density than existing methods, potentially improving drug testing accuracy.

University of Birmingham Pioneers Personalized Cancer Treatment Approaches with Novel Technologies

University of Birmingham researchers are revolutionizing cancer diagnosis through innovative MRI and machine learning techniques that can identify pediatric brain tumor types in just ten minutes.

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