Development

Virtual Reality Imaging in Cardiac Cath Lab to Treat Blocked Coronary Artery

Virtual reality (VR) has potential to revolutionize some aspects of medicine and healthcare. Several medical specialties are already using it to train physicians and assist diagnosis and it also has potential for treatment. A group of cardiologists has now successfully used a VR device to guide the opening up (revascularization) of a chronically blocked right coronary artery. Their report is published in the Canadian Journal of Cardiology.

Blood Sample New Way of Detecting Cancer

A new RNA test of blood platelets can be used to detect, classify and pinpoint the location of cancer by analysing a sample equivalent to one drop of blood. Using this new method for blood-based RNA tests of blood platelets, researchers have been able to identify cancer with 96 per cent accuracy. This according to a study at Umeå University in Sweden recently published in the journal Cancer Cell.

HIMSS Awards Cambridge University Hospitals Stage 6 Status of the International Electronic Medical Record Adoption Model

Healthcare Information and Management Systems Society has awarded Cambridge University Hospitals (CUH) with Stage 6 of the international Electronic Medical Record Adoption Model (EMRAM). The Healthcare Information and Management Systems Society (HIMSS) is an international organisation dedicated to improving healthcare quality, safety, cost-effectiveness and access, through the best use of IT.

Computer Assisted CBT Provides Little or no Benefits for Depression

Researchers at the University of York have revealed computerised cognitive behavioural therapy (cCBT) is likely to be ineffective in the treatment of depression. Published in the British Medical Journal (BMJ), Professor Simon Gilbody from York's Department of Health Sciences and the Hull York Medical School led the REEACT trial. The study was funded by the National Institute of Health Research Health Technology Programme.

New Computational Approach to Predicting Adverse Drug Reactions with Higher Confidence

A new integrated computational method helps predicting adverse drug reaction - which are often lethal - more reliably than with traditional computing methods. This improved ability to foresee the possible adverse effects of drugs may entail saving many lives in the future. The study that is being conducted by researchers from IMIM (Hospital del Mar Medical Research Institute), Pompeu Fabra University, and the company Chemotargets, within the framework of the European eTOX project, was chosen for the cover of the journal Chemical Research in Toxicology.

Genetics of Cancer Cells: Computational Models to Sort out the Chaos

Scientists of the Luxembourg Centre for Systems Biomedicine of the University of Luxembourg have developed a method for analysing the genome of cancer cells more precisely than ever before. The team led by Prof. Antonio del Sol, head of the research group Computational Biology, is employing bioinformatics: Using novel computing processes, the researchers have created models of the genome of cancer cells based on known changes to the genome.

One Step Closer to Personalized Medicine

On September 21-23, 2015, the p-medicine consortium composed of 19 partner organisations from all over Europe and Japan came together for their final project meeting in Homburg/Saar, Germany. During the meeting, the project's final achievements were presented to representatives of the European Commission, the local government as well as interested companies, research institutions and patient/parents groups.

Research and Development News

Virtual Reality Imaging in Cardiac Cath Lab to Treat Blocked Coronary Artery

Blood Sample New Way of Detecting Cancer

HIMSS Awards Cambridge University Hospitals Stage 6 Status of the International Electronic Medical Record Adoption Model

Computer Assisted CBT Provides Little or no Benefits for Depression

New Computational Approach to Predicting Adverse Drug Reactions with Higher Confidence

Genetics of Cancer Cells: Computational Models to Sort out the Chaos

One Step Closer to Personalized Medicine

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