Unterwellenborn Ot Goßwitz, Germany
MIDI (MR Imaging Abnormality Deep Learning Identification)
An automated strategy for identifying abnormalities in head scans could address the unmet clinical need for faster abnormality identification times, potentially allowing for early intervention to improve short- and long-term clinical outcomes. Radiologist shortages and increased demand for MRI scans lead to delays in reporting, particularly in the outpatient setting. Furthermore, there is a wide variation in the management of incidental findings (IFs) discovered in 'healthy volunteers.' The routine reporting of 'healthy volunteer' scans by a radiologist poses logistical and financial challenges. It would be valuable to devise automated strategies to reliably and accurately identify IFs, potentially reducing the number of scans requiring routine radiological review by up to 90%, thus increasing the feasibility of implementing a routine reporting strategy. Deep learning is a novel technique in computer science that automatically learns hierarchies of relevant features directly from the raw inputs (such as MRI or CT) using multi-layered neural networks. A deep learning algorithm will be trained on a large database of head MRI scans to recognize scans with abnormalities. This algorithm will be trained to classify a subset of these scans as normal or abnormal and then tested on an independent subset to determine its validity. If the tested neural network demonstrates high diagnostic accuracy, future research participants and patients may benefit, as not all institutions currently review their research scans for incidental findings and clinical scans may not be reported for weeks in some cases. In both research and clinical scenarios, an algorithm could rapidly identify abnormal pathology and prioritize scans for reporting. In summary, the aim is to develop a deep learning abnormality detection algorithm for use in both research and clinical settings.
Phase
N/ASpan
313 weeksSponsor
King's College Hospital NHS TrustWatford
Recruiting
The Early Valve Replacement in Severe ASYmptomatic Aortic Stenosis Study
This is a major pragmatic multi-centre prospective parallel group open RCT. It will be conducted in the UK, Australia and New Zealand, funding is being sought in several countries to expand recruitment internationally. The study is in 2 phases: the vanguard and main phase. Therefore the study will run an internal pilot to prove recruitment of the relevant number of participants during the initial 2 years. The over-arching aim is to determine whether early AVR results in better clinical outcomes and cost-effectiveness than a strategy of expectant management in asymptomatic patients with severe AS. The primary hypothesis is that early AVR or TAVI in asymptomatic patients with severe AS will result in a reduction in the composite primary outcome of cardiovascular (CV) death and hospitalisation for heart failure (HHF) when compared to the conventional approach of expectant management. Potential participants will be identified by a member of the clinical care team following diagnosis with severe AS. Participants will be screened for eligibility using pre-specified inclusion/exclusion criteria. Eligible participants will be provided with a written version of the participant information sheet detailing the exact nature of the study, what it will involve for the participant and any risks involved with taking part. Participants will be given at least 24 hours to consider the information and decide whether or not to take part. The study will randomise up to 2844 patients with severe asymptomatic AS to either allocated expectant management OR aortic valve replacement. Participants randomised to AVR will be placed on a waiting list with the aim that surgery will be performed within 3 months, dependent on local hospitals' waiting lists. Participants randomised to AVR will undergo routine tests/procedures which may include coronary angiography. If the outcome of the coronary angiography reveals coronary heart disease, the decision to perform CABG or PCI will be made by the responsible cardiac surgeon and cardiologist, in consultation with the patient. All analyses will be undertaken using the principles of intention-to-treat with participants analysed in the group they were randomised regardless of treatment received. EASY-AS is collaborating with the EVoLVeD study (Early Valve Replacement guided by Biomarkers of Left Ventricular Decompensation in Asymptomatic Patients with Severe Aortic Stenosis, Clinical Trials.gov NCT03094143). In centres where both EASY-AS and EVoLVeD are running, participants in EASY-AS will be offered the opportunity to take part in EVoLVeD. Funding has been granted by the British Heart Foundation (UK), Medical Research Future Fund (Aus) and Heart Foundation (NZ). The UK sponsor is the University of Leicester. Additional support and resources for the study will be provided by the participating Trusts and their corresponding Clinical Research Networks in the UK. The central co-ordination centre is the University of Leicester Clinical Trials Unit.
Phase
N/ASpan
577 weeksSponsor
University of LeicesterWatford
Recruiting
VEST: The UK Vedolizumab Real Life Experience Study in Inflammatory Bowel Disease
Phase
N/ASpan
152 weeksSponsor
University Hospital Southampton NHS Foundation TrustWatford, Hertfordshire
Recruiting
A Study of Milvexian in Participants After an Acute Ischemic Stroke or High-Risk Transient Ischemic Attack- LIBREXIA-STROKE
Phase
3Span
199 weeksSponsor
Janssen Research & Development, LLCWatford
Recruiting
Study to Assess the Efficacy and Safety of Atuliflapon in Moderate-to-Severe Uncontrolled Asthma
The study will enroll participants with moderate to severe uncontrolled asthma who are on low-dose inhaled corticosteroid (ICS) - a long-acting beta-agonist (LABA) or medium-to-high-dose ICS with or without LABA background treatment. The study will be initiated by Lead-in pharmacokinetics (PK) cohort in asthma participants. Participant will be randomised globally, including participants in Lead-in PK cohort (2 arms) and in Part 1 of the study (2 arms). In the Lead-in PK cohort, participants will be randomised to Atuliflapon or placebo (recruitment completed). In Part 1 of the study, participants will be stratified by geographical region, and grouped based on high or low levels of biomarker at screening (Visit 1).
Phase
2Span
209 weeksSponsor
AstraZenecaWatford
Recruiting
Treatment With Bempedoic Acid and/or Its Fixed-dose Combination With Ezetimibe in Primary Hypercholesterolemia or Mixed Dyslipidemia
This non-interventional study will be conducted to characterize the risks and benefits of bempedoic acid and/or its fixed-dose combination with ezetimibe in a real-world clinical setting in adult patients with primary hypercholesterolaemia or mixed dyslipidaemia and to gain insight into the effectiveness (managing plasma levels of low-density lipoprotein cholesterol) as well as safety (clinical events associated with the treatment modalities). Real world evidence will be collected in 5000 participants, treated by specialized as well as non-specialized physicians in hospitals and office based centers.
Phase
N/ASpan
242 weeksSponsor
Daiichi Sankyo Europe, GmbH, a Daiichi Sankyo CompanyWatford
Recruiting