Anyone interested in the intersection of AI and medical research What You Will Learn Attendees will learn about: How generative AI accelerates clinical data abstraction and chart review processes Strategies for building more accurate and efficient patient cohorts using AI ...
Generative AI is rapidly transforming the landscape of clinical research, offering unprecedented opportunities to streamline processes, enhance efficiency and unlock valuable insights from vast amounts of medical data. This webinar explores the cutting-edge applications of generative AI in accelerating clinica...
The JAX and LG AI Research collaboration, for example, will focus on an AI to identify new biomarkers or biomarker combinations that could be used to stratify patients with different subtypes of Alzheimer’s disease. “The Jackson Laboratory has a very large research dataset on Alzheimer’s, inc...
Post-market surveillance involves the analysis of high volumes of data and communications with large patient populations. Generative AI promises to transform efficiency in both areas.
From research and development to clinical trials to patient engagements, life sciences organization choose generative AI on AWS to improve efficiencies across the value chain. Accelerate research and discovery Use generative AI tools for protein folding, protein sequence design, docking and molecule design...
Discover generative, predictive, and hybrid AI models that offer comprehensive solutions for complex medical challengesThis live event is for you because... You’re an AI/ML engineer or data practitioner who wants to broaden your skill set and apply your knowledge to the healthcare industry. You...
| Microsoft Research Forum February 25, 2025 Speakers: Marwin Segler AI for Precision Health: Learning the language of nature and patients | Microsoft Research Forum February 25, 2025 Speakers: Hoifung Poon, Ava Amini, Lili Qiu , et. al. Keynote: Multimodal Generative AI for ...
Synthetic data, which is created using generative AI models like GANs, is an increasingly promising solution for balancing valuable data access and patient privacy protection [9]. By using generative AI models, realistic and anonymised patient data can be created for research and training purposes, ...
research manuscripts, and grant writing as well as support in writing medical notes. To help with the concern of misusing thetoolin this category, researchers recommended the implementation of surveillance systems for generative AI use and tailoring assignments...
The generation of synthetic data opens new avenues for model training for diseases and simulation, enhancing research capabilities and improving predictive accuracy. In non-clinical contexts, Gen AI improves medical education, public relations, revenue cycle management, healthcare marketing etc. Its ...