A5004975779- Knee injuries and reconstruction techniques
- Total Knee Arthroplasty Outcomes
- Sports injuries and prevention
- Monoclonal and Polyclonal Antibodies Research
- Patient-Provider Communication in Healthcare
- Delphi Technique in Research
- Conflict Management and Negotiation
- Protein purification and stability
- Coastal and Marine Management
- Shoulder Injury and Treatment
- Hearing, Cochlea, Tinnitus, Genetics
- RNA and protein synthesis mechanisms
- Pharmaceutical industry and healthcare
- Rural development and sustainability
- Human Resource and Talent Management
- Noise Effects and Management
- Advanced Biosensing Techniques and Applications
- Information Technology Governance and Strategy
- Healthcare Systems and Technology
- Health Policy Implementation Science
- Biosimilars and Bioanalytical Methods
- Youth Education and Societal Dynamics
- Interprofessional Education and Collaboration
- Team Dynamics and Performance
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
London Road Community Hospital
2020-2024
University Hospitals of Derby and Burton NHS Foundation Trust
2020-2024
University of Nottingham
2024
La Trobe University
2020-2024
University of Oxford
2024
Carolina Musculoskeletal Institute
2024
Ocean Trust
2019-2020
Manchester Metropolitan University
2020
University of Worcester
2020
Harrogate District Hospital
1998-1999
Abstract Traditional antibody optimization approaches involve screening a small subset of the available sequence space, often resulting in drug candidates with suboptimal binding affinity, developability or immunogenicity. Based on two distinct antibodies, we demonstrate that deep contextual language models trained high-throughput affinity data can quantitatively predict unseen variants. These variants span K D range three orders magnitude over large mutational space. Our reveal strong...
Abstract Generative AI has the potential to redefine process of therapeutic antibody discovery. In this report, we describe and validate deep generative models for de novo design antibodies against human epidermal growth factor receptor (HER2) without additional optimization. The enabled an efficient workflow that combined in silico methods with high-throughput experimental techniques rapidly identify binders from a library ∼10 6 heavy chain complementarity-determining region (HCDR)...
Abstract Increasing recombinant protein expression is of broad interest in industrial biotechnology, synthetic biology, and basic research. Codon optimization an important step heterologous gene that can have dramatic effects on level. Several codon strategies been developed to enhance expression, but these are largely based bulk usage highly frequent codons the host genome, produce unreliable results. Here, we develop deep contextual language models learn rules from natural coding sequences...
The intensive harvest of wild populations for food can pose a risk to security and conservation goals. While ecosystem approaches management offer potential means balance those risks, they require method assessment that is commensurate across multiple objectives. A major challenge conducting these assessments in way considers the priorities knowledge stakeholders. In this study, we co-developed an ecological (ERA) fisheries California (USA) with scientists, managers, This ERA was intended...
Abstract Deep learning approaches have demonstrated the ability to design protein sequences given backbone structures [1, 2, 3, 4, 5]. While these been applied in silico designing antibody complementarity-determining regions (CDRs), they yet be validated vitro for binders, which is true measure of success design. Here we describe IgDesign , a deep method CDR design, and demonstrate its robustness with successful binder 8 therapeutic antigens. The model tasked heavy chain CDR3 (HCDR3) or all...
Most organisations, in spite of the attention and investment focused on ERP software, have a number discrete computer systems that operate independently one another. In addition to problems unmanageability, this results an inability fully exploit information resources available. The concept architecture, which draws architectural profession, is attempt focus discipline design building systems, facilitate prioritisation decision making, support business strategy.
Strategic planning has been out of favour over the last decade. However, there is a new interest in strategic ‐ as means monitoring rapidly changing environment and taking effective decisions action based upon that monitoring. This especially true retail industry. Explains fundamental concepts key ingedients successful planning.
Abstract Background To explore the effectiveness of preoperative rehabilitation programmes (PreHab) on postoperative physical and psychological outcomes following anterior cruciate ligament reconstruction (ACLR). Method A systematic search was conducted from inception to November 2019. Randomised controlled trials (RCTs) published in English were included. Risk bias assessed using Version 2 Cochrane risk-of-bias tool, Grading Recommendations Assessment system used evaluate quality evidence....
Treatment for anterior cruciate ligament (ACL) rupture may follow a surgical or nonsurgical pathway. At present, there is uncertainty around treatment choice. Two shared decision-making tools have been codesigned to support patients make decision about following an ACL rupture. The include patient information leaflet and option grid. We report the protocol mixed-methods feasibility study, with nested qualitative interviews, understand feasibility, acceptability, indicators of effectiveness...
Objectives This study aimed to understand the lived experiences of patients on anterior cruciate ligament reconstruction (ACLR) pathway up 3 months before, after and 1 year surgery. Study objectives were explore (1) patient preoperative postoperative treatment, (2) views of/involvement in prehabilitation (3) sources consistency healthcare advice. Design Semi-structured interviews analysed using reflexive thematic analysis. Setting Midlands, England. Participants Purposive sample 18...
<title>Abstract</title> Background Treatment for Anterior Cruciate Ligament (ACL) rupture may follow a surgical or non-surgical pathway. At present, there is uncertainty around treatment choice. Two shared decision-making tools have been co-designed to support patients make decision about following an ACL rupture. The include patient information leaflet and option grid. We report the protocol mixed methods feasibility study, with nested qualitative interviews, understand feasibility,...
(1) To develop an intervention for to support patients diagnosed with anterior cruciate ligament (ACL) rupture decision-making regarding treatment. (2) define evidence-based recommendations the treatment of following ACL rupture. Nominal group technique consensus study. Online meetings and key stakeholders working receiving in National Health Service, UK. Consensus composed eight voting participants five non-voting facilitators. Voting included clinicians, one outpatient therapy manager two...
Re‐engineering is losing its place at the top of fashionable management methodologies. This perhaps because it has failed to deliver promised range benefits. In turn, this practice implementing re‐engineering complex ‐ more than realised by many who understand simple concept behind but fail think through factors associated with making change. Suggests that managers have too simplistic a view re‐engineering; outlines critical success factors, and sets out an approach delivering full potential...
Abstract Background To explore the effectiveness of preoperative rehabilitation programmes (PreHab) on postoperative physical and psychological outcomes following anterior cruciate ligament reconstruction (ACLR). Method A systematic search was conducted from inception to November 2019. Randomised controlled trials (RCTs) published in English were included. Risk bias assessed using Version 2 Cochrane risk-of-bias tool, Grading Recommendations Assessment system used evaluate quality evidence....