Search results for: 'learning algorithm'

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...

06 May 2024  |  Global  |  Technology Research

Digital Pathology Technology Innovations and Growth Opportunities

Disruptive technologies like AI-based image analysis algorithms are boosting diagnostics and drug development research

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The digital pathology industry is witnessing steadily increasing competitive intensity, with the entry of several start-ups putting market players under pressure to create unique, disruptive products. While digital pathology includes slide digitalization, image analysis algorithms, and image storage and management solutions, this report focuses on ...

Smartphone-based point-of-care (POC) diagnostics are rapidly emerging as medical diagnostics, enabling remote or self-monitoring tools for general wellness and a range of health conditions. Smartphones enable low-cost, rapid, and handy POC diagnostics. Intrinsic sensors of smartphones or extrinsic sensing devices working with intelligent data analy...

12 May 2020  |  Global  |  Technology Research

Advanced Non-contact Patient Monitoring Technologies: A New Paradigm in Healthcare Monitoring

Mobile-based Platforms, Artificial Intelligence-based Algorithms, and Video Analysis Defining New Approaches for Remote Patient Monitoring

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Wearable devices such as smart watch and bands have gained huge acceptance from the healthcare industry as they can continuously track different health parameters and offers valuable insights to the healthcare providers anytime without any need for clinic visits. Even after huge market adoption of wearable devices, patients still complain about the...

Virtual healthcare assistants are playing an instrumental role in improving healthcare delivery. They help patients take charge of their health through personalized reminders, symptom tracking, and health monitoring, and offer instant access to care by immediately answering queries and reducing appointment wait times. They support healthcare profes...

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...

This Frost Radar benchmarks companies offering lab automation and monitoring solutions for diagnostics labs: hospital and independent labs including multi-chain organized, unorganized, and university labs. Lab automation solutions cover aspects of operations such as pre-pre-analytical, pre-analytical, and post-analytical workflows, whereas lab...

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...

Clinical decision support systems (CDSS) provide actionable information for improving the decision making abilities of the health professionals. However, the traditional CDSS platforms have drawbacks such as alert fatigue, diagnostic errors, workflow disruptions that can have detrimental effect on patients health outcomes as well as healthcare prov...