A5016158508- Cutaneous Melanoma Detection and Management
- Immunotherapy and Immune Responses
- Cutaneous lymphoproliferative disorders research
- Quantum Computing Algorithms and Architecture
- Nonmelanoma Skin Cancer Studies
- Stochastic processes and financial applications
- Bacterial Genetics and Biotechnology
- Physics of Superconductivity and Magnetism
- CAR-T cell therapy research
- Nosocomial Infections in ICU
- Intensive Care Unit Cognitive Disorders
- DNA Repair Mechanisms
- Stock Market Forecasting Methods
- Cell Adhesion Molecules Research
- Allergic Rhinitis and Sensitization
- Melanoma and MAPK Pathways
- Escherichia coli research studies
- Sepsis Diagnosis and Treatment
- Gene Regulatory Network Analysis
- Cancer Immunotherapy and Biomarkers
- melanin and skin pigmentation
- Cancer Cells and Metastasis
- Quantum Information and Cryptography
- Logic, programming, and type systems
- thermodynamics and calorimetric analyses
Newcastle University
2010-2024
Fraunhofer Institute for Industrial Mathematics
2023
Each Salmonella enterica serovar Typhimurium cell produces a discrete number of complete flagella. Flagellar assembly responds to changes in growth rates through FlhD(4) C(2) activity. activity is negatively regulated by the type 3 secretion chaperone FliT. FliT known interact with flagellar filament cap protein FliD as well components apparatus. proposed act an anti-regulator, manner similar FlgM inhibition σ(28) We have found that efficient growth-dependent regulation requires regulation....
BackgroundThe updated American Joint Committee on Cancer (AJCC) staging criteria for melanoma remain unable to identify high‐risk stage I tumour subsets.
For patients with early American Joint Committee on Cancer (AJCC)-stage melanoma the combined loss of autophagy regulatory protein AMBRA1 and terminal differentiation marker loricrin in peritumoral epidermis is associated a significantly increased risk metastasis.
Abstract Background Combined expression of the autophagy-regulatory protein AMBRA1 (activating molecule in Beclin1-regulated autophagy) and terminal differentiation marker loricrin peritumoral epidermis stage I melanomas can identify tumour subsets at low risk metastasis. Objectives To validate combined (AMBLor) as a prognostic biomarker able to both II recurrence. Methods Automated immunohistochemistry was used analyse geographically distinct discovery (n = 540) validation 300) cohorts...
Introduction Sepsis is characterised by a dysregulated immune response to infection, with exaggerated pro-inflammatory and anti-inflammatory responses. A predominant immunosuppressive profile affecting both innate adaptive responses associated increased hospital-acquired infection reduced infection-free survival. While leads additional antibiotic use, the role of phenotype in guiding complex decisions, such as those stewardship, uncertain. This study mechanistic substudy embedded within...
Classical Monte Carlo algorithms can theoretically be sped up on a quantum computer by employing amplitude estimation (AE). To realize this, an efficient implementation of state-dependent functions is crucial. We develop straightforward approach based pretraining parameterized circuits, and show how they transformed into their conditional variant, making them usable as subroutine in AE algorithm. identify suitable circuit, we propose genetic optimization that combines variable ansatzes data...
Abstract Background Cutaneous squamous cell carcinoma (cSCC) incidence continues to increase globally with, as of yet, an unmet need for reliable prognostic biomarkers identify patients at increased risk metastasis. The aim the present study was test potential combined immunohistochemical expression autophagy regulatory biomarkers, AMBRA1 and SQSTM1, high‐risk patient subsets. Methods A retrospective cohort 68 formalin‐fixed paraffin‐embedded primary cSCCs with known 5‐year metastatic...
The accurate valuation of financial derivatives plays a pivotal role in the finance industry. Although closed formulas for pricing are available certain models and option types, exemplified by European Call Put options Black-Scholes Model, use either more complex or sophisticated precludes existence such formulas, thereby requiring alternative approaches. Monte Carlo simulation, an approach effective nearly all scenarios, has already been challenged quantum computing techniques that leverage...
This paper presents a novel approach to quantum architecture search by integrating the techniques of ZX-calculus with Genetic Programming (GP) optimize structure parameterized circuits employed in Quantum Machine Learning (QML). Recognizing challenges designing efficient for QML, we propose GP framework that utilizes mutations defined via ZX-calculus, graphical language can simplify visualizing and working circuits. Our methodology focuses on evolving aim enhancing their capability...
e22094 Background: The success of adjuvant therapy for patients with AJCC stage III melanomas coupled the increased risk mortality IIB compared to IIIA tumours has paved way immunotherapy trials sentinel lymph node (SLNB) –ve II disease. However, lack biomarkers able appropriately stratify high-risk tumour subsets limits patient recruitment. We have recently identified combined immunohistochemical (IHC) expression AMBRA1 and Loricrin (AMBLor) in epidermis overlying non-ulcerated I as a...
Classical Monte Carlo algorithms can theoretically be sped up on a quantum computer by employing amplitude estimation (AE). To realize this, an efficient implementation of state-dependent functions is crucial. We develop straightforward approach based pretraining parameterized circuits, and show how they transformed into their conditional variant, making them usable as subroutine in AE algorithm. identify suitable circuit, we propose genetic optimization that combines variable ansatzes data...
9573 Background: Cutaneous melanoma incidence continue to increase, with a particular increase in the number of patients diagnosed thin, < 1mm tumours reduced probability recurrence-free survival. The inability current AJCC staging criteria identify genuinely low risk subsets stage I/II thus emphasises acute need for credible prognostic biomarkers stratify patient follow-up based on personalised risk. combined immunohistochemical (IHC) expression AMBRA1 and Loricrin (AMBLor) epidermis...
Melanoma is the most deadly skin cancer, with a worldwide incidence that increases year on year. A major unmet need discovery of means through which to identify patients early stage melanoma at high risk disease progression, meaning it will spread elsewhere in body. This UK study aimed determine if loss two proteins, AMBRA1 and loricrin, (upper layer epidermis) overlying able predict are spread. Initially, levels were assessed biopsies from 79 patients. Results suggested reduction or...
e21541 Background: While surgical excision is largely curative, small subsets of patients with cSCC develop metastatic disease for which current AJCC/Brigham and Women’s Hospital staging criteria are unable to reliably identify. There hence an unmet need credible prognostic biomarkers stratify based on personalised risk, guide the use emerging therapeutic intervention advanced rationalisation current/future dermatological healthcare. AMBRA1 SQSTM1 (p62) play a key role in autophagy sustained...