He said the system will enable research breakthroughs at a scale and speed previously impossible with global impact potentially benefiting millions. Its first projects with AstraZeneca, GSK, Guy's and St Thomas' NHS Foundation Trust, King's College London and Oxford Nanopore Technologies include developing a deeper understanding of brain diseases like dementia, using AI to design new drugs and improving the accuracy of finding disease-causing variations in human genomes. Cambridge-1 is the first NVIDIA supercomputer designed and built for external research access. The company will collaborate with researchers to make much of this work available to the greater scientific community. The system is located at a facility operated by NVIDIA partner Kao Data. Cambridge-1 is the first supercomputer NVIDIA has dedicated to advancing industry-specific research in the U.K. The company also intends to build an AI Center for Excellence in Cambridge featuring a new Arm-based supercomputer, which will support more industries across the country.

Reporting guidelines are structured tools developed using explicit methodology that specify the minimum information required by researchers when reporting a study. The use of AI reporting guidelines that address potential sources of bias specific to studies involving AI interventions has the potential to improve the quality of AI studies, through improvements in their design and delivery, and the completeness and transparency of their reporting. With a number of guidance documents relating to AI studies emerging from different specialist societies, this Review article provides researchers with some key principles for selecting the most appropriate reporting guidelines for a study involving an AI intervention. As the main determinants of a high‐quality study are contained within the methodology of the study design rather than the intervention, researchers are recommended to use reporting guidelines that are specific to the study design, and then supplement them with AI‐specific guidance contained within available AI reporting guidelines.

We Fools may not all hold the same opinions, but we all believe that considering a diverse range of insights makes us better investors. Follow Anders on Twitter, LinkedIn, and Google . Semiconductor designer NVIDIA (NASDAQ:NVDA) today announced that it is building the United Kingdom's most powerful supercomputer ever. Dubbed Cambridge-1, the system will give healthcare researchers access to impressive artificial intelligence (AI) tools. The $52 million Cambridge-1 will be installed at the university it's named after, and is scheduled to come online by the end of 2020.

Pune, 30 July 2020: A letter of intent was signed between the Centre for Innovation, Incubation and Enterprise(CIIE) at Savitribai Phule Pune University (SPPU) with healthcare startup DeepTek to provide market linkage and work on innovative research proposals in healthcare and Artificial Intelligence (AI) domain jointly. "SPPU is keen to support startups working in COVID diagnostics and provide them access to the ecosystem . " Centre for innovation helps startups for validating and scaling up and Deeptek a startup that provides innovative solution using AI in image processing through X Ray and CT scan is a novel initiative that can be a great breather when testing is most crucial", said Dr Apoorva Palkar, Director IIL-SPPU. CIIE will support the healthcare startup working in the space of radiology artificial intelligence to validate the innovative "Radiology Optimization Platform" called Augmento. Augmento has innovated the space of diagnosis and radiology reporting by embedding AI artificial intelligence (AI) in medical image analysis and workflow thereby augmenting imaging experts, radiology administrators, floor managers and hospital administrators. Augmento is an ancillary tool for diagnosis of Covid19 pneumonia-like pattern from Digital Radiographs and CT. Augmento allows to do an instant triage and prescreen from an Xray and/or CT imaging into normal or suspicious for Covid19 within few seconds and it can be supplemented with a clinically validated structured quantified radiology report within 60 minutes of completing the study. Augmento has a powerful analytics tool which has been used for disease detection, notification, generating instant alerts and strengthening patient follow up and last-mile screening, a tool especially valuable for nodal officers monitoring infectious diseases and will be very useful for Covid19 screening. This tool also has empowered imaging experts, thereby allowing them to significantly reduce radiology report turnaround time in hospitals and/or mobile van-based x-ray screening. CIIE is working very closely with startups and focusing on healthcare and diagnostics. Currently, it has more than 40 startups working in the centre. "Over the last 12 months, more than one lakh patients have been screened using the AI-enabled smart platform for TB screening.

Technology has transformed our lives as consumers, but it's only just starting to make a difference to our health: you can look up your symptoms online, track your heart rate with a smart watch and expect your doctor to look up your previous prescriptions. In the future though, technology might give us precision medicine personalised to our own immune systems and genetics. Before that, it can make healthcare more efficient – giving doctors more time to look after patients. As AI and machine learning become more important in medicine, Microsoft is taking existing investments in its healthcare data platform, cloud-scale databases and AI tools and using that as the basis of Healthcare NExT – a set of partnerships to develop solutions that have the right tools for healthcare, at a scale that can help treat and protect everyone. It's based on the MSR NExT initiative for turning research into new lines of business that created new Microsoft products like the Bot Framework and Azure Sphere; in 2015, Microsoft CEO Satya Nadella decided to take the same approach to healthcare and the first pieces are now starting to emerge.

As Digital Journal has recently reported Microsoft has recently launched Healthcare NeXT, which is a cloud-based, artificial intelligence and research project with the aim of fostering digital tools to encourage people to lead healthier lives as well as offering analytics to support healthcare research. Microsoft's biological computation laboratories approach is similar to the approach taken by IBM with its Watson system, according to PharmaPhorum. This involves applying machine learning and artificial intelligence capabilities to analyze complex biological data. These Industry 4.0 solutions represent a new and potentially successful input into healthcare research. Part of the research that Microsoft is undertaking is into cancer.