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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

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https://www.gov.uk/government/organisations/public-health-england

An executive agency of the Department of Health in the United Kingdom to protect and improve the nation''s health and well-being, and reduce health inequalities. It employs 5,500 staff, who are mostly scientists, researchers and public health professionals. They have 15 local centers and 4 regions (north of England, south of England, Midlands and east of England, and London). They work closely with public health professionals in Wales, Scotland and Northern Ireland, and internationally. Its formation came as a result of reorganization of the National Health Service (NHS) in England. It took on the role of the Health Protection Agency, the National Treatment Agency for Substance Misuse and a number of other health bodies. They are responsible for: * making the public healthier by encouraging discussions, advising government and supporting action by local government, the NHS and other people and organisations * supporting the public so they can protect and improve their own health * protecting the nation''s health through the national health protection service, and preparing for public health emergencies * sharing information and expertise with local authorities, industry and the NHS, to help them make improvements in the public''s health * researching, collecting and analyzing data to improve our understanding of health and come up with answers to public health problems * reporting on improvements in the public''s health so everyone can understand the challenge and the next steps * helping local authorities and the NHS to develop the public health system and its specialist workforce

Proper citation: Public Health England; London; United Kingdom (RRID:SCR_003905) Copy   


https://www.gov.uk/government/organisations/department-of-health

Department of Health and Social Care is a department of Her Majesty's Government, responsible for government policy on health and adult social care matters in England.

Proper citation: United Kingdom Department of Health (RRID:SCR_011595) Copy   


  • RRID:SCR_003766

    This resource has 10+ mentions.

http://www.predict-tb.eu/

Consortium to accelerate the search for new, more effective combinations of treatments to tackle Tuberculosis and address pre-clinical research barriers to the discovery and development of new TB drug combinations. To overcome the challenges in Tuberculosis drug development they will create tools to accelerate PK-PD (Pharmacokinetic / Pharmacodynamic) analysis that are connected to clinical outcomes. By addressing the gaps in preclinical information, the consortium aims to provide a framework and tools to facilitate the transition of the best combinations of drugs to late phase development. They aim to develop an integrated set of laboratory-based models that will provide much-needed data to indicate the most appropriate doses and combinations of drugs for patients. In addition, the project will generate a comprehensive database of patient data from previous and on-going clinical trials for use as a reference for evaluating the performance of combination anti-TB drug regimens in these newly developed laboratory models. Ultimately, they aim to enable researchers to be able to use the information generated by the novel models to design better clinical trials involving TB patients. The aims of the consortium: * To systematically evaluate two successive panels of representative anti-tuberculosis drugs (licensed and novel) using a suite of standard, novel and enhanced preclinical model systems, with respect to performance in clinical trials * To refine the set of preclinical systems on the basis of these results in order to identify and define the currently optimal critical path in discovery and pre-clinical development for tuberculosis. * To develop an integrated PK-PD / Disease modelling and simulation framework for tuberculosis which will facilitate prediction of optimal combinations and design of clinical studies.

Proper citation: Predict-TB (RRID:SCR_003766) Copy   



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