Stanford Medicine Scientists Sequence Patient’s Whole Genome in Just Five Hours Using Nanopore Genome Sequencing, AI, and Cloud Computing

And in less than eight hours, they had diagnosed a child with a rare genetic disorder, results that would take clinical laboratory testing weeks to return, demonstrating the clinical value of the genomic process In another major genetic sequencing advancement, scientists at Stanford University School of Medicine have developed a method for rapid sequencing of patients’ whole human genome in as little as five hours. And the researchers used their breakthrough to diagnose rare genetic diseases...

Researchers Create Artificial Intelligence Tool That Accurately Predicts Outcomes for 14 Types of Cancer

Proof-of-concept study ‘highlights that using AI to integrate different types of clinically informed data to predict disease outcomes is feasible’ researchers say Artificial intelligence (AI) and machine learning are—in stepwise fashion—making progress in demonstrating value in the world of pathology diagnostics. But human anatomic pathologists are generally required for a prognosis. Now, in a proof-of-concept study, researchers at Brigham and Women’s Hospital in Boston have developed a method...

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...

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...

Nagoya University Researchers Develop Highly Accurate MicroRNA Urine Test That Identifies Brain Cancer in Patients with Tumors

MicroRNAs in urine could prove to be promising biomarkers in clinical laboratory tests designed to diagnose brain tumors regardless of the tumor’s size or malignancy, paving the way for early detection and treatment Researchers at Nagoya University in Japan have developed a liquid biopsy test for brain cancer screening that, they claim, can identify brain tumors in patients with 100% sensitivity and 97% specificity, regardless of the tumor’s size or malignancy. Pathologists will be interested...
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