life sciences
277 TopicsEmpowering Employees with Purpose-Built Agents Using Agent Builder in Microsoft 365 Copilot Chat
In today's fast-paced work environment, empowering employees with the right tools can make all the difference in productivity and job satisfaction. One innovative solution is the use of purpose-built agents through Microsoft 365 Copilot Chat and Microsoft Teams. These agents are designed to streamline workflows, provide instant assistance, and enhance overall efficiency.Utilizing Azure Key vault with Private link in DevOps
Azure Key Vault is a cloud service that provides secure storage and access to secrets such as API keys, passwords, certificates, or cryptographic keys. To enhance security and disable public access, Azure Key Vault can be integrated with Private Endpoint powered by Azure Private Link. This private endpoint uses a private IP address from your VNet and brings the service into your VNet, effectively eliminating exposure from the public Internet by traversing traffic between your virtual network and the service over the Microsoft backbone network.Cancer Survival with Radiology-Pathology Analysis and Healthcare AI Models in Azure AI Foundry
The integration of radiology and pathology is transforming predictive analytics in healthcare. By combining MRI imaging with histopathology (H&E slides), this multimodal approach leverages pre-trained models from Azure AI Foundry to seamlessly connect macro-level and micro-level insights.Fabric AI Skill - example AI Agent for your Data using Healthcare data
Interested in trying out the new Microsoft Fabric AI Skill? Fabric AI Skill is a new Generative AI capability in preview for Fabric that functions as the basis for a SaaS AI Agent in Fabric using natural language to query your data. An AI Skill module has been added to the GitHub repo created along with my colleague Inderjit Rana. Why would you want to use AI Skill? AI Skill uses a pattern similar to a RAG large language model (LLM) so that context about your data and examples of proper SQL queries will provide a basis for the LLM to generate accurate queries that then run against your data such as "What was total costs in 2022 for Dallas, Texas?" or "Show me the top cities in Florida based on total beneficiaries?" If you've already deployed the 250M row Lakehouse / Warehouse / Direct Lake solution from the repo, the new AI Skill content can be deployed in about 5-10 minutes. If you haven't deployed the rest of the repo, steps in the repo documentation will guide you through the deployment process which should take less than an hour and result in an optimized Lakehouse and/or Warehouse that is ready for Fabric AI Skills. All that you need to deploy the entire solution is a Fabric Workspace that uses a Fabric or Premium capacity with the Fabric tools enabled. I'm currently working on an in-depth article to review use cases for AI Skill, but for now you can get started by using the GitHub repo at this link: https://github.com/isinghrana/fabric-samples-healthcare/tree/main/analytics-bi-directlake-starschema A video walking through a demo of the AI Skill module, along with a walkthrough of the deployment process can be found here: https://youtu.be/ftout8UX4lgThe Top 5 Healthcare Internet of Things (IoT) Vulnerabilities
The Internet of Things (IoT) is like a teenager, full of potential but still has some growing up to do. Just as the internet connects people, IoT connects our smart gadgets together. However, as with any fledgling technology, there are growing pains that can’t be ignored as connected devices become more integrated into Hospitals and our everyday lives. The following five IoT hacks demonstrate the current vulnerabilities in IoT and represent why Healthcare IT Professionals needs to make sure their IoT enabled Healthcare Devices are secured, protected and monitored.Microsoft expands Azure scalability for Healthcare Organizations
Microsoft has expanded Azure's scalability for running Epic's Chronicles Operational Database (ODB) to 65 million global references per second (GRefs/s). This enhancement, utilizing the new Mbv3 VM series with Azure Boost and Ultra Disk, covers 94% of the Epic market and significantly boosts performance for large health care providers using Epic on Azure.1.1KViews1like0Comments