Long Covid Diagnosis

Scientists have found patterns of inflammation similar to those in adults with the condition.

Higher leukocyte count measured decades before pandemic linked with more long COVID symptoms

The molecular signature of Long Covid in children’s plasma has been found using an AI-based tool on a blood sample. It works with 93% accuracy.

In summary, we identified a subgroup of potential biomarkers for predicting the risk of the progression into long COVID after COVID-19 infection, which could be partly elucidation of the associated molecular mechanisms for long COVID.

The firm says for some people it can confirm the existence of long Covid and help treatment.

Deep learning methods have significantly improved medical image analysis, particularly in detecting COVID-19 chest X-rays. Nonetheless, these methodologies frequently inhibit some drawbacks, such as limited interpretability, extensive computational resources, and the need for extensive datasets. To …

New research shows that AI could help improve overall care of Long Covid patients by combing data to help pinpoint typical care needs, such as what specific departments and care teams are required to meet patient needs.

The political response to climate breakdown and a pandemic has been a rise in populism - with women and long Covid caught in the crosshairs

The National Academies' 2024 Diagnostic Criteria for Long COVID: Concerns that Could Affect the Rheumatology Community

A new machine learning technique could help inform clinical decision-making across hospital systems to address the challenges of long COVID-19 care. 

Compared with post-COVID-19 patients who have completely recovered by 12 months after hospital discharge, those who have subsequently developed 'very long' COVID were characterised by a variety of more pronounced residual predischarge abnormalities that had mostly subsided by 1 month, except for ste …

Background: COVID-19 is capable of inducing myocardial injury even after mild infections. Speckle tracking echocardiography (STE) offers a sensitive assessment of myocardial strain, which serves as an early indicator of cardiac dysfunction. Aim and Objectives: The purpose of this study is to assess the effectiveness of STE in detecting subclinical myocardial dysfunction in young adults who have recovered from mild COVID-19, in comparison to healthy control subjects. Patients and Methods: The study involved 25 patients aged between 18 and 40 years who had recovered from mild COVID-19 and 25 age-matched healthy controls. Both groups underwent comprehensive echocardiographic evaluations, including STE, to analyze longitudinal strain. Results: While conventional echocardiographic evaluations showed no significant differences between the groups, LV GLS was notably lower in the COVID-19 group (-24.8%) compared to the controls (-26.5%). This reduction in LV GLS, identified solely through STE, suggests myocardial dysfunction. COVID-19 is an independent predictor of reduced LV GLS after adjusting for potential confounding factors. Conclusion: STE is effective in identifying subclinical left ventricular dysfunction that standard echocardiography may overlook in individuals who have recovered from mild COVID-19. STE is superior in detecting these subtle yet significant changes, highlighting its value in post-COVID-19 cardiac assessment.

New data show significant state and regional variations in long COVID rates, and experts think they know why.

Long COVID (LC) is a great global health concern, affecting individuals recovering from SARS-CoV-2 infection. The persistent and varied symptoms across multiple organs complicate diagnosis and management, and an incomplete understanding of the condition hinders advancements in therapeutics. Current diagnostic methods face challenges related to standardization and completeness. To overcome this, new technologies such as sensor-based electronic noses are being explored for LC assessment, offering a noninvasive screening approach via volatile organic compounds (VOC) sensing in exhaled breath. Although specific LC-associated VOCs have not been fully characterized, insights from COVID-19 research suggest their potential as biomarkers. Additionally, AI-driven chemometrics are promising in identifying and predicting outcomes; despite challenges, AI-driven technologies hold the potential to enhance LC evaluation, providing rapid and accurate diagnostics for improved patient care and outcomes. This review underscores the importance of emerging and sensing technologies and comprehensive diagnostic strategies to address screening and treatment challenges in the face of LC.

The compact MIRO CANVAS provides true walk-away automation of complex next generation sequencing library preparation and hybridization protocols.

In patients with PI-RADS 3 lesion assessments, the combination of AI and prostate-specific antigen density (PSAD) level achieved a 78 percent sensitivity and 93 percent negative predictive value for clinically significant prostate cancer (csPCa), according to research presented at the Radiological Society of North American (RSNA) conference.

Ms. Theresa Mallick-Searle and Dr. Anuj Aggrawal discuss diagnosing background pain following a SARS-CoV-2 acute infection, at the 2024 Pain Week conference, held in Las Vegas.

Background: Long COVID patients are prone to bronchial hyperresponsiveness and respiratory symptoms like coughing and breathing difficulties, often with posi...

FBB Biomed today announced it has signed a Master Services Agreement with Verici Dx plc (AIM: VRCI.L), for Laboratory Services for Research-Use-Only (

An AI-based algorithm accurately diagnosed unidentified cases of long COVID using patient health records, according to study results published in Med.The findings also revealed a significantly higher percentage of the population experiencing long COVID symptoms than what has been previously reported.

“[O]ur data do not support the hypothesis that early COVID resulted in more significant structural or electrical cardiac remodeling that would increase the likelihood of atrial fibrillation progression,” the authors said.

A PET/MRI study by a group in Germany in this session suggests that the modality holds promise in evaluating myocardial injury in long COVID patients.

Given the challenges in diagnosing children with long COVID, we sought to explore diagnostic practices and preferences among clinicians. A ten-question surve...

So you weathered COVID-19? Doctors believe you're more at risk now for long COVID-19. KY3's Steve Grant and the Kansas City Beacon's Suzanne King discuss the research.

A new study has found the groups of people most likely to be diagnosed by a GP with Long COVID. But they aren’t necessarily those most likely to develop it. Listen to SBS Sinhala podcast for more information.

Mass General Brigham researchers have developed an AI that can spot hidden cases of long COVID from electronic health records.

This innovative AI tool enhances long COVID diagnosis by using precision phenotyping, offering a clearer understanding of the condition's prevalence and impact.

The past few years have witnessed the emergence of Long COVID, a condition defined by various debilitating symptoms persisting following COVID-19 infection. This…

A new study shows how AI can help identify long COVID or post-acute sequelae of COVID-19 in patients using electronic health record data.