Diagnosing Ovarian Cancer Using Perception-based Nanosensors and Machine Learning

Two studies show the accuracy of perception-based systems in detecting disease biomarkers without needing molecular recognition elements, such as antibodies Researchers from multiple academic and research institutions have collaborated to develop a non-conventional machine learning-based technology for identifying and measuring biomarkers to detect ovarian cancer without the need for molecular identification elements, such as antibodies. Traditional clinical laboratory methods for detecting...

Researchers Use Machine Learning to Identify Thousands of New Marine RNA Viruses in Study of Interest to Microbiologists and Clinical Laboratory Scientists

Screening and analysis of ocean samples also identified a possible missing link in how the RNA viruses evolved An international team of scientists has used genetic screening and machine learning techniques to identify more than 5,500 previously unknown species of marine RNA viruses and is proposing five new phyla (biological groups) of viruses. The latter would double the number of RNA virus phyla to 10, one of which may be a missing link in the early evolution of the microbes. Though the...

Artificial Intelligence in Digital Pathology Developments Lean Toward Practical Tools

Patient care gaps can be addressed by machine learning algorithms, Labcorp vice president explains Is there hype for artificial intelligence (AI)? As it turns out, yes, there is. Keynote speakers acknowledged as much at the 2022 Executive War College Conference on Laboratory and Pathology Management. Nevertheless, leading clinical laboratory companies are taking real steps with the technology that showcase AI developments in digital pathology and patient care. Labcorp, the commercial...

What is Swarm Learning and Might It Come to a Clinical Laboratory Near You?

International research team that developed swarm learning believe it could ‘significantly promote and accelerate collaboration and information exchange in research, especially in the field of medicine’ “Swarm Learning” is a technology that enables cross-site analysis of population health data while maintaining patient privacy protocols to generate improvements in precision medicine. That’s the goal described by an international team of scientists who used this approach to develop artificial...

Proof of Concept Study Demonstrates Machine Learning and AI Can Identify Cancer Cells Based on pH Levels; May Have Applications in Surgical Pathology

The new method employs a pH sensitive dye and AI algorithms to ‘distinguish between cells originating from normal and cancerous tissue, as well as among different types of cancer’ the researchers said Might a pH-sensitive dye in tandem with an image analysis solution soon be used to identify cancerous cells within blood samples as well within tissue? Recent research indicates that could be a possibility. If further studies and clinical trials confirm this capability, then anatomic pathologists...
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