Search results for: 'computation science and engineering'

Laboratory information management systems (LIMS) for the life sciences industry can streamline research programs and improve lab efficiency and collaboration between stakeholders. Of more than 120 participants in this space, this Frost Radar™ highlights the top 12 companies that generated revenue from these systems between 2019 and 2022. These indu...

This edition of the Cyber Security Technology Opportunity Engine (TOE) explores emerging growth opportunities in autonomous multi-agent security operations, agentic AI-driven threat investigation, AI-native data governance, infrastructure identity security, and Zero Trust network protection. It highlights innovations in AI-powered SOC platforms, de...

This edition of the Cyber Security Technology Opportunity Engine (TOE) captures developments related to AI-Native Identity Security, Supply-Chain Security, AI-Native Application Security, Data Security, Social Engineering Defense, Autonomous Penetration Testing, AI-Powered Security Workflows, External Threat Landscape Management, Browser Detection ...

The global life sciences laboratory information management systems (LIMS) industry is forecast to grow from 2026 to 2031 at a CAGR of 8.5%, driven by the increasing need for laboratory automation, regulatory compliance, and cloud-based solutions. Leading players in the global life sciences LIMS market, including LabWare, Benchling, Clinisys, LabVan...

The impressive advances in life sciences research and development (R&D) befallen in the past two-three years are playing a leading role in the transformation of the healthcare industry. A myriad of new developments in the fields of gene and cell therapies, empowered with nanotechnology advances, omics technologies and novel smart molecules approach...

Quantum computing technology is constantly evolving and finding applications across various sectors, including healthcare and security. This revolutionary technology holds immense potential to resolve complex computational tasks that current computing systems cannot address. Unlike classical computing systems, quantum computing is based on quantum ...

Conventional artificial intelligence (AI)-enabled processors are based on rule-based algorithms and are optimized for applications, such as real-time monitoring and reporting. However, with increasing demand for fully autonomous solutions, there is a need for perceptive solutions capable of making probabilistic decisions, replicating the human brai...

The World Life Science Mass Spectrometry Market deliverable of the Proteomics Market Service provides a detailed analysis of four key segments including MALDI-TOF, QTOF, Triple Quadrupole and Ion Trap instruments. In addition to providing analysis of unit shipments, average pricing and revenue forecasts, we examine market dynamics including analys...

28 Aug 2020  |  Global  |  Technology Research

Data Science Impacting the Pharmaceutical Industry

Part I: Drug Discovery Applications

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Data science and AI have the potential to transform drug discovery in terms of costs, speed and efficiency. With explosion in biomedical data, data sharing and analysis platforms have surged. AI technologies are moving to the next phase of advancements, and when combined with other emerging tech areas, AI is expected to witness a full fledged adopt...