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Leveraging agent-based systems powered by advanced reasoning engines and multi-modal models, Gen AI 2.0 holds promise for Life Sciences to advance understanding of disease progression at the individual patient level, improve evaluations of treatment tolerability and assessment of overall impact on activities of daily living (ADLs) for patients to achieve better experiences and health outcomes. Take a patient with progressive wet age-related macular degeneration (AMD), HCPs face unique challenges in monitoring disease progression and assessing treatment impacts on ADLs. An agent-based system integrates data from: ✔️EHR: Access patient history and clinical notes from AWS HealthLake. ✔️Imaging Data: Analyze retinal images from AWS HealthImaging to track the progression of macular degeneration. ✔️Genetic Data: Use AWS HealthOmics to understand genetic predispositions and treatment responses. ✔️ADL Assessment Tools: Gather data from patient-reported outcomes and wearable devices. A reasoning engine, typically an advanced Large Language Model (LLM), performs comprehensive analysis: ✔️Step-by-Step Problem Solving: Diagnose AMD stage, predict progression, and recommend personalized treatment adjustments. ✔️Contextual Adaptation: Each step's results inform the next, allowing the agent to reconsider and adapt the overall solution plan continuously. Multiple agents work in synchronization to execute complex workflows: ✔️Detailed Patient Profiles: Create comprehensive patient profiles by integrating data from various sources, ensuring clinicians have a holistic view. ✔️Clinical Trial Matching: Search for relevant clinical trials using an index built on Amazon Kendra to find the best options for the patient. ✔️Medication & Literature Search: Identify effective medications and latest research. Optimization is crucial for cost-effectiveness: ✔️LLM Optimization Techniques: Implement hardware solutions like Nvidia Blackwell and AWS Inferentia, framework optimizations with Mojo, and cloud solutions using AWS Spot Instances to reduce costs. ✔️Efficient Hosting: Utilize Nvidia Triton on AWS for optimal model hosting. As Life Sciences adopt Gen AI 2.0, the focus will be on achieving high-quality outputs efficiently. Partnering with experts who optimize these systems ensures companies stay ahead in disease progression understanding and treatment impact analysis. #Caylent #lifesciences #genai Learn more: Ryan Gross, Senior Director of Data and Applications at Caylent, highlights Gen AI 2.0's potential in his latest VentureBeat article.

Mendel.ai, a leading health technology company specializing in AI-driven tools for medical decision-making, has joined NVIDIA's Inception program, marking a significant step forward in advancing healthcare AI. This collaboration will enable Mendel AI to leverage NVIDIA's cutting-edge technology, including the latest NVIDIA NIM inference microservices, to enhance its flagship product, Hypercube AI. The NVIDIA Inception program is designed to support start-ups that are revolutionizing industries through advanced technology. For Mendel AI, this partnership provides access to: 🔸 Advanced AI tools and technologies 🔸 Technical expertise in AI, deep learning, and data science 🔸 Resources to develop sophisticated, reliable, and explainable AI solutions for the healthcare sector Karim Galil, M.D., CEO of Mendel AI, expressed excitement about the collaboration, highlighting its potential to enhance the company's capabilities in processing and understanding complex, unstructured medical data at an unprecedented scale. The partnership aims to push the boundaries of AI applications in medical research and patient care, focusing on efficiency and effectiveness. Mendel AI's approach to creating clinician-like AI has applications across clinical research, real-world evidence generation, and cohort selection. By joining the NVIDIA Inception program, Mendel AI gains access to crucial resources during critical stages of product development, prototyping, and deployment, including NVIDIA Training credits, preferred pricing on hardware and software, and technological assistance. This collaboration represents a significant step forward in the development of AI-driven healthcare solutions, potentially leading to improved medical decision-making and patient care outcomes. https://lnkd.in/eqJSB2fs 📰 Stay ahead of the curve by following Practical Patient Care on LinkedIn for more industry news and insights.

Despite the approval of over 900 FDA-cleared AI tools for medical imaging, healthcare systems remain mired in fragmentation, operational inefficiencies and scalability issues. That's why Nvidia and Aidoc are co-developing the Blueprint for Resilient Integration and Deployment of Guided Excellence (BRIDGE). "The purpose behind the BRIDGE initiative is to help foster a structured approach to the vast array of AI services, systems and opportunities that currently exist. Given how quickly this space has evolved, many AI solutions have failed to take into consideration key aspects regarding integration, interoperability and cohesiveness. That is, fueled by incredible demand, many AI developers have started to “run” before learning to “walk”— leaving the ecosystem mired with numerous siloed and disparate products." #healthcare #clinicalAI #AI

AI Inference Compute Center for Healthcare 🚀 Exploring the Future of Healthcare: I am currently developing a groundbreaking AI inference compute center, focusing on the healthcare sector. Unlike large-scale compute centers like H100 and H200, we are leveraging the high performance of NVIDIA 4090 GPUs to offer cost-effective AI solutions for healthcare, accelerating disease diagnosis, personalized treatment, and health management. 🔍 Project Highlights: Focused on inference applications, aligning with market realities. Most enterprise AI applications, such as image recognition, speech processing, and recommendation systems, require substantial compute power but not the extreme performance needed for large-scale model training. Combining top-tier AI technology with medical expertise to deliver customized services. A robust team with backgrounds in healthcare and AI technology. Targeting the global market, especially cost-sensitive small to medium healthcare institutions. 🤝 Collaboration Opportunities: We are seeking partners to jointly drive innovation in healthcare AI. If you are interested in the intersection of healthcare and AI, please reach out to me to explore potential collaborations. 📧 Contact Me: lijm9939@gmail.com #HealthcareAI #BigHealth #InnovationProject #CollaborationOpportunities #CostEffectiveServices

Nvidia is set to revolutionize healthcare with cutting-edge AI technologies, paving the way for a smarter, healthier future. 🧠💻 Nvidia Poised to Transform Healthcare with Advanced AI Technologies Read News In Detail: https://lnkd.in/dRVy6ukS #AIinHealthcare #NvidiaInnovation #HealthTech #FutureOfMedicine #AIRevolution #MedicalBreakthroughs #TechForGood #AILeadersMagazine

NVIDIA's Generative AI Technology in the Healthcare Industry NVIDIA's cutting-edge generative AI models are poised to revolutionize the healthcare industry. These advanced AI systems leverage powerful deep learning algorithms and vast medical datasets to generate highly realistic and clinically relevant content, from synthetic patient records to simulated medical images. This remarkable capability not only streamlines data-intensive workflows but also unlocks new possibilities in areas such as clinical decision support, patient engagement, and drug discovery. NVIDIA's modular microservice architecture allows for seamless integration and flexible application of their generative AI models across a wide range of complex medical use cases. From enhancing electronic health records (EHRs) to optimizing clinical trial matching, these AI-powered tools are transforming the way healthcare professionals access, process, and utilize critical medical data. By automating repetitive tasks and enhancing the accuracy of data-driven insights, NVIDIA's generative AI solutions are paving the way for more personalized, efficient, and effective patient care.

As healthcare organizations continue their #AI adoption journey, there’s one thing holding them back: GPU shortages. Learn what to expect, how it will impact your operations and how to find ways around it. https://cdw.social/4gcA1zs #GenAI #HealthIT

The benefits of generative AI in drug discovery It can take years, and cost billions, to get new drugs approved for clinical use, but technological advances are transforming drug discovery and development.   The growing shift towards artificial intelligence (AI), including generative and predictive AI, can reduce the amount of time and money it takes to develop new drugs. It offers the potential to drastically shorten the early stages of drug discovery and help identify future drug candidates faster.   In this webinar, you will hear from Amazon Web Services (AWS) and NVIDIA experts and discover how high-performance computing (HPC) and AI are being used to screen out potentially dangerous drugs, improve the identification of drug candidates, and develop new therapeutic compounds.   What you’ll learn: • How to overcome common challenges from data quality, managing multi-modal data, and limited computational resources • How generative AI is impacting and accelerating the drug discovery process • How accelerated computing and purpose-built tools can help build, run, and train generative AI workloads Tue, Jan 28, 2025 10:00 AM - 11:00 AM GMT Register for free now to secure your place at the webinar! https://lnkd.in/e26pB9eu Supported by Amazon Web Services (AWS) and NVIDIA  #DrugDiscovery #ArtificialIntelligence #GenerativeAI

AI is transforming the Life Sciences and healthcare industry. From predictive analytics to personalised medicine, the future of AI is an amazing place. Check out this article on SelectScience® to find out how IQVIA and NVIDIA collaboration focuses on scalable, AI-powered solutions to accelerate research, improve workflows, and enhance patient outcomes.  “AI agents can become digital companions to researchers, doctors and patients, helping unlock enormous productivity and expanding access to care globally.” says Kimberly Powell, vice president of healthcare, NVIDIA. Full article is below.

The benefits of generative AI in drug discovery It can take years, and cost billions, to get new drugs approved for clinical use, but technological advances are transforming drug discovery and development.   The growing shift towards artificial intelligence (AI), including generative and predictive AI, can reduce the amount of time and money it takes to develop new drugs. It offers the potential to drastically shorten the early stages of drug discovery and help identify future drug candidates faster.   In this webinar, you will hear from Amazon Web Services (AWS) and NVIDIA experts and discover how high-performance computing (HPC) and AI are being used to screen out potentially dangerous drugs, improve the identification of drug candidates, and develop new therapeutic compounds.   What you’ll learn: • How to overcome common challenges from data quality, managing multi-modal data, and limited computational resources • How generative AI is impacting and accelerating the drug discovery process • How accelerated computing and purpose-built tools can help build, run, and train generative AI workloads Tue, Jan 28, 2025 10:00 AM - 11:00 AM GMT Register for free now to secure your place at the webinar! https://lnkd.in/e26pB9eu Supported by Amazon Web Services (AWS) and NVIDIA  #DrugDiscovery #ArtificialIntelligence #GenerativeAI