Visbion Awarded Government Grant from Innovate UK SMART Initiative for Synthetic Biology Project

VisbionVisbion has been chosen as the recipient of a government grant via the Innovate UK SMART initiative for a new project entering into the field of synthetic biology. The aim of the project, entitled 'A Comprehensive Web-based Broker for Biotechnology Design and Manufacturing' is to create a method by which synthetic biology designers can efficiently search for tools and component parts for their designs. This will be achieved by utilising Visbion's existing DICOM systems to develop a web-based broker system. The SMART initiative aims to provide funding for research and design projects in the fields of science, engineering and technology to develop products and services which might promote economic growth.

Visbion are already members of SynbiCITE and are fortunate to have in their chairman Professor Richard Kitney and their CEO Dr Stefan Claesen, experts in the fields of synthetic biology and DICOM technology who can lead the team through the project. The remainder of the team will consist of Visbion staff members alongside specialists from Imperial College's Centre for Synthetic Biology and Innovation (CSynBI). The project has a timescale of approximately 2 years and the initial stages of this fascinating new venture are already well underway. The team are excited to see where work will take them over the coming months.

About Visbion
Visbion specialises in medical image management and display solutions. The company has extensive experience in interfacing medical imaging equipment from a large variety of vendors and provides software and hardware solutions for the acquisition, storage, archive and display of a wide range of medical images.

Visbion has developed specific products for the Healthcare, Veterinary and Life Sciences markets, based on a common technology platform that provides a proven, highly-scalable and high functionality basis for the Visbion product set. In addition, the company's technology is embedded as the image management system within a number of leading electronic medical record systems and practice management systems provided by other vendors around the world.

About CSynBI and SynbiCITE
The Centre for Synthetic Biology and Innovation (CSynBI) was established in 2009 as a centre for research, development and training in the area of synthetic biology. It is comprised of scientific researchers from Imperial College, London and societal and ethical researchers from King's College, London, ensuring that all research is performed in a responsible way. Alongside the research, CSynBI offer teaching as part of a variety of undergraduate and postgraduate courses.

Synthetic Biology Innovation, Commercial and Industrial Translation Engine (SynbiCITE) are a collection of academic and industrial organisations focused on the commercialisation of synthetic biology. They aim to be the link between academic research of synthetic biology and its practical application within industry.

Most Popular Now

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...

Bayer Acquires HiDoc Technologies and Ca…

Bayer is today announcing that it plans to acquire HiDoc Technologies GmbH in the first quarter of 2025 and to start commercialization of the digital health application, Cara Care®. Cara...