Search results for: 'software energy AI data analysis'

The application of Generative AI (Gen AI) in healthcare is a rapidly growing field. In recent years, emerging applications in drug discovery and development, medical imaging analysis, digital twins, synthetic data, and electronic health records management, and virtual assistants have garnered significant interest thanks to their potential to revolu...

The healthcare industry is undergoing a data revolution, and analytics is at the heart of it. This Frost Radar will reveal the strategies, technologies, and innovations that are shaping the industry and driving success. By understanding the current landscape, digital health readers can stay ahead of the curve, identify emerging trends, and make in...

The impact of the digital revolution continues to disrupt the healthcare industry. This includes evolving digital technological capabilities, new business models and marketing approaches, the healthcare consumerism trend, the changing regulatory environment, and competitive threats from new market entrants, such as digital-native companies—particul...

Single-cell analysis can diagnose a condition in heterogenous cell population samples by studying genomics, transcriptomics, proteomics, metabolomics, and other cellular interactions in cells. It helps to understand a tumor microenvironment better and develop drugs based on newly uncovered knowledge of various types of tumors. The rich data provide...

This Frost Radar™ analyzes the clinical ambient AI solutions that enable clinicians to improve their efficiency at the point of care. AI scribe capability has become the baseline market requirement, eliminating it as a differentiator and pushing vendors to compete on higher-order clinical and financial workflow integration. These capabilities inclu...

08 Sep 2016  |  Global  |  Market Research

Growth Opportunities for Healthcare Big Data—An Analysis of Global Case Studies

Big Data Initiatives Targeted at Health Prediction and Precision

Infographics

×

The healthcare industry has been a laggard in Big Data adoption as compared to other verticals and continues to battle challenges around interoperability, budget constraints, and insufficient strategic planning and change management. However, the intent to leverage the power of Big Data is evident across all industry stakeholders, including governm...

This Frost Radar benchmarks companies and their solutions that enable the exchange and use of data between healthcare applications. Interoperability improves continuity of care, increases communication and connectivity between different stakeholders (e.g., payors, providers, patients, public health bodies), and reduces inefficiencies. Organizat...

Artificial intelligence is becoming increasingly relevant to antibody discovery and immunotherapy development, supporting target identification, de novo antibody design, antibody engineering, clinical intelligence, and bioprocessing. Advances in generative AI, protein language models, diffusion models, and structure-based models are expanding the u...

Clinical genomics regained significance during the pandemic with the development of the mRNA COVID-19 vaccine, and several non-invasive at-home test kits; an unprecedented feat in recent times. Genomics will take center stage, as large genome sequencing and research will continuously create data for new therapeutics. Artificial Intelligence (AI) an...