Harmony at GenAI and LLMs night at Google London on 10 December 2024 Above: video of the AICamp meetup in London on 10 December 2024. Harmony starts at 40:00 - the first talk is by Connor Leahy of Conjecture We have presented the AI tool Harmony at the GenAI and LLMs night at Google London on 10th December organised by AI Camp at Google Cloud Startup Hub. AI Camp and Google hosted two deep dive tech talks on AI, GenAI, LLMs and machine learning, with food/drink, networking with speakers and fellow developers.
Clinical trial and research data harmonisation principles In the realm of healthcare, clinical trials serve as the bedrock of evidence-based medicine, guiding decisions that affect patient care and public health policies. However, the effectiveness of these trials hinges on the quality and compatibility of the data they generate. The harmonisation of clinical research data emerges as a pivotal endeavour in ensuring the integrity and interpretability of trial outcomes. In this blog post, we delve into the principles of clinical data harmonisation, exploring its significance in clinical trials and elucidating the strategies.
Overview In this era of digital business, ‘data’ is considered priceless wealth. It’s an important resource which provides businesses with the necessary insights, visions, and suggestions to take on new approaches, continually innovate, and make more informed decisions which benefits everyone in the mix – in case of real estate, from the property owners, landlords, and tenants to real estate agencies, agents, stakeholders, and what have you. Data harmonisation refers to a process where data is selected from a variety of sources, such as internal operations and external interactions as well as day to day business activities, where the relevant information is synthesised to make it qualitative and easily connect between the different sources.
International cancer data harmonisation – The state of 2024 If we look at the last decade alone, biomedical sciences have changed a lot. The data they must gather on a daily basis has also evolved to be vaster, more natively web-based, more interdependent, and more distributed. It’s a transformation that has fundamentally diversified not only the actors responsible for conducting analyses but also the types of data accessed. In order to find the answers to some incredibly complex scientific questions posed by the entire range of stakeholders in healthcare, we need to have specific systems and standards implemented in order to address the challenge of using data that is both unified and meaningful.
Unlocking Business Value through Master Data Harmonisation “The world is one big data problem.” – Andrew McAfee, Co-director of the MIT Initiative on the Digital Economy. Indeed, data can turn into a significant problem when organizations don’t know how to effectively manage and use it. Today, businesses deal with a lot of data. If they don’t handle this data well, it can become too much to manage. This can cause businesses to miss chances, work less efficiently, and make bad decisions.
Overview The pharmaceutical industry is mired in regulatory compliance requirements, which means businesses need to have well-established pharmaceutical R&D data harmonisation standards. Any omission, inaccuracies, inconsistencies or errors in data recording and reporting can carry a lot of risk, which means pharmaceutical R&D data harmonisation companies must be able to provide a complete audit trail of each step within every process – from the development of drugs or products to bringing them to the market to tracking them throughout their lifespan.
