Search results for: 'next generation diagnostic market'

This market insight covers the challenges associated with the adoption of next-generation sequencing (NGS)-based testing for routine diagnostic use. Emerging applications for gene panel and whole exome sequencing are discussed. Best practices and guidance have been provided to attain coverage on newly launched tests through case study analysis. Tab...

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...

Next-generation fermentation pathways for sustainable fuel production represent an evolving suite of biological and bio-electrochemical processes designed to convert diverse carbon sources, such as CO₂, biomass, waste gases, and organic residues, into liquid fuels. These approaches integrate advances in metabolic engineering, synthetic biology, and...

Increase in adoption of advanced driver assistance systems and evolution in autonomy has intensified the need to sense and perceive vehicle surroundings entirely and accurately. With the rise in the level of autonomy, the number of perception sensors will increase to provide complete 360o perception of vehicle surroundings and an additional layer o...

With the growing demand for electric vehicles (EVs) and renewable energy storage systems, the need for high-performance batteries is increasing. The shift toward improved battery technologies with higher energy density, longer lifespan, and increased safety is pushing technical advancements in next-generation (next-gen) battery material technologie...

Generative AI (Gen AI) continues to create an impact across industries including automotive. In the next decade, Gen AI is expected to significantly influence automotive value chains, increase efficiency, productivity, and reduce wastes. In the supply chain, it will be used to optimize inventory and demand forecasting while in product development i...

From its conception in the 1950s to early 2023, artificial intelligence (AI) underwent a series of improvements, from machine learning (ML) to deep learning (DL), which enabled it to mimic human responses (conversational AI), identify images (computer vision), and generate digital text, images, audio, and video, among other content types (generativ...

This study provides an in-depth examination of recent advancements in next-generation terahertz (THz) imaging and sensing technologies and their increasingly transformative impact across healthcare diagnostics and security-related applications. It focuses on how emerging THz systems, enabled by significant progress in quantum cascade lasers (QCLs),...

The atmosphere is a potentially limitless alternative water source that has gained increasing industrial interest. Atmospheric water generation technologys entrance into the commercial market is mainly to offer a solution to the worsening global water crisis. Although atmospheric water generation is an ancient practice to harvest water from the ai...