Search results for: 'User and Entity Behaviour Analytics Based on Machine Learning'

Traditional training environments face patient safety risks, resource constraints, and limited exposure to rare event scenarios. Additionally, physical simulations are costly, limiting accessibility (especially in resource-constrained settings). Current simulation models lack personalization, resulting in operational complexity for hospitals due to...

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 story for 2024 is artificial intelligence (AI). Businesses across industries are scrambling to determine how they can leverage AI, particularly generative AI (GenAI), to meet their business goals. Public cloud providers are at the forefront of the effort to accelerate AI adoption among customers by developing foundational models and user-friend...

09 Sep 2024  |  Global  |  Technology Research

AI-based Drug Repurposing Market, Growth Opportunities, Global, 2024-2029

AI-based Drug Repurposing is emerging as a new and faster approach to bringing drugs to patients.

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This study analyzes the emergence of AI-based drug repurposing and examines the factors driving and hindering adoption. The limitation of traditional drug discovery has led to the growing interest in AI -based drug repurposing, which offers numerous advantages in terms of time, speed, and cost. AI-based drug repurposing has been explored across dif...

This study examines how healthcare organizations are advancing their cloud strategies amid rising demand for AI, increased financial pressures, and growing operational complexity. Findings show that the cloud has become the core foundation of digital transformation, with adoption shifting from basic migration toward modernization, automation, and A...

RNA therapeutics is a rapidly expanding field of next-generation medicine. RNA therapy typically comprises 4 different classes of molecules: non-codingRNA (ncRNA), antisense oligonucleotide (ASO), messengerRNA (mRNA), and RNA aptamer. Small ncRNAs are like a double-edged sword; they can either up- or down-regulate specific genes. Contrarily, long...

Computed tomography, X-ray radiography, and magnetic resonance imaging have been invaluable tools in disease diagnosis and treatment efficacy assessments, but the practice of manual viewing and grading medical images to identify abnormalities is time-consuming and can delay diagnosis for critical patients. Intelligent imaging analysis systems that...

The discovery of new drug targets for diseases with unmet medical needs has long been hindered by the complexity of processing and interpreting massive volumes of biological data. The increasing volume and veracity of clinical and research data compels the use of enabling tools and technologies, such as cloud computing, AI, machine learning, natura...

The latest issue of Advanced MedTech Technology Opportunity Engine (TOE) profiles a wide range of innovations from the advanced medical devices, wearables, and diagnostics industry. The issue includes advanced medical devices such as high-resolution extended electrocardiography, non-diffractive intraocular lens, ultrasonic device to simplify roboti...