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A major challenge in drug discovery is the limited number of gene targets that can be targeted for the development of a drug molecule. Only close to 400 genes are proven targets for US FDA-approved drugs. 80% of human genes are unexplored as targets, and some are considered undruggable. The identification and the selection of novel drug targets (p...

22 Apr 2022  |  Global  |  Market Research

Global Deep Brain Stimulation Growth Opportunities

Exploration of New Clinical Applications Drive Future Growth Potential

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Deep brain stimulation (DBS) therapies target a growing number of existing indications, including movement disorders and neuropsychiatric conditions, and newer areas such as lifestyle disorders, including diabetes and obesity. This will allow more patients to benefit from the therapy. According to the WHO, neurological diseases currently contribute...

This edition of the Life Science, Health & Wellness Technology Opportunity Engine (TOE) delivers provides strategic insights into breakthrough innovations shaping the future of healthcare, life sciences, and precision therapeutics. It highlights advances in AI-enabled diagnostics, metabolic reprogramming, small molecules, deep proteomics, RNA disco...

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...

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...

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...

Digital Pathology encompasses the use of optmized pathology workstations, whole slide imaging, image analysis, image management, laboratory information management system, use of machine learning, data handling and storage. Pathology is one of the most important fields in medicine, as the service provides investigation and validation platform in lie...

21 Aug 2018  |  Global  |  Market Research

Artificial Intelligence for Medical Image Analysis—Companies-to-Action, 2018

Lay of the Land, Growth Opportunities and Future Direction

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Key Issues Addressed

Medical imaging has become the bellwether application for artificial intelligence (AI) technologies in healthcare. From deep learning and machine learning approaches, to cognitive computing, to even natural language processing, several AI approaches are now being incorporated in the field of radiology. Apart from academic research groups, almost al...

This Frost & Sullivan research service discusses advances in AI integration in Molecular Diagnostics, highlights key advantages of incorporating AI in the diagnostics workflow and roadblocks that have prevented it from becoming mainstream. While AI is widely used in radiology- and pathology-based diagnostics, its adoption is gradually increasing in...