Robotic Next Generation Sequencing Platform Accurately Screens Thousands of COVID-19 Samples at Once
|
By HospiMedica International staff writers Posted on 04 Mar 2021 |

Image: Jeff Wrana, left, is seen in this undated file photo at the Lunenfeld-Tanenbaum Research Institute in Toronto, Canada (Photo courtesy of Sinai Health)
A robotics platform to screen thousands of COVID-19 samples at once has the potential to revolutionize how labs track the spread of viruses and other pathogens, according to new findings.
The study by researchers from the Lunenfeld-Tanenbaum Research Institute (LTRI) at Sinai Health (Toronto, ON, Canada) found that their next-generation, ultra-high-throughput sequencing platform, called C19-SPAR-Se, has a sensitivity rate greater than 95% in positive cases during peak onset. The platform is also cost-effective. The study notes it only costs about USD 8 per test when running thousands of samples at once, as the cost per sample decreases due to economies of scale.
"Identifying positive samples quickly and accurately is critical in beating this pandemic," said Dr. Jeff Wrana, senior investigator at the LTRI and professor in the Department of Molecular Genetics at the University of Toronto. "With new and potentially dangerous variants now circulating, this is a platform that is scalable, automated and capable of analyzing thousands of COVID-19 patient samples in a single instrument run."
Related Links:
Lunenfeld-Tanenbaum Research Institute
The study by researchers from the Lunenfeld-Tanenbaum Research Institute (LTRI) at Sinai Health (Toronto, ON, Canada) found that their next-generation, ultra-high-throughput sequencing platform, called C19-SPAR-Se, has a sensitivity rate greater than 95% in positive cases during peak onset. The platform is also cost-effective. The study notes it only costs about USD 8 per test when running thousands of samples at once, as the cost per sample decreases due to economies of scale.
"Identifying positive samples quickly and accurately is critical in beating this pandemic," said Dr. Jeff Wrana, senior investigator at the LTRI and professor in the Department of Molecular Genetics at the University of Toronto. "With new and potentially dangerous variants now circulating, this is a platform that is scalable, automated and capable of analyzing thousands of COVID-19 patient samples in a single instrument run."
Related Links:
Lunenfeld-Tanenbaum Research Institute
Latest COVID-19 News
- Low-Cost System Detects SARS-CoV-2 Virus in Hospital Air Using High-Tech Bubbles
- World's First Inhalable COVID-19 Vaccine Approved in China
- COVID-19 Vaccine Patch Fights SARS-CoV-2 Variants Better than Needles
- Blood Viscosity Testing Can Predict Risk of Death in Hospitalized COVID-19 Patients
- ‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans
- MRI Lung-Imaging Technique Shows Cause of Long-COVID Symptoms
- Chest CT Scans of COVID-19 Patients Could Help Distinguish Between SARS-CoV-2 Variants
- Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients
- AI Algorithm Identifies Hospitalized Patients at Highest Risk of Dying From COVID-19
- Sweat Sensor Detects Key Biomarkers That Provide Early Warning of COVID-19 and Flu
- Study Assesses Impact of COVID-19 on Ventilation/Perfusion Scintigraphy
- CT Imaging Study Finds Vaccination Reduces Risk of COVID-19 Associated Pulmonary Embolism
- Third Day in Hospital a ‘Tipping Point’ in Severity of COVID-19 Pneumonia
- Longer Interval Between COVID-19 Vaccines Generates Up to Nine Times as Many Antibodies
- AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission
- AI Predicts COVID Prognosis at Near-Expert Level Based Off CT Scans
Channels
Artificial Intelligence
view channel
New AI ECG Tool Detects Early Heart Disease
Heart disease remains a leading cause of premature death, claiming almost 18 million lives each year. Early detection is crucial because timely intervention can change prognosis and conserve resources.... Read more
AI Platform Supports Noninvasive Remote Hemodynamic Monitoring in Heart Failure
Heart failure remains a leading cause of hospitalization in adults over 65, affecting more than 6.7 million people in the U.S. Clinicians often lose visibility into hemodynamic deterioration once patients... Read moreCritical Care
view channel
AI Tool Identifies Children With Pneumonia Requiring Hospital Care
Pneumonia is the leading infectious killer of children under five, causing nearly one million deaths each year. Early recognition of severe cases in primary care is difficult, and current international... Read more
AI Ultrasound System Improves Safety of Blood–Brain Barrier Opening
The blood–brain barrier (BBB) is a protective interface that prevents most drugs and diagnostic molecules from reaching brain tissue. This safeguard complicates treatment and monitoring of brain tumors... Read more
CE-Marked Smartphone AI Enables Autonomous Skin Cancer Assessment at Point of Care
Skin cancer is among the most common malignancies in Europe, with more than one million non-melanoma cases and over 100,000 melanoma diagnoses each year. Early detection is critical for improving outcomes,... Read more
Handheld Optical Device Screens for Early Necrotizing Enterocolitis in Preterm Infants
Necrotizing enterocolitis (NEC) is a sudden, rapidly progressive intestinal disease of premature infants that can lead to sepsis, surgery, and death. Clinicians struggle to recognize NEC at its earliest... Read moreSurgical Techniques
view channel
Computer-Assisted Vacuum Thrombectomy System Cleared for Stroke Care
Effective clot removal is central to acute ischemic stroke care, as incomplete extraction can increase the risk of serious complications, disability, or death. Interventional teams continue to seek approaches... Read more
Near-Infrared Exoscope Enables Real-Time Perfusion Assessment and Lymphatic Mapping in Open Surgery
Open surgery can make it difficult to assess tissue perfusion and lymphatic flow in real time, limiting intraoperative certainty. Near-infrared fluorescence with indocyanine green reveals details not visible... Read morePatient Care
view channel
AI Avatar Doctor Improves Patient Understanding Before Radiotherapy
Radiation oncology consultations require patients to grasp complex concepts quickly, yet anxiety and information overload often undermine understanding and informed consent. Poor comprehension can also... Read more
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read moreHealth IT
view channel
AI Tool Screens for Primary Aldosteronism Using Routine EHR Data
Primary aldosteronism, an adrenal disorder that causes excess aldosterone and secondary hypertension, is frequently missed despite its association with cardiovascular complications. Underdiagnosis can... Read moreAI-Enabled ECG Software Predicts One-Year Atrial Fibrillation Risk
Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with increased risks of stroke, heart failure, and death. Detection remains challenging because AF is often asymptomatic... Read morePoint of Care
view channel
Handheld AI Device for Point-of-Care Skin Lesion Assessment Receives CE Mark
DermaSensor (Miami, FL, USA) has received a Class IIb CE Mark for its handheld DermaSensor device, marking the start of the company’s global expansion strategy. The certification demonstrates conformity... Read more
Portable Immunoassay System Advances Toward Point-of-Care Biomarker Testing
Proxim Diagnostics Corp. (Santa Clara, CA, USA) has announced that its Profile System, a handheld point-of-care immunoassay platform, has completed development. The milestone includes completion... Read more
Portable MRI System Accelerates Emergency Brain Imaging and Triage
Emergency departments frequently face delays accessing conventional magnetic resonance imaging (MRI) for patients with suspected neurological emergencies. Such waits can slow triage, prolong boarding,... Read more








